automation on S Anand

Oh Shit moments with Gen AI

Sun, 07 Jun 2026 20:13:01 +0530

Hacker News has a lively thread asking What was your “oh shit” moment with GenAI?.

Here are two dozen that gives a sense of what real people find impressive (or worrying) about AI capabilities.

Analysis simonw used ChatGPT Code Interpreter to upload a CSV, analyze it, create charts, automating everything a software for journalists would do.
Analysis Sobrino saw that a months-long OCR project to read and clean-up PDFs is now just a prompt on ChatGPT.
Coding plumefar used Claude and Gemini to modernize 20-30 years of chemistry code in 10 days.
Coding veidr used a multi-agent fleet managing coordination, testing, UI feedback loops, etc. with no-human-in-loop coding to build a useful git-submodule GUI.
Creativity idopmstuff used Nano Banana Pro to turn a poor iPhone product photo into usable e-commerce product photography and Amazon-style infographics, replacing a photographer/designer workflow.
Creativity koreth1 used Suno to generate a K-pop-style anthem about their family dog with a catchy melody and lyrics funny enough to make the family laugh.
Education plagasul saw a teacher automate grading feedback emails based on notes and the student list spreadsheet.
Education aniviacat watched a non-technical brother build a complex working app with Codex using vague, shallow wording despite not knowing code, git, or technical details.
Hardware ivanvanderbyl used Claude to reverse engineer a FujiFilm camera’s Bluetooth/Wi-Fi transfer protocol and build a much faster native Mac/iOS transfer app.
Hardware shreddude had Claude decompile camper van firmware, document CAN interfaces, and program an ESP32 to control power, HVAC, lighting, and tanks.
Health TylerE used Claude as a health adjunct to organize a complex medical profile, screen for drug interactions, log symptoms, and draft portal messages to doctors.
Legal bsiverly used AI to prepare a San Francisco property-tax appeal with valuation research, and the city agreed, sending a $12k refund.
Legal grumblepeet used AI to fill out complex government-framework enrollment forms and identify the certification steps needed, transforming their business.
Personal acosmism used ChatGPT screenshots to understand and operate a 100-year-old home’s steam heating system in winter despite knowing nothing about it.
Personal andrewthornton used Gemini videos to diagnose a broken furnace during a cold holiday weekend and keep it running until HVAC service arrived.
Research angusturner found that Opus does reads papers, does architecture research and creates CUDA kernels… It is AI automating AI research.
Research chaoxu used ChatGPT to find a counterexample to a theoretical computer science conjecture they’d been trying for 2 years.
Research rochansinha built a physics-based digital twin for an electrolyzer system, covering thermodynamics, fluid dynamics, and electrochemical reactions at a level usually needing expensive specialist software.
Security kstrauser used a coding agent to test an open source vulnerability, and in a few minutes, had a tool that could crash any system using this software.
Security raesene9 gave an LLM a Linux privilege-escalation PoC and asked whether it could become a container breakout; it generated a working container breakout in one prompt.
Society laboring1 read that a character.ai chatbot encouraged a child to commit suicide, making the “oh shit” moment about real-world harm, not capability.
Society ozgung realized AI makes large-scale profiling, surveillance, and social-media analysis cheap, fast, and accurate enough to change privacy and power dynamics.
Work binarysolo used Gemini to reverse engineer a departed employees’ work from their emails/docs/calendar/meetings and create an onboarding document.
Work eqmvii built a Slack agent that took over a 30-minute internal business process, handled ambiguity and edits, and eventually killed the old process.

Agent-consumable content

Tue, 19 May 2026 11:08:59 +0800

I’m making more and more of my content agent-consumable, i.e. easier for ChatGPT, Claude Code, etc. to read, in three ways.

One, I export content in an agent-friendly way.

Google email, calendar, chat. I use gws to back up into scannable one-line entries.
Meet recordings. I back up transcripts and videos (with a compact audio copy).
WhatsApp chats that I back up into similar one-liners.
Browsing history by exporting my Edge history SQLite database.
Daily activities by integrating the above with my command line and commit history.
AI conversations by exporting them manually or via bookmarklets.
Social media records like LinkedIn invites/conversations, Twitter, Hacker News, Discourse, etc via bookmarklets or scripts.
Financial records like bank statements, receipts, payslips, tax filings, utility payments, rentals, property records, investments, insurance, pensions, invoices, credit scores, etc. by exporting them manually.
Medical records like tests, prescriptions, doctor visits, etc. by exporting them manually.
Personal records like certificates, educational records, CV, passport / visa applications, etc. by exporting them manually.

Two, I log / generate more content. For example:

Things I learnt and blog posts I write.
Prompts I use frequently.
Trending GitHub repos I want to evaluate.
Talks I deliver and data stories I write.
Demos I build and code I write.
Weight and other fitness data.
Teaching material, assessments and evaluations and analysis.
Coding agent logs.
Sensors: Location, mostly.
Daily journals: Food, sleep, deeds, pains, …
Media journals: Books, movies, TV series, …
Notes (of various kinds): TODOs, app / tool ideas, people I know / meet, questions I’m asked, my beliefs, …

(Notably missing are photos / videos, which I’ve fallen out of the habit of.)

Three, I summarize the content for agents. For example:

Adding blog frontmatter by summarizing my blog posts
Adding transcript frontmatter by summarizing my meeting transcripts.
Identifying actions extracted from transcripts.
Summarizing my code as podcasts.
Summarizing prompts as SKILL.md files.
Summarizing conversations into advice for AI, time management, etc.
Summarizing technical choices into a technology radar
Extracting transcripts elements, like insights, experiments to run, actions, what I missed, what they missed, etc.

On my list is Karpathy’s LLM wiki, summarizing my photos, and more.

Just writing this post took me an hour! It also convinced me that I have lots of content and there’s a lot of under-leverage in unleashing agents on what I already have.

People skills with AI

Sun, 17 May 2026 22:45:57 +0800

I advise people that people skills are important in the AI era.

Now, I’m using AI to help me with people skills.

This morning, I wrote a script to export my WhatsApp conversations this year. That makes it easy to feed it into AI models.

Then I used my Local MCP connector and asked Claude:

Who are people in my life that most deserve an unreasonable gesture of thanks and what would that be?

It went through my WhatsApp messages – including threads I had not read. Including a group discussing four 90-minute hands-on AI workshops I’m running for IIM alumni in Singapore on Saturday afternoons:

23 May: Context engineering
20 Jun: AI tools & workflows
25 Jul: Agentic analysis
22 Aug: AI strategy

Nayana Jain prepared a series of LinkedIn / WhatsApp posts to promote this workshop series and also created a poster for the workshops - and the best part of it was they were AI-generated. AI didn’t do a great job at the logo, so she asked for and got the IIMPACT logo (which isn’t public) and fed it to the model to re-generate it.

All of this is something I wasn’t even aware of until Claude pointed it out.

I sent a note thanking her.

And, evidently, AI is teaching me how to be human.

Hack of the Day on Times of India

Fri, 27 Mar 2026 11:29:35 +0800

Last Friday, 20 Mar 2026, this “Hack of the Day” was published by The Times of India.

My agents generated it entirely automatically. Here’s how that happened.

On 12 Feb 2026, I met Rohit Saran, Managing Editor at The Times of India.

“Our biggest challenge is the starting challenge. What story to do?” he said. “We waste a lot of time and we starve stories because of this.”

What if AI could help with that? We talked for nearly two hours - and left asking: “Should we do just a daily visual newspaper?”

Rohit connected Saurabh, Saikat, and Sajeev, so we could explore what’s possible.

FIND PROMISING CANDIDATES.

The Times of India already had recurring formats they wanted to drive with AI.

Statoistics (data-driven visual explainers of statistics and trends) was one.
Hack of the Day (small tech tips for non-tech-savvy readers) was another.

We weren’t beginning from scratch. There was rich material and a realization that recurring newsroom formats are ideal for AI because they are structured, frequent, and feedback-rich.

Hack of the Day stood out: small, recurring, text-only, needing little research, with a clear purpose — useful tech tips for everyday readers. Saikat defined 3 concrete goals for this:

Generate about 90 new hacks to extend the feature for around three more months.
Generate those in the existing format.
Explore alternative visual formats for future replacement or redesign.

STUDY THE ARTIFACT.

So, on 6 Mar 2026, Saikat sent me 10 samples of Hack of the Day to understand the format, layout, variety, etc. By 10 Mar 2026, I had a few prototypes ready. I asked ChatGPT a series of questions:

Analyze these 10 “Hack of the Day” images carried in The Times of India. If I had to ask an intern (or an AI agent) to create several such, then what prompt will give me this kind of content in exactly this format?
List all past hacks from https://timesofindia.indiatimes.com/technology/hack-of-day - it has 2 pages, read from both
Find and list 10 high impact non obvious widely useful hacks similar to these
Write these hacks in the format of the cards below. Mimic the structure, style, and verbosity of the cards. (Schema attached)
Nice! Continue the search extensively and give me 10 more. Make sure these are ULTRA useful to a LARGE number of people and yet many people are probably not aware of these hacks.

… to create a cards.json.

Then I asked Claude Code to “Create a template.html that can be combined (e.g. via mustache) with a JSON that, when run, produces the EXACT visual output as the cards in *.avif.”

Saikat reviewed these and noted that some had already been done by TOI, but some looked new and usable. So the first batch served as a proof of possibility.

DO MORE OF WHAT AI DOES WELL

To get the output fast and to make iterations easier, I did a few things that are easy for AI and not natural for humans:

Generate code, not images. The TOI team had experimented with image generation. That didn’t work well - and I know that. I proposed generating HTML/SVG instead. It does that well. It’s editable by humans and AI. That makes the workflow practical.
Use JSON, not English. I used ChatGPT to research and generate structured JSON, then Claude to render it visually. Each tool did what it does best. Specifically, I had ChatGPT generate structured JSON that can be easily read and programmatically processed by coding agents.
Generate many variations. Generation is cheap. I had ChatGPT generate dozens of hacks in one go. I had Claude generate design variations like Classic Blue, Broadsheet Heritage, Saffron Signal, etc.
Publish a gallery. Creating a gallery of generated outputs is a simple enhancement that allows for easier review, comparison, and selection. The Gallery made reviews and feedback much easier.

These make iterations faster, richer, more reliable and reviewable.

ITERATE FEEDBACK FAST

During the session on 10 Mar, I spoke with ChatGPT and told it (verbally) what Saikat said:

Look, all of this is nice, but some of these have already been covered by the Times of India’s previous hack of the days.

Also, I get a feeling that it’s getting a little repetitive. Let’s go a little global, doesn’t have to be only about Indian government sites.

Let’s talk about things that people use on a practical, day-to-day basis and see what is really useful and not always obvious to them, even though there is a widespread adoption of some of these.

It doesn’t have to be technological hacks either. It could be social hacks, educational hacks, cultural hacks.

The point is that it should be from some primary source. Now, keeping this in mind, give me about a dozen of these and give it in the JSON format that you’ve done so far.

Feedback is the critical loop. The system improved not because the model changed, but because the editorial feedback got sharper.

I explicitly asked for voice-note feedback on WhatsApp to speed up the review cycles. Just one line explaining what’s rejected and why. By 17 Mar 2026, we had 64 hacks, of which 32 were rejected for these reasons:

15: “Published earlier”
1: “Duplicate of a similar one”
15: “Hacks must be platform agnostic” (not Android / iPhone specific)
1: “Not a tech hack” (e.g. health)

RETAIN EXISTING VISUAL FORMATS

People are used to seeing things in a certain way. That inertia has value (brand recognition, reader familiarity, workflow compatibility, etc.) That was reflected in the granular feedback Sajeev shared about the design (which I translated directly into prompts):

The fonts are much smaller
The steps are supposed to look like folders, overlapping / stacked. Right now, they look like rounded cards with a gap between them.
Hack of the day is not horizontally / vertically centered.
The QR code formatting is off.
The name in the email ID should be in bold, and the domain in regular font.
The number in the steps must be larger, and in a different font - look carefully.
The text in the steps must be closer to the number - look carefully.
Vertically center the step elements.
Replace fonts with the closest Google Fonts.
The hacks are typically taller. Increase the size of the cards.
The color contrast (blue on blue) makes a lot of content barely visible. Review the foreground-background color contrast across elements and ensure contrast while preserving aesthetics.
STEPS: is too small and too close to the “What to do” section

We still haven’t nailed it perfectly. This is a long tail. The big win is getting it to the point where manual edits are minor.

ALIGN WITH EXISTING WORKFLOWS

TOI needed outputs designers could adjust in their workflow. The team uses InDesign / Illustrator, so we needed to:

Align with tools. I prompted: “I could not load the generated SVGs on Gnome nor on VS Code’s image viewer. But they render on Chrome. Get them to work on these as well. Keep in mind that they’ll finally be opened by Adobe Illustrator and similar tools - so tool compatibility is important. Update SVG templates accordingly and test if you can.”
Align with fonts. I prompted: “Modify the hackoftheday/ HTML and SVG to use the Poynter Agate One font from assets/*.otf. Use the bold condensed / condensed versions.”
Work around tool quirks. I prompted: “Modify the SVG rendering to native SVG elements: text and tspan (not foreignObject, div), rect, clipPath, defs > style, named fonts, styles scoped via CSS classes on SVG elements, static pre-positioned elements. No JavaScript, div, @import, QR code library, etc. Use robust libraries for conversion if required.”

PUSH FOR PRODUCTION

New workflows take time to stick. 6 Mar to 20 Mar (two weeks) is probably record time. The actual generation took a few hours. Reviews took a few days. Most of the time was just the gap between meetings, where ideas sink in. The impetus came from the meetings where I kept asking: “What’s stopping us from publishing?” and then fixing that.

On 20 Mar 2026, the first AI-assisted Hack of the Day was published. More followed.

My agents are an integral part of a newsroom.

This is so cool!

Coding agents ARE the new software

Mon, 23 Mar 2026 16:03:18 +0530

Increasingly, I use coding agents instead of writing software. For example, I built a Blog UMAP. Then, I built Calvin UMAP. And more. But instead of building re-usable software, I just ran Claude with prior context.

Increasingly, I use coding agents to run software. For example, I use Codex to classify my expense receipts. It writes re-usable code, but I run it using Codex, and it updates the code with new/edge cases.

I see a future where coding agents are the wrapper around all software. (Lots of people have spoken about this. I am feeling it now.)

If that’s so, then:

Agents are the new users of software. We need agent-friendly CLI, agentic web accessibility, and stuff like that.
Agents ARE the new software. I mean, all sofware is just one coding agent. “Tell the agent to do it”. It’ll find & install what’s required or write it - to get the job done.

If agents are a genie we can’t push back into the bottle, I guess we’ll see more (naive) usage, meaning:

More one-off uses, e.g. personal use tools & projects (which is great! That’s like Excel templates and macros.)
More prototypes that are NOT production-ready, leading to Vibe Code Fixer and AI Slop Fixer roles. Also:
- AI Policy Architects (project managers)
- AI Architects
- AI Designers
- AI PromptOps Engineers (developers)
- AI Auditors (testers)
- AI Security Experts

Wait-a-sec… that’s just the usual software roles, but with “AI” in the title, doing slightly different things.

Huh.

AnalAIzing Cloud Costs

Sun, 01 Mar 2026 16:21:25 +0800

I have a GitHub Education since I teach at IITM. But if I switch back to a free account, how much would I need to pay?

I asked Codex (5.3, xhigh):

My GITHUB_TOKEN is in .env. Go through my GitHub billing. Ignore the $100 sponsorships I make. Other than that, my current metered usage is $6.71 for Feb 2026 (which is included in my billing plan). $0.35 comes from sanand0/exam and $0.34 from sanand0/blog and so on. That’s coming mostly from “Actions Linux”, occasionally “Actions Storage”. Pick a few of the top repos and tell me what I should do to make the cost zero - or reduce the cost as much as possible. See if there’s a pattern across repos.

Document all of your findings in analysis.md and continue to append new findings in this file, summarizing my request as a heading followed by your response.

My aim is to stay well below the 2,000 free actions minutes/month - which I’m already below. But still, I want to optimize a bit… Tell me

What my billing would be under a free account

What repos and what activity are the biggest risks for hitting the free limit

After half an hour of my watching a movie, it told me (in great detail - see the details below) that:

My billing is way below the free limit.
I should watch out for GitHub Copilot, frequent CI runs, scheduled jobs.

But the more interesting thing for me is how easy cloud optimization has become with coding agents.

It makes curiosity cheaper. I wouldn’t have sat and written the scripts to figure out where $6.71 went. But coding agents made micro-audits practical (and with clever use of jaq, csvq, and duckdb. If you can get an answer by just from a question, we’d use it like Google - to answer ad hoc questions.
It challenges common sense. I assumed caching was good for speed and compute. But Codex’s analysis of my sanand0/blog actions pointed out that dropping a job’s time from 1.2 minutes to 0.7 minutes doesn’t change the 2-minute billed floor! Also, the 114MB cache increased storage costs. We can test optimizations without assuming.
It exposes blind spots. Turns out that a big chunk of the cost of my (private) TDS exam repo was dynamic/copilot-pull-request-reviewer - a GitHub workflow triggered by using Copilot. I also have a big chunk of “legacy” GitHub Pages on older repos that add to cost because of failures and retries. We can find these invisible leeches draining cost without knowing what to ask for.
It self-corrects. Codex hit a deprecated GitHub billing endpoint (HTTP 410). It curled the GitHub docs, found the new endpoint, and rewrote its query. It made a mistake with csvq, read the help, and switched to duckdb for complex median calculations. That self-correction and learning means that it can work while you sleep.
It fixes, not just finds. Codex rewrote my blog deployment script to use a single job instead of two, to save compute time. I just copied andd deployed it. It went from researcher to advisor. That’s a short step from executor, next.

If analyzing cloud cost is this easy, Cloud FinOps companies face a risk. AWS, Azure, and GCP will simple embed Cloud FinOps into their services. Cloud spend won’t fall – we’ll just use more compute for the same budget.

The big Cloud FinOps companies (e.g. IBM, Flexera, Broadcom) are in some trouble. They can’t cannibalize their own market. They’ll likely shrink and focus on banks & Governments that need a reputable partner.

Companies that own the infra data (e.g. DataDog, Snowflake, DataBricks) will likely grow, since only they can access the context for optimization. That’ll let them provide better service cheaper, e.g. auto-optimize queries, compute, storage, etc. for you.

Pure plays (e.g. CloudZero, Finout) might need to pivot from infra optimization to… something more strategic, I guess.

Here's the full (long) response from Codex

Data source: GET /users/sanand0/settings/billing/usage using your token in .env.
Snapshot time: 2026-02-28T03:24:45Z (UTC).

Ignoring sponsorships, Feb 2026 metered usage is:

Product	Gross Amount
Copilot Premium Request	$5.05
Actions (Linux + Storage)	$1.646844306
Git LFS storage	$0.009750857
Total	$6.706595163

Top Actions repos in Feb 2026:

Repo	Total Actions Cost	Linux Cost	Storage Cost	Linux Minutes
`exam`	$0.354000000	$0.354000000	$0.000000000	59
`blog`	$0.337295637	$0.246000000	$0.091295637	41
`tools-in-data-science-public`	$0.211055072	$0.204000000	$0.007055072	34
`tools`	$0.174166256	$0.174000000	$0.000166256	29
`iss-location`	$0.174000000	$0.174000000	$0.000000000	29
`imdbscrape`	$0.168000000	$0.168000000	$0.000000000	28

Cross-repo pattern:

Your cost is dominated by minute-floor billing per job and trigger frequency, not pure runtime.
Feb run-level pattern (from fetched run/job metadata in top repos):
- dynamic: 9 runs, 79 billed-like minutes (~8.78/run)
- push: 50 runs, 81 billed-like minutes (~1.62/run)
- schedule: 55 runs, 57 billed-like minutes (~1.04/run)

Primary cost-reduction levers:

Disable Copilot dynamic code-review/agent workflows on repos where not needed (exam, tools were the big dynamic consumers).
Restrict Pages deploy workflows to main only (avoid dev/feature branch deploys).
Merge 2-job build+deploy workflows into one job where feasible (reduces per-job minute floor).
Reduce scheduled frequency for daily cron repos if not needed (iss-location, imdbscrape).
For storage, reduce artifact/caches and cleanup stale artifacts.

I expanded analysis across all 14 repos that used Linux Actions minutes in Feb 2026 and fetched per-run job details.

1) sanand0/blog: does disabling cache improve costs?

Workflow history:

Cache was introduced in .github/workflows/deploy.yml commit 4f744fffdeb64aebd09cfc6fd1bb27fd9844842d on 2026-02-20T04:40:39Z.
Previous workflow commit: 61392ee781ff77e9914b0a1a68b852f46d0a66e8 on 2026-01-02T03:11:32Z.

Observed runs around this change (main + dev only):

Phase	Runs	Avg Active Job Min	Median Active Job Min	Avg Billed-like Min	Median Billed-like Min
Before cache (Jan 2 -> Feb 20)	62	1.192	0.900	2.194	2.0
After cache (Feb 20 -> Feb 28)	6	0.744	0.817	1.667	2.0

Interpretation:

No clear billed-minute win from cache: median billed-like is still 2/run in both periods (minute floor + 2 jobs dominates).
Cache likely helped runtime modestly (small active-minute decrease), but sample after cache is small (n=6) and confounded by other workflow changes.
Storage side: current blog caches are ~114 MB. If that stayed all month, rough max cost is about $0.026/month at observed storage unit price; this is only part of blog storage charge ($0.0913).
Therefore, disabling cache may save some storage, but the main cost lever is reducing run count and job count, not cache toggles.

2) Better blog optimizations than cache-off

High-impact changes:

Trigger deploy only on main (Feb had 20 dev deploy runs vs 2 main).
Add path filters so non-site changes do not deploy.
Use a single deploy job (instead of separate build + deploy) to reduce minute-floor overhead.
Keep [skip ci] support.

Explicit workflow suggestion file created:

/home/vscode/Downloads/github-usage/analysis/blog-cost-optimized-deploy.yml

3) Additional repo pattern findings (expanded set)

Feb 2026 Linux-minute repos and event patterns:

Repo	Minutes	Main pattern
`exam`	59	dynamic Copilot runs (`Copilot code review`, `Running Copilot coding agent`)
`blog`	41	push deploy workflow (`Deploy Hugo site`)
`tools-in-data-science-public`	34	push deploy + some dynamic pages runs
`iss-location`	29	daily schedule
`imdbscrape`	28	daily schedule
`tools`	29	push deploy + dynamic Copilot review
`pyoppe`	10	dynamic `pages build and deployment` (legacy Pages), includes retries/failures
`schoolai`	6	dynamic `pages build and deployment` (legacy Pages)
`image-filters`	6	dynamic `pages build and deployment` (legacy Pages)
`llmpricing`	3	dynamic `pages build and deployment` (legacy Pages)

Important hidden pattern:

pyoppe, schoolai, image-filters, llmpricing use Pages build_type = legacy and incur dynamic pages runs.
These runs are tiny but still billed at minute floor and can multiply via retries/failures.

4) What your billing would be under a free account

Assumptions for this estimate:

Focus on Actions minutes/usage behavior from your Feb 2026 data.
Sponsorships still excluded.
Copilot Premium Request billing is separate from Actions minutes.

Your Feb Actions usage:

All repos Linux minutes: 258
Private-repo Linux minutes (exam): 59

Estimate:

Under a 2,000-minute free limit, both 258 and 59 are far below the cap.
So for Actions minutes specifically, you would still be $0 overage this month.

5) Biggest risks for hitting the free limit

If your objective is avoiding 2,000-minute overflow, the highest-risk activity patterns are:

Dynamic Copilot runs on private repos (high minutes per run).
- Example observed: exam dynamic runs consumed 59 minutes from 5 runs.
Many frequent push deploys on multi-job workflows (2-minute floor per push is common).
- Example: blog and tools-in-data-science-public.
Daily scheduled jobs across many repos.
- One daily repo is ~30 min/month baseline; many such repos accumulate predictably.
Legacy Pages dynamic builds with retries/failures.
- Small runs, but multiplicative retriggers add up.

Rule-of-thumb risk math:

~1 daily scheduled workflow ~= 30 min/month.
~1 two-job push deploy ~= ~2 min/run.
~1 Copilot dynamic review run can be ~8-15 min/run.

Using AI for work news

Sat, 14 Feb 2026 14:32:16 +0800

This week, Namit and I met a Straive team that operates from a client office. One team member asked:

I believe that we are doing wonders out here, but we are closed from what is happening in the rest our organization.

I want team members to interact with others to see what interesting things they have delivered and where we can implement that solution.

Could we have sessions, maybe a monthly newsletter, showing what innovations we’re working on? This would really keep us engaged with the tech that is going outside of the work that we do.

A good point. This reminded me of an experiment last month.

Google Workspace Studio lets you create automations. For example, here’s a flow I set up to create a weekly newsletter about client news:

Step 1: On a schedule. Every Monday at 8am…
Step 2: Ask Gemini. Scan my Google Workspace for the latest client related news and organize it as an email newsletter. Also find the latest news about these clients from the web and put it together seamlessly. Write it in a nice Malcolm Gladwell style narrative.
Step 3: Ask Gemini. Just write today’s date in YYYY-MM-DD format. Nothing else
Step 4: Draft an email.
- To: me.
- Subject: Weekly news [Step 3: Content created by Gemini]
- Message: [Step 2: Content created by Gemini]
Step 5: Create a doc.
- New doc name: Weekly news [Step 3: Content created by Gemini]
- Content to add: [Step 2: Content created by Gemini]
- Location for new doc: Weekly news

Now, I get to see a nicely formatted newsletter every Monday morning about new client activity, added to a Weekly news Google Drive folder accessible to Straive.

For example, I learnt that:

One client blocked coding agents (Codex, Claude Code, etc) which has slowed down our team.
Another client needs to modify their API Gateway + Lambda infrastructure to handle long-running agents without exceeding API timeouts
Yet others requested omni-channel convergence optimization, price sensitivity modeling, payments infrastructure setup, and much more.

I always wished we had an “internal reporter” at Gramener, going around, interviewing teams, and writing interesting stories about what’s happening.

I did not expect I’d be able to hire Malcolm Gladwell (or anyone I want) as our internal reporter!

Is all AI content slop?

Wed, 05 Nov 2025 00:00:00 +0000

Is all AI content slop?

I asked Claude to:

Analyze this thread. Then explain it like a Malcolm Gladwell New Yorker article. https://news.ycombinator.com/item?id=45820872

It gave me a beautiful, engaging and insightful essay about a 300+ message debate about AI vs humans on routine tasks. https://claude.ai/share/60c5810f-5c81-4970-8026-a24bf89c3392

Is this slop?

One phrase stood out:

There’s an irony here that the commenter doesn’t quite state but implies beautifully: we’ve spent so long celebrating automation because humans are imperfect that we’ve forgotten we also value humans because they’re imperfect.

Note: it’s something “the commenter doesn’t quite state” and yet Claude inferred it. “Beautifully”.

Is this slop?

Another paper, The Hidden Curriculum, is quite readable as papers go. https://mgcuna.github.io/website/JMP_latest.pdf

But look at how it begins:

Despite dramatically expanded access to selective U.S. colleges, first-generation students persistently trail continuing-generation peers in GPA, internship attainment, and early-career outcomes.

Here’s how Claude’s Malcolm Gladwell essay begins: https://claude.ai/share/81d7ff3c-db89-4c9f-8423-82358fb660a3

When Sara Martinez arrived at UC Berkeley as a freshman, she did everything right. She showed up to every class. She completed every reading assignment. She took detailed notes. She studied harder than most of her peers. By every visible measure, she was the model student.

I read every word of the essay. The paper has value, but the essay has accessibility.

Is this slop?

History repeats this pattern.

The printing press displaced calligraphers.
But typography emerged as an art.
Film displaced theater but gave us montage, screenplay, and editing.
CAD displaced drafting but birthed parametric design.
3D printers are displacing workshops, creating toolpath sculpture and generative objects.

Maybe AI slop is the start of new arts?

When to choose AI over humans

Tue, 28 Oct 2025 04:37:14 +0000

I charted the OpenAI GDPVal paper with industry compensation as the size and AI augmentation as color. Big green areas are we’re paying people where AI does better.

Click here to see the interactive visualization.

Clicking to see some actual tasks compared.

I use this to check whom to ask advice: AI or professional.

AI beats Personal Financial Advisors ~64% of the time. So I invested half my money using ChatGPT’s recommendation. (UTI Nifty 50, if you’re curious.)

Accountants beat AI 76% of the time. So my tax returns are still filed by Ventura Pranas.

AI beats Government - Administrative Services Managers 62% of the time. I haven’t figured out how to bypass them yet. Nor customer service representatives.

Overall, AI beats most managers and clerks, not industrial engineers and pharmacists.

Here’s my current thought where I wouldn’t hire AI if a high portion of their work

Has legal liability (e.g. pharmacist/judge vs shop attendant/lawyer)
Is subjective (e.g. perfumer/auction appraiser vs lab chemist/insurance appraiser)
Needs rapid contextual decisions (e.g. detective/fireman/ER vs parking enforcer)

But this apart, if they charged half, would their demand double? If so, even with AI, they’ll have more demand.

Vibe-Scraping: Write outcomes, not scrapers

Tue, 30 Sep 2025 13:18:20 +0000

There hasn’t been a box-office explosion like Dangal in the history of Bollywood. CPI inflation-adjusted to 2024, it is the only film in the ₹3,000 Cr club.

3 Idiots (2009) is the first member of the ₹1,000 Cr club (2024-inflation-adjusted). The hot streak was 2013-2017: each year, a film crossed that bar: Dhoom 3, PK, Bajrangi Bhaijaan, Dangal, Secret Superstar.

Since then, we never saw such a release except in 2023 (Jawan, Pathan).

But this story isn’t about the box-office drought. It’s about vibe-scraping.

To scrape the 1k Cr club data, here’s what my process would be in:

2008-2015. Requests + BeautifulSoup in Python. Takes ~1 day.
2015-2024. Puppeteer. Still takes ~1 day.
2025-Today. AI writes code. ~2 hours/site. 4x faster.
Today-???. Coding agents scrape directly. ~30 min/site. 16 times faster.

I passed Codex CLI (roughly) this prompt:

Write scrape.py to scrape the highest-grossing films from Wikipedia’s list of Hindi films: 1994 to 2024.
Read pages as required. Save results as CSV.

Here’s what it did.

Read the Wikipedia lists starting 1994
Failed on missing BeautifulSoup dependency. I allowed install.
Discovered that tables below “grossing” or “box office” headings are relevant.
Noticed “Rank” became “No” in the column header since 2016 and adapted.
Fixed all errors and generated a clean CSV.

That’s… incredible!

The code was a by-product. The prompt and evals matter. When sites change, agents can fix the code. Or better agents will rewrite it.

I guess I’ll call this vibe-scraping.

I also asked Claude Code vibe-code a data story. Here are the links:

This afternoon, in front of a client, I spoke with Codex:

Write a scrape.py that searches Dutch fashion merchant websites and lists what delivery carriers they use.

~10 minutes later, we had a table. The client spotted one error that I couldn’t have. Expert review still matters. But what’s redundant is my 20-year scraping experience!

If agents can scrape on the fly, what new questions do we ask?

The 10 sites I visit most often

Tue, 23 Sep 2025 12:39:29 +0000

Here are the 10 most frequent sites I use (based on Microsoft Edge’s home bar):

ChatGPT. It replaced Google as my default knowledge source. I prefer it over Gemini, Claude, etc. because the app has good features (memory from past conversations, code interpreter, strong voice mode, remote MCP on web app, etc.) The OpenAI models have pros and cons, but the app features are ahead of competition.
Gmail. It’s my work inbox. Interestingly, I check it more (and respond faster) than social channels (e.g. WhatsApp, Google Chat, LinkedIn). It also doubles up as my task queue.
Prime Video. I mainly watch The Mentalist. Totally love Patrick Jane!
Google AI Studio. Mostly for transcription. It’s better than Gemini on UI, ability to handle uploads, file-formats, etc. It’s also free (though the data is used for training.)
My Talks page. I give 1-1.5 talks a week, mostly on AI/ML topics. I use Marp to render Markdown slides and publish it here.
Google Chat. It’s Straive’s social channel. I can’t use it from my phone, so I log in only if I need to check if I missed something.
LinkedIn. It’s where I post by default. I don’t use it for networking and only connect with people I’ve met and know well.
YouTube. Mostly for movie clips over dinner. I occasionally watch educational content.
Playground. LLM Foundry is Straive’s internal gateway to multiple model APIs (I built it). I use it to experiment with models, grab API keys, and demo LLMs to clients.
Squoosh. I compress every image, every time. Mostly into WebP (hands-down the best format today), typically lossless with an 8-color palette, or lossy at ~0-10% quality for photos.

That’s my current home row. It will change. But the reasons probably won’t: fast, simple, automatable, and practical (for me).

Pipes May Be All You Need

Sat, 05 Jul 2025 11:49:24 +0000

Switching to a Linux machine has advantages. My thinking’s moving from apps to pipes.

I wanted a spaced repetition app to remind me quotes from my notes. I began by writing a prompt for Claude Code:

Write a program that I can run like uv run recall.py --files 10 --lines 200 --model gpt-4.1-mini [PATHS...] that suggests points from my notes to recall. It should

--files 10: Pick the 10 latest files from the PATHs (defaulting to ~/Dropbox/notes)
--lines 200: Take the top 200 lines (which usually have the latest information)
--model gpt-4.1-mini: Pass it to this model and ask it to summarize points to recall

Then I realized that I could do this on the CLI:

find ~/Dropbox/notes -type f -printf "%T@ %p\n" \   # Print the timestamp and file path
  | sort -nr \                                      # Sort latest first
  | head -n 10 \                                    # Pick the 10 latest files
  | cut -d" " -f2- \                                # Drop the timestamp, just get paths
  | xargs -I {} head -n 200 "{}" \                  # Get the first 200 lines
  | llm -s "List 3 points to remember"              # Ask an LLM to share points to recall

This works well!

Tue, 01 Jul 2025 04:07:38 +0000

I catch up on long WhatsApp group discussions as podcasts.

The quick way is to scroll on WhatsApp Web, select all, paste into NotebookLM, and create the podcast.

Mine is a bit more complicated. Here’s an example:

Use a bookmarklet to scrape the messages https://tools.s-anand.net/whatsappscraper/
Generate a 2-person script https://github.com/sanand0/generative-ai-group/blob/main/config.toml
Have gpt-4o-mini-tts convert each line using a different voice https://www.openai.fm/
Combine using ffmpeg https://ffmpeg.org/
Publish on GitHub Releases https://github.com/sanand0/generative-ai-group/releases/tag/main

I run this every week. So far, it’s proved quite enlightening.

Mon, 04 Mar 2024 12:07:15 +0000

A friend told me today that using #ChatGPT will make humanity dumber.

“Probably. Like always, #Calvin has the best response I know to that. “I propose we leave math to the machines and go play outside.” 🙂

Command line alarm

Sun, 24 Jan 2010 04:37:24 +0000

When I’m in front of my laptop, I usually forget the world around. Sadly, the world around has important things that need to get done on time. Like eating medicines, turning off the washing machine or the hob, etc.

The one thing I’ve been lacking on my machine was a simple alarm system. I’d like to set an alarm to remind me to do something in 5 minutes, for example. And it should be dead simple to set up.

After hunting around a fair for freeware to do this, I’ve finally settled on writing this tiny piece of Visual Basic code.

Set WshShell = CreateObject("WScript.Shell")
If WScript.Arguments.length < 2 Then
  WScript.Echo "Usage: alarm <time-in-minutes> <message>"
Else
  WScript.Sleep WScript.Arguments.Item(0) * 60 * 1000
  msg = ""
  For i = 1 to WScript.Arguments.Count - 1
      msg = msg + WScript.Arguments.Item(i) + " "
  Next
  WshShell.Popup msg, -1, "Alarm", 64
End If

I’ve saved this as “alarm.vbs” somewhere in my path. When I need to set an alarm, I just type

alarm 5 Turn off the hob

This pops up a window in 5 minutes with the alarm:

This turned out to be a life-saver yesterday. I had to catch a flight at the Bangalore airport, and traffic is notoriously bad. To be on the safe side, I set up the following:

alarm 25 Catch the flight
alarm 30 You really need to go now
alarm 35 You've missed the flight

Turned out to be a wise thing. I ignored the first alarm. On the second, I said “OK, OK, just 1 minute…” and it really took the third alarm to get me going. Just barely made it to the flight.

Comments

Abhijit Sen 10 Feb 2010 12:07 am: Anand. is it required to have a VB client to run this VB script?
408wij 26 Jan 2010 10:28 pm: For us uninformed Americans, hob=stove, right?
Sumit Dhar 25 Jan 2010 1:14 am: Hey Anand, Was it a flight for UK? If you are gonna be back in Bangalore, let us meet up sometime. Cheers, Sumit
Abhijit Sen 12 Feb 2010 1:45 am: Hey Anand. I opened a notepad, copy pasted the above code with the specific number of minutes and message, saved the notepad as Alarm.vbs on my desktop. Nothing happened after the given number of minutes. What am I missing?
S Anand 29 Jan 2010 8:37 am: But isn’t an annoyance the whole point of an alarm?
Anup 28 Jan 2010 12:35 pm: Nice and useful lines. Any clue for sending the annoying window to background…
S Anand 10 Feb 2010 4:49 pm: No, not at all. This comes built in with Windows. Absolutely nothing else required.
Ravi 28 Feb 2010 6:26 pm: You can use gadgets in Vista for. I searched and found one, free.
Ravi 28 Feb 2010 6:30 pm: http://www.puttee.de/ I tried this Anand, works like a charm..
Ravi 14 Feb 2010 7:11 am: @Abhijit - You dont have to specify the minutes and message in the .vbs file. Just save it as it is in a folder. You will have to write the command from the same directory on the DOS Prompt. The command “Alarm x message” takes the minutes and the message as the input and displays them when it runs Alarm.vbs I made this change to the script since I got error in executing the original one. CHANGED “If WScript.Arguments.length < 2 Then” TO “If WScript.Arguments.length < 2 Then” (Message can only be without spaces with this change)
Ramki 19 Jun 2010 5:01 am: I am using WinXP and could not get the script to work with the following line and had to change it as shown below after getting clue from Ravi’s comment: CHANGED “If WScript.Arguments.length < 2 Then” TO “If WScript.Arguments.length < 2 Then”

Automating PowerPoint with Python

Thu, 02 Apr 2009 20:22:36 +0000

Writing a program to draw or change slides is sometimes easier than doing it manually. To change all fonts on a presentation to Arial, for example, you’d write this Visual Basic macro:

Sub Arial()
    For Each Slide In ActivePresentation.Slides
        For Each Shape In Slide.Shapes
            Shape.TextFrame.TextRange.Font.Name = "Arial"
        Next
    Next
End Sub

If you didn’t like Visual Basic, though, you could write the same thing in Python:

import win32com.client, sys

Application = win32com.client.Dispatch("PowerPoint.Application")
Application.Visible = True
Presentation = Application.Presentations.Open(sys.argv[1])
for Slide in Presentation.Slides:
    for Shape in Slide.Shapes:
        Shape.TextFrame.TextRange.Font.Name = "Arial"
Presentation.Save()
Application.Quit()

Save this as arial.py and type “arial.py some.ppt” to convert some.ppt into Arial.

Let’s break that down a bit. import win32com.client lets you interact with Windows using COM. You need ActivePython to do this. Now you can launch PowerPoint with

Application = win32com.client.Dispatch("PowerPoint.Application")

The Application object you get here is the same Application object you’d use in Visual Basic. That’s pretty powerful. What that means is, to a good extent, you can copy and paste Visual Basic code into Python and expect it to work with minor tweaks for language syntax, just please make sure to learn how to update python before doing anything else.

So let’s try to do something with this. First, let’s open PowerPoint and add a blank slide.

# Open PowerPoint
Application = win32com.client.Dispatch("PowerPoint.Application")
# Create new presentation
Presentation = Application.Presentations.Add()
# Add a blank slide
Slide = Presentation.Slides.Add(1, 12)

That 12 is the code for a blank slide. In Visual Basic, you’d instead say:

Slide = Presentation.Slides.Add(1, ppLayoutBlank)

To do this in Python, run Python/Lib/site-packages/win32com/client/makepy.py and pick “Microsoft Office 12.0 Object Library” and “Microsoft PowerPoint 12.0 Object Library”. (If you have a version of Office other than 12.0, pick your version.)

This creates two Python files. I rename these files as MSO.py and MSPPT.py and do this:

import MSO, MSPPT

g = globals()
for c in dir(MSO.constants):
    g[c] = getattr(MSO.constants, c)
for c in dir(MSPPT.constants):
    g[c] = getattr(MSPPT.constants, c)

This makes constants like ppLayoutBlank, msoShapeRectangle, etc. available. So now I can create a blank slide and add a rectangle Python just like in Visual Basic:

Slide = Presentation.Slides.Add(1, ppLayoutBlank)
Slide.Shapes.AddShape(msoShapeRectangle, 100, 100, 200, 200)

Incidentally, the dimensions are in points (1/72"). Since the default presentation is 10" x 7.5" the size of each page is 720 x 540.

Let’s do something that you’d have trouble doing manually in PowerPoint: a Treemap. The Guardian’s data store kindly makes available the top 50 banks by assets that we’ll use for this example. Our target output is a simple Treemap visualisation.

We’ll start by creating a blank slide. The code is as before.

import win32com.client, MSO, MSPPT

g = globals()
for c in dir(MSO.constants):
    g[c] = getattr(MSO.constants, c)
for c in dir(MSPPT.constants):
    g[c] = getattr(MSPPT.constants, c)

Application = win32com.client.Dispatch("PowerPoint.Application")
Application.Visible = True
Presentation = Application.Presentations.Add()
Slide = Presentation.Slides.Add(1, ppLayoutBlank)

Now let’s import data from The Guardian. The spreadsheet is available at http://spreadsheets.google.com/pub?key=phNtm3LmDZEOoyu8eDzdSXw and we can get just the banks and assets as a CSV file by adding &output=csv&range=B2:C51 (via OUseful.Info).

import urllib2, csv

url = "http://spreadsheets.google.com/pub?key=phNtm3LmDZEOoyu8eDzdSXw&output=csv&range=B2:C51"
# Open the URL using a CSV reader
reader = csv.reader(urllib2.urlopen(url))
# Convert the CSV into a list of (asset-size, bank-name) tuples
data = list((int(s.replace(",", "")), b.decode("utf8")) for b, s in reader)

I created a simple Treemap class based on the squarified algorithm — you can play with the source code. This Treemap class can be fed the data in the format we have, and a draw function. The draw function takes (x, y, width, height, data_item) as parameters, where data_item is a row in the data list that we pass to it.

def draw(x, y, w, h, n):
    # Draw the box
    shape = Slide.Shapes.AddShape(msoShapeRectangle, x, y, w, h)
    # Add text: bank name (asset size in millions)
    shape.TextFrame.TextRange.Text = n[1] + " (" + str(int(n[0] / 1000 + 500)) + "M)"
    # Reduce left and right margins
    shape.TextFrame.MarginLeft = shape.TextFrame.MarginRight = 0
    # Use 12pt font
    shape.TextFrame.TextRange.Font.Size = 12


from Treemap import Treemap

# 720pt x 540pt is the size of the slide.
Treemap(720, 540, data, draw)

Try running the source code. You should have a single slide in PowerPoint like this.

The beauty of using PowerPoint as the output format is that converting this into a cushioned Treemap with gradients like below (or changing colours, for that matter), is a simple interactive process.

Comments

Catalin 5 Apr 2009 8:01 am: Very interesting article. I think python may be the best solution on programming . Do you worked with python and openoffice ?
Michele 5 Apr 2009 10:35 am: Very very interesting. The treemap integration is absolutely phenomenal.
Greg Wilson 3 Apr 2009 9:46 pm: Thanks very much for posting this — much appreciated. One question: how do you find documentation on the PowerPoint API? Is it just the same as the VB (with appropriate substitutions)? Or…?
S Anand 5 Apr 2009 4:15 pm: Never worked with OpenOffice, I’m afraid. If I don’t use Microsoft Office, my next preference would be Google’s online offerings, I guess. But either way, Python’s an elegant choice.
S Anand 4 Apr 2009 6:59 am: It’s the same as with VB. I just press Shift-F1 on VB in PowerPoint and search for the keywords. Usually, it’s quite intuitive.
crankycoder.com » Links for May 7th 7 May 2009 5:06 pm (pingback): […] Automating PowerPoint with Python - […]
Raj 24 May 2009 7:03 pm: Its all Intresting Anand
Round buttons with Python Image Library | s-anand.net 11 Jun 2009 10:41 am (pingback): […] it using PowerPoint via Python and export as a PNG.So we make a curved box, put in the appropriate gradients and borders, and […]
Python and Powerpoint « Financial Python 8 Aug 2009 8:48 pm (pingback): […] I’d almost forgotten since I’ve been using a Mac for a while. Anyway, I ran across this short tutorial on using COM and Python to automate the creation of powerpoint slides. I used COM with excel a […]
Stef 17 Jul 2010 7:41 pm: Hi, I have created a program based on the example you showed on this page (creation of ppt slides with txt and images based on info in a CSV file) It works fine on my PC but when I compile it with py2exe, the prog works on my computer but not on another. Any idea of what I should do so that someone who didn’t install ActivePython can use the prog? Stef
Layne Seely 2 Feb 2011 5:13 pm: I can follow the examples above to open a presentation, however, can you open the presentation to a particular slide?
tom tan 21 May 2012 1:35 pm: Great writing. Helps me to get the hang of office automation with python in general. Thanks.
Lolla 2 Dec 2013 12:22 pm: How to make this work with arabic text?
Chad Kijewski 25 Jun 2013 10:40 pm: Beautiful, thank you for the quick but effective tutorial. I never thought that I’d ever be as excited about PowerPoint as I am, but as usual Python can make anything fun.
Roger 7 Aug 2013 3:02 pm: Just a heads up, you can add notes via the following command: notes_range = slide.NotesPage.Shapes(2) notes_range.TextFrame.TextRange.Text = snote And to use a solid color for a background: def RGB(r,g,b): return r*256**2 + g*256 + b slide_master.Background.Fill.ForeColor.RGB = RGB(256,256,256)
blerb 23 Apr 2014 9:12 pm: My wife needs a way to easily export all comments (comments, not notes) from a powerpoint, which is not a native feature. I was looking at python-pptx module but it only supports 2.6, 2.7. I don’t want to downgrade from 3. Does win32com have a python3 version and could it be used for this?
Zach 20 Aug 2015 4:59 pm: I am very much a beginner with coding in general but am trying to follow along here and am confused on what I am sure is a very basic issue, so bear with me. At the point where you say, “To do this in Python, run Python/Lib/site-packages/win32com/client/makepy.py and pick “Microsoft Office 12.0 Object Library” and “Microsoft PowerPoint 12.0 Object Library”. (If you have a version of Office other than 12.0, pick your version.)” I am unable to run this as there is no win32com directory. I am able to import and utilize the win32com.client library just fine (It pulls up PowerPoint and creates slides) but getting the whole MSO and MSPPT part setup is confusing me. Any help or advice is appreciated, thanks!
Vasanth 21 Jul 2016 10:09 am: Hi Anand, I am unable to import MSO & MSPPT. I renamed py files created in gen_py. I am using 2.7.12 64 bit. ImportError: No module named MSO Please suggest ?
Afiz 30 Jan 2016 10:17 am: Hi Anand, Thanks for this wonderful tutorial. I tried to run makepy.py file as you mentioned above, but I didn’t see any files getting created after running the file. Could you please tell me , what I might be missing?? Thanks again.
Sruti 24 Jul 2017 8:23 am: Hi Anand, I’m facing an issue similar to Vasanth’s I’m not able to find “Microsoft PowerPoint 12.0 Object Library”. Also I get the error shown below: for c in dir(PSO.constants): g[c] = getattr(PSO.constants, c) AttributeError: ‘module’ object has no attribute ‘constants’ Any help here is appreciated. Mine is a 64 bit system using Python 2.7.13 version
Balu 6 Mar 2016 12:22 pm: Hi Anand, How to add buttons in powerpoint 2013 ribbon through python? Thanks for the support.
scratch 16 Jan 2017 2:02 am: your python is very good ,I benifit from it ,thanks. I am a chinese,my english is not good ,sorry.
Mj 10 Mar 2018 12:37 am: Why not try www.pptxbuilder.com. Upload your data, customize your data in visual form, then download everything in a powerpoint presentation.
Sailakshmi 18 Jul 2017 6:39 am: Is there any method by which I could automate slideshow using python?

Lazy bargain hunting

Fri, 04 Jan 2008 12:00:00 +0000

I’m thinking of buying a digital keyboard with touch sensitive keys and MIDI support. (The one other thing that I thought off – a pitch bend – puts the keyboards out of my budget.)

I’d like a good deal. (Who doesn’t?) But I don’t like to spend time searching for one. (Who does?)

So here’s the plan.

Firstly, I’ll restrict my search to Amazon.co.uk. For electronics items, I haven’t found anyone consistently cheaper. Tesco has some pretty low prices, but not the range. eBuyer is pretty good, but not often enough. Google Products is the only other one that gets me consistent lower prices, but I’ve had my credit card identity stolen once before while shopping online, so I’d rather not pick any random seller listed on Google.

Amazon has a secret discount. You can search for electronics items with 30% off or more. And then you can narrow it down to Sound & Vision > Musical Instruments > MIDI Keyboards. Further cap a 100 - 200 GBP restriction. That leaves us with one product:

While that matches my criteria, I’m in no hurry and can wait for more offers to come up. But I don’t want to keep checking this page every day. So, RSS to the rescue. You probably think I can’t get enough of RSS feeds. And you’d be right. The thing is, as an attention mechanism, it is incredibly powerful, and I never cease to be amazed that the things it lets me do.

Using my XPath checker and a bit of trial and error, I figured all product links link to “amazon.co.uk/dp/…” with a <span> inside. So this XPath gets all the links:

//a[contains(@href,'/dp/')][span]

And I made an RSS feed out of that using my XPath server and subscribed to it on Google Reader.

Combining a bunch of such searches, I have a shopping folder on Google Reader has all the items I’m searching for. Now that’s lazy bargain hunting.

Which is all very fine. But given that I’m buying a car in a hurry right now, and I’m not doing any bargain hunting, it’s a classic case of being penny-wise and pound-foolish. Sigh…

Comments

Oracle 4 Jan 2008 12:00 pm: Alternate way is to set-up a google alert for the specific item in the chosen sites. Do you see any disadvantages with that?
Rajesh 11 Nov 2008 7:58 am: Never had someone’s personal website kept me so drawn in. You are smart and very articulate (u probably know this already) and it shows in each intersting and very often informative article you write. you can even try writing columns in magazines, websites or papers. i’ve learnt a lot from your site already and haven’t finished reading them all. i also see you play the keyboard and maybe interested in midis. i’ve sequenced some midis. u can can find them at

http://rajesh.annamalaisamy.googlepages.com/rajeshmidis

if u’re interested. The best tamil song midis in my opinion are done by kishmu. His midi works can be found at

www.geocities.com/kishmu/

Eagerly anticipating your next article.

Regards

Rajesh

Managing feed overload

Tue, 18 Dec 2007 12:00:00 +0000

I have only two problems with Google Reader.

The first is that it doesn’t support authenticated feeds. Ideally, I’d have liked to have a single reading list that combines my e-mail with newsfeeds. GMail offers RSS feeds of your e-mail. But the feeds require authentication (obviously) and Google Reader doesn’t support that right now. (So I usually don’t read e-mail :-)

The second is that it’s tough to manage large feeds. It’s a personal quirk, really. I like to read all entries. If there are 100, I read all 100. If there are 1000, I struggle but read all 1000. I’m too scared to “Mark all read” because there are some sources that I don’t want to miss.

The 80-20 rule is at work here. There are some prolific writers (like Scoble) who write many entries a day. There are some prolific sources (del.icio.us or digg). I can’t keep up with such writers / sources. I don’t particularly want to. If I missed one day of del.icio.us popular items, I’ll just read the next day’s.

With Google Reader, that makes me uneasy. I don’t like having 200 unread items. I don’t like to mark them all read.

In such cases, popurls’ approach is useful. It shows the top 15-30 entries of the popular sites as a snapshot. Any time you’re short of things to read, visit this. If you’re busy, don’t.

Using Google’s AJAX Feed API, it’s quite trivial to build your own feed reader. So I cloned popurls’ layout into my bookmarks page, and put in feeds that I like.

You can customise my bookmarks page to use your own feeds. Save the page, open it in Notepad, and look for existing feeds. They’ll look like this:

"hacker news" : {
    entries:15,
    url:"http://news.ycombinator.com/rss"
},

The first line (“hacker news”) is the title of the feed. You can call it what you want. Set entries to the number of feed entries you want to show. Set url to the RSS feed URL. Save it, and you have your own feed reader. (If you want to put it up on your site, you may want to change the Google API key.)

Try it! Just save this page and edit the feeds.

Here, I must point out three things about Google’s AJAX Feed API that make it extremely powerful.

The obvious is that is allows Javascript access to RSS in a very easy way. That makes it very easy to integrate with any web page.

The second is subtler – it includes historical entries. So even if an RSS feed had only 10 entries, I could pick up the last 100 or 1,000, as long as Google has known about the feed for long enough. This is what makes Google Reader more of a platform rather than a simple feed reader application. Google Reader is a feed archiver – not just a feed reader.

The third (I’m a bit crazy here) is that you can use it to schedule tasks. Google’s FeedFetcher refreshes feeds every 3 hours or so. If you want to do something every three hours (or some multiple thereof – say every 24 hours), you can write a program that does what you want, and subscribe to it’s output as a feed.

You may notice that I have a Referrers to s-anand.net on my bookmarks page. These are the sites that someone clicked on to visit my site. I have a PHP application that searches my access log for external referrers. Rather than visit that page every time, I just made an RSS feed out of it and subscribed to it. Every three hours or so, Google accesses the URL. I search my access.log and archives the latest results. So, even after my access.log is trimmed by the server, I have it all on Google Reader to catch up with later.

Since Google doesn’t forget to ping, I can schedule some fairly time-critical processes this way. For instance, if I wanted to download each Dilbert strip, every day as it arrives, I can create an application that downloads the file and returns a feed entry. Now, I don’t need to remember to run it every day! I just subscribe to the application on Google Reader, and Google will remind the application to run every 3 hours. (I know – I could use a crontab, but somehow, I like this.) Plus I would get the Dilbert strip on my feed reader as a bonus.

Update: Google has just released PartnerBar, which is a more flexible way of viewing a snapshot of feeds.

RSS feeds in Excel

Thu, 03 May 2007 12:00:00 +0000

The technique of Web lookups in Excel I described yesterday is very versatile. I will be running through some of the practical uses it can be put to over the next few days

TO generalise things beyond just getting the Amazon price, I created a user-defined function called XPATH. It takes two parameters:

URL of the XML feed to read
Search XPath list string (separated by spaces)

This function can be used to extract information out of any XML file on the Web and get it out as a table. For example, if you wanted to watch the Top 10 movies on the IMDb Top 250, and were looking for torrents, an RSS feed is available from mininova. The URL http://www.mininova.org/rss/movie_name/4 gives you an RSS file matching all movies with “movie_name”. From this, we need to extract the and <item><link> elements. That’s represented by “//item title link” on my search string.</p> <p><a href="https://www.s-anand.net/blog/assets/flickr-mininova-rss-feed-in-excel_482789516_o-png.webp"></a></p> <p>The formula becomes <code>XPath2( "http://www.mininova.org/rss/"&A2&"/4", "//item title link")</code>. The result is a 2-dimensional array returning individual items in rows, and the columns are title and link. Pulling it all together, you can get the sheet above.</p> <p>All of this could be done using a command-line program. Excel has one huge advantage though. It’s one of the most powerful user-interfaces. Increasingly, I’m beginning to rely on just two user interfaces for almost any task. One is the browser, and the other is Excel. With Excel, I could have a sheet that has my <a href="https://www.s-anand.net/blog/wishlist-for-movies/">movie wishlist</a> (which changes often), and add check to see if the torrent exists. Every time I add a bunch of movies to the wishlist, it’s just a matter of copying the formula down. No need to visit a torrent search engine and typing each movie in, one by one.</p> <p>Another example. Someone suggests 10 movies to watch. I’d rather watch the ones with a higher IMDb rating. Again, enter the Web lookup. Type in the movie names. Use a function like this to look up the rating on IMDb, and sort by the rating.</p> <p>The possibilities are endless.</p> <hr> <h2 id="comments">Comments</h2>  <ul> <li><strong>Isit?</strong> <em>3 May 2007 12:00 pm</em>: Is it possible to have the feeds update cumulative so the old feeds dont get replaced in excel?</li> <li><strong>Alex</strong> <em>3 May 2007 12:00 pm</em>: Hi, I have an Excel spreadsheet with URLs of move titles on IMDB, and I would like to retrieve the movie rating. I’ve read your tutorials, and this one comes closest to what I need. However I still cannot figure out what needs to be done. It looks like you have this problem solved. If so, can you possibly share your solution with me? Thank you, Alex</li> <li><strong>Kishan</strong> <em>3 May 2007 12:00 pm</em>: I came here searching for the other way round. That is to publish an RSS feed of what I have in Xcel! Thanks Anyways</li> <li><strong>venkat</strong> <em>15 Oct 2010 4:09 pm</em>: Anand Can you provide the xpath function?, I need to read a rss feed into excel, and i want only some columns of data, i would appreciate if you could send the xpath function to my email id Thanks venkat</li> <li><strong><a href="http://www.light-sensors.com">Light Sensors</a></strong> <em>2 Dec 2010 7:08 pm</em>: movie ratings really depend on how cool the movie is, i usually rate movies depending on the story line `-;</li> <li><strong>rt</strong> <em>27 Jun 2013 5:41 pm</em>: Hi, nice job ! can you share with me your xpath2 (i tried your other one without succes on amazon) ?Thanks, R</li> </ul>  </article> <article> <h1>Wishlist for movies</h1> <p>Mon, 18 Dec 2006 12:00:00 +0000</p> <p>I watch a lot of movies. Over the last year, I’ve watched over 250 movies (and read 50 books, but that’s another story). Other than making time to watch movies, <strong>my biggest problem is figuring out what to watch next</strong>.</p> <p>The <a href="http://www.imdb.com/chart/top">IMDb top 250</a> is a good guideline, and I’m running my way down the list. <a href="http://twofifty.org">Twofifty.org</a> has been useful to track what I’ve seen as well. But I have interests outside of the IMDb Top 250, and <strong>I need a way of tracking these</strong>.</p> <p>I started a “to watch” Excel sheet. But there were three problems:</p> <ol> <li>I would forget what the movie was about</li> <li>I wouldn’t know what to watch next</li> <li>I’d have to manually delete movies I’d seen</li> </ol> <p>So <strong>I wrote a program to do this automatically</strong> and create a movie wishlist. I just write the names of movies I want to see, and the program finds these movies on IMDb, gets their ratings and links them. It also goes through my “seen” movies and strikes out stuff I’ve seen.</p> <p>So I can just click on the movie to see what it’s about. I can sort by rating or votes to decide what to see next. And I don’t have to manually strike out anything.</p> <p>These are the movies I want to see.</p> <h2 id="imdb-top-250">IMDb Top 250</h2> <blockquote> <p>Movies from the IMDb Top 250. You can track movies you’ve seen on this list at 250.s-anand.net.</p> </blockquote> <table> <thead> <tr> <th>Rating</th> <th>Votes</th> <th>Year</th> <th>Name</th> </tr> </thead> <tbody> <tr> <td>9.1</td> <td>184462</td> <td>1972</td> <td><a href="http://www.imdb.com/title/tt0068646/">The Godfather</a></td> </tr> <tr> <td>9.1</td> <td>222355</td> <td>1994</td> <td><a href="http://www.imdb.com/title/tt0111161/">The Shawshank Redemption</a></td> </tr> <tr> <td>8.9</td> <td>104446</td> <td>1974</td> <td><a href="http://www.imdb.com/title/tt0071562/">The Godfather: Part II</a></td> </tr> <tr> <td>8.8</td> <td>167348</td> <td>2003</td> <td><a href="http://www.imdb.com/title/tt0167260/">The Lord of the Rings: The Return of the King</a></td> </tr> <tr> <td>8.8</td> <td>51126</td> <td>1966</td> <td><a href="http://www.imdb.com/title/tt0060196/">Buono, il brutto, il cattivo, Il</a></td> </tr> <tr> <td>8.8</td> <td>89621</td> <td>1942</td> <td><a href="http://www.imdb.com/title/tt0034583/">Casablanca</a></td> </tr> <tr> <td>8.8</td> <td>133063</td> <td>1993</td> <td><a href="http://www.imdb.com/title/tt0108052/">Schindler’s List</a></td> </tr> <tr> <td>8.7</td> <td>189910</td> <td>1994</td> <td><a href="http://www.imdb.com/title/tt0110912/">Pulp Fiction</a></td> </tr> <tr> <td>8.7</td> <td>48352</td> <td>1954</td> <td><a href="http://www.imdb.com/title/tt0047478/">Shichinin no samurai</a></td> </tr> <tr> <td>8.7</td> <td>142585</td> <td>1980</td> <td><a href="http://www.imdb.com/title/tt0080684/">Star Wars: Episode V - The Empire Strikes Back</a></td> </tr> <tr> <td>8.7</td> <td>179427</td> <td>1977</td> <td><a href="http://www.imdb.com/title/tt0076759/">Star Wars</a></td> </tr> <tr> <td>8.7</td> <td>96495</td> <td>1975</td> <td><a href="http://www.imdb.com/title/tt0073486/">One Flew Over the Cuckoo’s Nest</a></td> </tr> <tr> <td>8.7</td> <td>56917</td> <td>1954</td> <td><a href="http://www.imdb.com/title/tt0047396/">Rear Window</a></td> </tr> <tr> <td>8.7</td> <td>210181</td> <td>2001</td> <td><a href="http://www.imdb.com/title/tt0120737/">The Lord of the Rings: The Fellowship of the Ring</a></td> </tr> <tr> <td>8.6</td> <td>42912</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050083/">12 Angry Men</a></td> </tr> <tr> <td>8.6</td> <td>122980</td> <td>1981</td> <td><a href="http://www.imdb.com/title/tt0082971/">Raiders of the Lost Ark</a></td> </tr> <tr> <td>8.6</td> <td>139737</td> <td>1995</td> <td><a href="http://www.imdb.com/title/tt0114814/">The Usual Suspects</a></td> </tr> <tr> <td>8.6</td> <td>53478</td> <td>2002</td> <td><a href="http://www.imdb.com/title/tt0317248/">Cidade de Deus</a></td> </tr> <tr> <td>8.6</td> <td>85885</td> <td>1964</td> <td><a href="http://www.imdb.com/title/tt0057012/">Dr. Strangelove or: How I Learned to Stop Worrying and Love the Bomb</a></td> </tr> <tr> <td>8.6</td> <td>165925</td> <td>2002</td> <td><a href="http://www.imdb.com/title/tt0167261/">The Lord of the Rings: The Two Towers</a></td> </tr> <tr> <td>8.6</td> <td>72218</td> <td>1960</td> <td><a href="http://www.imdb.com/title/tt0054215/">Psycho</a></td> </tr> <tr> <td>8.6</td> <td>97798</td> <td>1990</td> <td><a href="http://www.imdb.com/title/tt0099685/">Goodfellas</a></td> </tr> <tr> <td>8.6</td> <td>79898</td> <td>1941</td> <td><a href="http://www.imdb.com/title/tt0033467/">Citizen Kane</a></td> </tr> <tr> <td>8.6</td> <td>28071</td> <td>1968</td> <td><a href="http://www.imdb.com/title/tt0064116/">C’era una volta il West</a></td> </tr> <tr> <td>8.6</td> <td>48162</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0053125/">North by Northwest</a></td> </tr> <tr> <td>8.6</td> <td>128067</td> <td>2000</td> <td><a href="http://www.imdb.com/title/tt0209144/">Memento</a></td> </tr> <tr> <td>8.5</td> <td>121934</td> <td>1991</td> <td><a href="http://www.imdb.com/title/tt0102926/">The Silence of the Lambs</a></td> </tr> <tr> <td>8.5</td> <td>41966</td> <td>1962</td> <td><a href="http://www.imdb.com/title/tt0056172/">Lawrence of Arabia</a></td> </tr> <tr> <td>8.5</td> <td>54159</td> <td>1946</td> <td><a href="http://www.imdb.com/title/tt0038650/">It’s a Wonderful Life</a></td> </tr> <tr> <td>8.5</td> <td>23989</td> <td>1950</td> <td><a href="http://www.imdb.com/title/tt0043014/">Sunset Blvd.</a></td> </tr> <tr> <td>8.5</td> <td>87688</td> <td>2001</td> <td><a href="http://www.imdb.com/title/tt0211915/">Fabuleux destin d’Amélie Poulain, Le</a></td> </tr> <tr> <td>8.5</td> <td>164764</td> <td>1999</td> <td><a href="http://www.imdb.com/title/tt0137523/">Fight Club</a></td> </tr> <tr> <td>8.5</td> <td>147050</td> <td>1999</td> <td><a href="http://www.imdb.com/title/tt0169547/">American Beauty</a></td> </tr> <tr> <td>8.5</td> <td>192905</td> <td>1999</td> <td><a href="http://www.imdb.com/title/tt0133093/">The Matrix</a></td> </tr> <tr> <td>8.5</td> <td>46127</td> <td>1958</td> <td><a href="http://www.imdb.com/title/tt0052357/">Vertigo</a></td> </tr> <tr> <td>8.4</td> <td>88542</td> <td>1979</td> <td><a href="http://www.imdb.com/title/tt0078788/">Apocalypse Now</a></td> </tr> <tr> <td>8.4</td> <td>67656</td> <td>1976</td> <td><a href="http://www.imdb.com/title/tt0075314/">Taxi Driver</a></td> </tr> <tr> <td>8.4</td> <td>88315</td> <td>2004</td> <td><a href="http://www.imdb.com/title/tt0338013/">Eternal Sunshine of the Spotless Mind</a></td> </tr> <tr> <td>8.4</td> <td>124843</td> <td>1995</td> <td><a href="http://www.imdb.com/title/tt0114369/">Se7en</a></td> </tr> <tr> <td>8.4</td> <td>20663</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050825/">Paths of Glory</a></td> </tr> <tr> <td>8.4</td> <td>79502</td> <td>1994</td> <td><a href="http://www.imdb.com/title/tt0110413/">Léon</a></td> </tr> <tr> <td>8.4</td> <td>42176</td> <td>1962</td> <td><a href="http://www.imdb.com/title/tt0056592/">To Kill a Mockingbird</a></td> </tr> <tr> <td>8.4</td> <td>36284</td> <td>1974</td> <td><a href="http://www.imdb.com/title/tt0071315/">Chinatown</a></td> </tr> <tr> <td>8.4</td> <td>90124</td> <td>1998</td> <td><a href="http://www.imdb.com/title/tt0120586/">American History X</a></td> </tr> <tr> <td>8.4</td> <td>28044</td> <td>2004</td> <td><a href="http://www.imdb.com/title/tt0363163/">Untergang, Der</a></td> </tr> <tr> <td>8.4</td> <td>25776</td> <td>1949</td> <td><a href="http://www.imdb.com/title/tt0041959/">The Third Man</a></td> </tr> <tr> <td>8.4</td> <td>50593</td> <td>2002</td> <td><a href="http://www.imdb.com/title/tt0253474/">The Pianist</a></td> </tr> <tr> <td>8.3</td> <td>83635</td> <td>1975</td> <td><a href="http://www.imdb.com/title/tt0071853/">Monty Python and the Holy Grail</a></td> </tr> <tr> <td>8.3</td> <td>17778</td> <td>1931</td> <td><a href="http://www.imdb.com/title/tt0022100/">M</a></td> </tr> <tr> <td>8.3</td> <td>14759</td> <td>1948</td> <td><a href="http://www.imdb.com/title/tt0040897/">The Treasure of the Sierra Madre</a></td> </tr> <tr> <td>8.3</td> <td>38774</td> <td>1981</td> <td><a href="http://www.imdb.com/title/tt0082096/">Boot, Das</a></td> </tr> <tr> <td>8.3</td> <td>41643</td> <td>2001</td> <td><a href="http://www.imdb.com/title/tt0245429/">Sen to Chihiro no kamikakushi</a></td> </tr> <tr> <td>8.3</td> <td>30184</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050212/">The Bridge on the River Kwai</a></td> </tr> <tr> <td>8.3</td> <td>90722</td> <td>1997</td> <td><a href="http://www.imdb.com/title/tt0119488/">L.A. Confidential</a></td> </tr> <tr> <td>8.3</td> <td>85925</td> <td>1979</td> <td><a href="http://www.imdb.com/title/tt0078748/">Alien</a></td> </tr> <tr> <td>8.3</td> <td>26448</td> <td>1941</td> <td><a href="http://www.imdb.com/title/tt0033870/">The Maltese Falcon</a></td> </tr> <tr> <td>8.3</td> <td>90761</td> <td>1971</td> <td><a href="http://www.imdb.com/title/tt0066921/">A Clockwork Orange</a></td> </tr> <tr> <td>8.3</td> <td>75787</td> <td>2000</td> <td><a href="http://www.imdb.com/title/tt0180093/">Requiem for a Dream</a></td> </tr> <tr> <td>8.3</td> <td>31146</td> <td>2004</td> <td><a href="http://www.imdb.com/title/tt0395169/">Hotel Rwanda</a></td> </tr> <tr> <td>8.3</td> <td>17544</td> <td>1927</td> <td><a href="http://www.imdb.com/title/tt0017136/">Metropolis</a></td> </tr> <tr> <td>8.3</td> <td>73473</td> <td>1980</td> <td><a href="http://www.imdb.com/title/tt0081505/">The Shining</a></td> </tr> <tr> <td>8.3</td> <td>16538</td> <td>1944</td> <td><a href="http://www.imdb.com/title/tt0036775/">Double Indemnity</a></td> </tr> <tr> <td>8.3</td> <td>97378</td> <td>1992</td> <td><a href="http://www.imdb.com/title/tt0105236/">Reservoir Dogs</a></td> </tr> <tr> <td>8.3</td> <td>134982</td> <td>1998</td> <td><a href="http://www.imdb.com/title/tt0120815/">Saving Private Ryan</a></td> </tr> <tr> <td>8.3</td> <td>27965</td> <td>1952</td> <td><a href="http://www.imdb.com/title/tt0045152/">Singin’ in the Rain</a></td> </tr> <tr> <td>8.3</td> <td>17350</td> <td>1950</td> <td><a href="http://www.imdb.com/title/tt0042876/">Rashômon</a></td> </tr> <tr> <td>8.3</td> <td>94965</td> <td>2005</td> <td><a href="http://www.imdb.com/title/tt0401792/">Sin City</a></td> </tr> <tr> <td>8.3</td> <td>39024</td> <td>1980</td> <td><a href="http://www.imdb.com/title/tt0081398/">Raging Bull</a></td> </tr> <tr> <td>8.3</td> <td>15107</td> <td>1936</td> <td><a href="http://www.imdb.com/title/tt0027977/">Modern Times</a></td> </tr> <tr> <td>8.3</td> <td>19253</td> <td>1962</td> <td><a href="http://www.imdb.com/title/tt0056218/">The Manchurian Candidate</a></td> </tr> <tr> <td>8.3</td> <td>84850</td> <td>1986</td> <td><a href="http://www.imdb.com/title/tt0090605/">Aliens</a></td> </tr> <tr> <td>8.3</td> <td>16306</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0032976/">Rebecca</a></td> </tr> <tr> <td>8.2</td> <td>28511</td> <td>1963</td> <td><a href="http://www.imdb.com/title/tt0057115/">The Great Escape</a></td> </tr> <tr> <td>8.2</td> <td>34487</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0053291/">Some Like It Hot</a></td> </tr> <tr> <td>8.2</td> <td>17935</td> <td>1950</td> <td><a href="http://www.imdb.com/title/tt0042192/">All About Eve</a></td> </tr> <tr> <td>8.2</td> <td>16059</td> <td>1958</td> <td><a href="http://www.imdb.com/title/tt0052311/">Touch of Evil</a></td> </tr> <tr> <td>8.2</td> <td>41966</td> <td>2006</td> <td><a href="http://www.imdb.com/title/tt0407887/">The Departed</a></td> </tr> <tr> <td>8.2</td> <td>52849</td> <td>2004</td> <td><a href="http://www.imdb.com/title/tt0405159/">Million Dollar Baby</a></td> </tr> <tr> <td>8.2</td> <td>85137</td> <td>1968</td> <td><a href="http://www.imdb.com/title/tt0062622/">2001: A Space Odyssey</a></td> </tr> <tr> <td>8.2</td> <td>49539</td> <td>1984</td> <td><a href="http://www.imdb.com/title/tt0086879/">Amadeus</a></td> </tr> <tr> <td>8.2</td> <td>14918</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050976/">Sjunde inseglet, Det</a></td> </tr> <tr> <td>8.2</td> <td>51923</td> <td>1997</td> <td><a href="http://www.imdb.com/title/tt0118799/">Vita è bella, La</a></td> </tr> <tr> <td>8.2</td> <td>65784</td> <td>1975</td> <td><a href="http://www.imdb.com/title/tt0073195/">Jaws</a></td> </tr> <tr> <td>8.2</td> <td>32450</td> <td>1973</td> <td><a href="http://www.imdb.com/title/tt0070735/">The Sting</a></td> </tr> <tr> <td>8.2</td> <td>15343</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0044079/">Strangers on a Train</a></td> </tr> <tr> <td>8.2</td> <td>128564</td> <td>1994</td> <td><a href="http://www.imdb.com/title/tt0109830/">Forrest Gump</a></td> </tr> <tr> <td>8.2</td> <td>97414</td> <td>2005</td> <td><a href="http://www.imdb.com/title/tt0372784/">Batman Begins</a></td> </tr> <tr> <td>8.2</td> <td>104569</td> <td>1991</td> <td><a href="http://www.imdb.com/title/tt0103064/">Terminator 2: Judgment Day</a></td> </tr> <tr> <td>8.2</td> <td>18649</td> <td>1954</td> <td><a href="http://www.imdb.com/title/tt0047296/">On the Waterfront</a></td> </tr> <tr> <td>8.2</td> <td>16240</td> <td>1939</td> <td><a href="http://www.imdb.com/title/tt0031679/">Mr. Smith Goes to Washington</a></td> </tr> <tr> <td>8.2</td> <td>51662</td> <td>1939</td> <td><a href="http://www.imdb.com/title/tt0032138/">The Wizard of Oz</a></td> </tr> <tr> <td>8.2</td> <td>123256</td> <td>1995</td> <td><a href="http://www.imdb.com/title/tt0112573/">Braveheart</a></td> </tr> <tr> <td>8.2</td> <td>100529</td> <td>2003</td> <td><a href="http://www.imdb.com/title/tt0266697/">Kill Bill: Vol. 1</a></td> </tr> <tr> <td>8.2</td> <td>58991</td> <td>2004</td> <td><a href="http://www.imdb.com/title/tt0317705/">The Incredibles</a></td> </tr> <tr> <td>8.2</td> <td>96362</td> <td>1982</td> <td><a href="http://www.imdb.com/title/tt0083658/">Blade Runner</a></td> </tr> <tr> <td>8.2</td> <td>23828</td> <td>1980</td> <td><a href="http://www.imdb.com/title/tt0080678/">The Elephant Man</a></td> </tr> <tr> <td>8.2</td> <td>67115</td> <td>1987</td> <td><a href="http://www.imdb.com/title/tt0093058/">Full Metal Jacket</a></td> </tr> <tr> <td>8.2</td> <td>15854</td> <td>1960</td> <td><a href="http://www.imdb.com/title/tt0053604/">The Apartment</a></td> </tr> <tr> <td>8.2</td> <td>14094</td> <td>1946</td> <td><a href="http://www.imdb.com/title/tt0038355/">The Big Sleep</a></td> </tr> <tr> <td>8.2</td> <td>14985</td> <td>1946</td> <td><a href="http://www.imdb.com/title/tt0038787/">Notorious</a></td> </tr> <tr> <td>8.2</td> <td>11295</td> <td>1931</td> <td><a href="http://www.imdb.com/title/tt0021749/">City Lights</a></td> </tr> <tr> <td>8.2</td> <td>16974</td> <td>1952</td> <td><a href="http://www.imdb.com/title/tt0044706/">High Noon</a></td> </tr> <tr> <td>8.2</td> <td>20215</td> <td>1988</td> <td><a href="http://www.imdb.com/title/tt0095765/">Nuovo cinema Paradiso</a></td> </tr> <tr> <td>8.2</td> <td>88881</td> <td>2001</td> <td><a href="http://www.imdb.com/title/tt0246578/">Donnie Darko</a></td> </tr> <tr> <td>8.2</td> <td>85567</td> <td>1996</td> <td><a href="http://www.imdb.com/title/tt0116282/">Fargo</a></td> </tr> <tr> <td>8.1</td> <td>17257</td> <td>1985</td> <td><a href="http://www.imdb.com/title/tt0089881/">Ran</a></td> </tr> <tr> <td>8.2</td> <td>70672</td> <td>2004</td> <td><a href="http://www.imdb.com/title/tt0375679/">Crash</a></td> </tr> <tr> <td>8.1</td> <td>65782</td> <td>2003</td> <td><a href="http://www.imdb.com/title/tt0266543/">Finding Nemo</a></td> </tr> <tr> <td>8.1</td> <td>113151</td> <td>1983</td> <td><a href="http://www.imdb.com/title/tt0086190/">Star Wars: Episode VI - Return of the Jedi</a></td> </tr> <tr> <td>8.1</td> <td>15524</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0032553/">The Great Dictator</a></td> </tr> <tr> <td>8.1</td> <td>29150</td> <td>1984</td> <td><a href="http://www.imdb.com/title/tt0087843/">Once Upon a Time in America</a></td> </tr> <tr> <td>8.1</td> <td>19982</td> <td>1967</td> <td><a href="http://www.imdb.com/title/tt0061512/">Cool Hand Luke</a></td> </tr> <tr> <td>8.1</td> <td>29393</td> <td>1997</td> <td><a href="http://www.imdb.com/title/tt0119698/">Mononoke-hime</a></td> </tr> <tr> <td>8.1</td> <td>4971</td> <td>1953</td> <td><a href="http://www.imdb.com/title/tt0046268/">Salaire de la peur, Le</a></td> </tr> <tr> <td>8.1</td> <td>128380</td> <td>1999</td> <td><a href="http://www.imdb.com/title/tt0167404/">The Sixth Sense</a></td> </tr> <tr> <td>8.1</td> <td>71598</td> <td>2005</td> <td><a href="http://www.imdb.com/title/tt0434409/">V for Vendetta</a></td> </tr> <tr> <td>8.1</td> <td>42862</td> <td>1992</td> <td><a href="http://www.imdb.com/title/tt0105695/">Unforgiven</a></td> </tr> <tr> <td>8.1</td> <td>82116</td> <td>1989</td> <td><a href="http://www.imdb.com/title/tt0097576/">Indiana Jones and the Last Crusade</a></td> </tr> <tr> <td>8.1</td> <td>74045</td> <td>2004</td> <td><a href="http://www.imdb.com/title/tt0378194/">Kill Bill: Vol. 2</a></td> </tr> <tr> <td>8.1</td> <td>28501</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0052618/">Ben-Hur</a></td> </tr> <tr> <td>8.1</td> <td>30306</td> <td>1977</td> <td><a href="http://www.imdb.com/title/tt0075686/">Annie Hall</a></td> </tr> <tr> <td>8.1</td> <td>94218</td> <td>1985</td> <td><a href="http://www.imdb.com/title/tt0088763/">Back to the Future</a></td> </tr> <tr> <td>8.1</td> <td>29692</td> <td>2003</td> <td><a href="http://www.imdb.com/title/tt0364569/">Oldboy</a></td> </tr> <tr> <td>8.1</td> <td>66145</td> <td>2000</td> <td><a href="http://www.imdb.com/title/tt0190332/">Wo hu cang long</a></td> </tr> <tr> <td>8.1</td> <td>10398</td> <td>1956</td> <td><a href="http://www.imdb.com/title/tt0049406/">The Killing</a></td> </tr> <tr> <td>8.1</td> <td>46140</td> <td>1979</td> <td><a href="http://www.imdb.com/title/tt0079470/">Life of Brian</a></td> </tr> <tr> <td>8.1</td> <td>13435</td> <td>1961</td> <td><a href="http://www.imdb.com/title/tt0055630/">Yojimbo</a></td> </tr> <tr> <td>8.1</td> <td>70896</td> <td>1987</td> <td><a href="http://www.imdb.com/title/tt0093779/">The Princess Bride</a></td> </tr> <tr> <td>8.1</td> <td>86551</td> <td>1999</td> <td><a href="http://www.imdb.com/title/tt0120689/">The Green Mile</a></td> </tr> <tr> <td>8</td> <td>40031</td> <td>1978</td> <td><a href="http://www.imdb.com/title/tt0077416/">The Deer Hunter</a></td> </tr> <tr> <td>8</td> <td>3949</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050783/">Notti di Cabiria, Le</a></td> </tr> <tr> <td>8</td> <td>49695</td> <td>1986</td> <td><a href="http://www.imdb.com/title/tt0091763/">Platoon</a></td> </tr> <tr> <td>8</td> <td>38832</td> <td>1967</td> <td><a href="http://www.imdb.com/title/tt0061722/">The Graduate</a></td> </tr> <tr> <td>8</td> <td>11218</td> <td>1934</td> <td><a href="http://www.imdb.com/title/tt0025316/">It Happened One Night</a></td> </tr> <tr> <td>8</td> <td>27831</td> <td>1969</td> <td><a href="http://www.imdb.com/title/tt0064115/">Butch Cassidy and the Sundance Kid</a></td> </tr> <tr> <td>8</td> <td>14890</td> <td>1965</td> <td><a href="http://www.imdb.com/title/tt0059578/">Per qualche dollaro in più</a></td> </tr> <tr> <td>8</td> <td>128183</td> <td>2000</td> <td><a href="http://www.imdb.com/title/tt0172495/">Gladiator</a></td> </tr> <tr> <td>8</td> <td>5469</td> <td>1949</td> <td><a href="http://www.imdb.com/title/tt0041546/">Kind Hearts and Coronets</a></td> </tr> <tr> <td>8</td> <td>18306</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0043265/">The African Queen</a></td> </tr> <tr> <td>8</td> <td>22068</td> <td>1982</td> <td><a href="http://www.imdb.com/title/tt0083987/">Gandhi</a></td> </tr> <tr> <td>8</td> <td>24537</td> <td>2000</td> <td><a href="http://www.imdb.com/title/tt0245712/">Amores perros</a></td> </tr> <tr> <td>8</td> <td>55368</td> <td>1999</td> <td><a href="http://www.imdb.com/title/tt0120363/">Toy Story 2</a></td> </tr> <tr> <td>8</td> <td>10971</td> <td>1948</td> <td><a href="http://www.imdb.com/title/tt0040522/">Ladri di biciclette</a></td> </tr> <tr> <td>8</td> <td>10525</td> <td>1938</td> <td><a href="http://www.imdb.com/title/tt0029843/">The Adventures of Robin Hood</a></td> </tr> <tr> <td>8</td> <td>4339</td> <td>1966</td> <td><a href="http://www.imdb.com/title/tt0058946/">Battaglia di Algeri, La</a></td> </tr> <tr> <td>8</td> <td>5198</td> <td>1955</td> <td><a href="http://www.imdb.com/title/tt0046911/">Diaboliques, Les</a></td> </tr> <tr> <td>8</td> <td>8785</td> <td>1943</td> <td><a href="http://www.imdb.com/title/tt0036342/">Shadow of a Doubt</a></td> </tr> <tr> <td>8</td> <td>12066</td> <td>1963</td> <td><a href="http://www.imdb.com/title/tt0056801/">8½</a></td> </tr> <tr> <td>8</td> <td>44522</td> <td>1998</td> <td><a href="http://www.imdb.com/title/tt0130827/">Lola rennt</a></td> </tr> <tr> <td>8</td> <td>4657</td> <td>1945</td> <td><a href="http://www.imdb.com/title/tt0037558/">Brief Encounter</a></td> </tr> <tr> <td>8</td> <td>11097</td> <td>1955</td> <td><a href="http://www.imdb.com/title/tt0048424/">The Night of the Hunter</a></td> </tr> <tr> <td>8</td> <td>14968</td> <td>1969</td> <td><a href="http://www.imdb.com/title/tt0065214/">The Wild Bunch</a></td> </tr> <tr> <td>8</td> <td>42667</td> <td>1986</td> <td><a href="http://www.imdb.com/title/tt0092005/">Stand by Me</a></td> </tr> <tr> <td>8</td> <td>14680</td> <td>1974</td> <td><a href="http://www.imdb.com/title/tt0071360/">The Conversation</a></td> </tr> <tr> <td>8</td> <td>9327</td> <td>1927</td> <td><a href="http://www.imdb.com/title/tt0017925/">The General</a></td> </tr> <tr> <td>8</td> <td>8405</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050986/">Smultronstället</a></td> </tr> <tr> <td>8</td> <td>79214</td> <td>1988</td> <td><a href="http://www.imdb.com/title/tt0095016/">Die Hard</a></td> </tr> <tr> <td>8</td> <td>10873</td> <td>1950</td> <td><a href="http://www.imdb.com/title/tt0042546/">Harvey</a></td> </tr> <tr> <td>8</td> <td>13632</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0023969/">Duck Soup</a></td> </tr> <tr> <td>8</td> <td>22845</td> <td>1975</td> <td><a href="http://www.imdb.com/title/tt0072890/">Dog Day Afternoon</a></td> </tr> <tr> <td>8</td> <td>12634</td> <td>1922</td> <td><a href="http://www.imdb.com/title/tt0013442/">Nosferatu, eine Symphonie des Grauens</a></td> </tr> <tr> <td>8</td> <td>19894</td> <td>1970</td> <td><a href="http://www.imdb.com/title/tt0066206/">Patton</a></td> </tr> <tr> <td>8</td> <td>28779</td> <td>1989</td> <td><a href="http://www.imdb.com/title/tt0097441/">Glory</a></td> </tr> <tr> <td>8</td> <td>14235</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0043456/">The Day the Earth Stood Still</a></td> </tr> <tr> <td>8</td> <td>6339</td> <td>1920</td> <td><a href="http://www.imdb.com/title/tt0010323/">Cabinet des Dr. Caligari., Das</a></td> </tr> <tr> <td>7.9</td> <td>39670</td> <td>1939</td> <td><a href="http://www.imdb.com/title/tt0031381/">Gone with the Wind</a></td> </tr> <tr> <td>7.9</td> <td>39526</td> <td>2002</td> <td><a href="http://www.imdb.com/title/tt0299977/">Ying xiong</a></td> </tr> <tr> <td>7.9</td> <td>23629</td> <td>1960</td> <td><a href="http://www.imdb.com/title/tt0054331/">Spartacus</a></td> </tr> <tr> <td>7.9</td> <td>62267</td> <td>1993</td> <td><a href="http://www.imdb.com/title/tt0107048/">Groundhog Day</a></td> </tr> <tr> <td>7.9</td> <td>39383</td> <td>2004</td> <td><a href="http://www.imdb.com/title/tt0308644/">Finding Neverland</a></td> </tr> <tr> <td>7.9</td> <td>61792</td> <td>1995</td> <td><a href="http://www.imdb.com/title/tt0114709/">Toy Story</a></td> </tr> <tr> <td>7.9</td> <td>3925</td> <td>1946</td> <td><a href="http://www.imdb.com/title/tt0038348/">Belle et la bête, La</a></td> </tr> <tr> <td>7.9</td> <td>71725</td> <td>1996</td> <td><a href="http://www.imdb.com/title/tt0117951/">Trainspotting</a></td> </tr> <tr> <td>7.9</td> <td>9082</td> <td>1925</td> <td><a href="http://www.imdb.com/title/tt0015864/">The Gold Rush</a></td> </tr> <tr> <td>7.9</td> <td>14380</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0032904/">The Philadelphia Story</a></td> </tr> <tr> <td>7.9</td> <td>63539</td> <td>1999</td> <td><a href="http://www.imdb.com/title/tt0175880/">Magnolia</a></td> </tr> <tr> <td>7.9</td> <td>48051</td> <td>1973</td> <td><a href="http://www.imdb.com/title/tt0070047/">The Exorcist</a></td> </tr> <tr> <td>7.9</td> <td>27304</td> <td>1983</td> <td><a href="http://www.imdb.com/title/tt0085334/">A Christmas Story</a></td> </tr> <tr> <td>7.9</td> <td>10956</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0032551/">The Grapes of Wrath</a></td> </tr> <tr> <td>7.9</td> <td>47185</td> <td>2003</td> <td><a href="http://www.imdb.com/title/tt0327056/">Mystic River</a></td> </tr> <tr> <td>7.9</td> <td>73754</td> <td>1998</td> <td><a href="http://www.imdb.com/title/tt0118715/">The Big Lebowski</a></td> </tr> <tr> <td>7.9</td> <td>90560</td> <td>2001</td> <td><a href="http://www.imdb.com/title/tt0126029/">Shrek</a></td> </tr> <tr> <td>7.9</td> <td>25035</td> <td>2005</td> <td><a href="http://www.imdb.com/title/tt0352248/">Cinderella Man</a></td> </tr> <tr> <td>7.9</td> <td>55120</td> <td>2003</td> <td><a href="http://www.imdb.com/title/tt0319061/">Big Fish</a></td> </tr> <tr> <td>7.9</td> <td>19395</td> <td>2004</td> <td><a href="http://www.imdb.com/title/tt0381681/">Before Sunset</a></td> </tr> <tr> <td>7.9</td> <td>83678</td> <td>1995</td> <td><a href="http://www.imdb.com/title/tt0114746/">Twelve Monkeys</a></td> </tr> <tr> <td>7.9</td> <td>64508</td> <td>1995</td> <td><a href="http://www.imdb.com/title/tt0113277/">Heat</a></td> </tr> <tr> <td>7.9</td> <td>17702</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0024216/">King Kong</a></td> </tr> <tr> <td>7.9</td> <td>5399</td> <td>1961</td> <td><a href="http://www.imdb.com/title/tt0055031/">Judgment at Nuremberg</a></td> </tr> <tr> <td>7.9</td> <td>33275</td> <td>1994</td> <td><a href="http://www.imdb.com/title/tt0109707/">Ed Wood</a></td> </tr> <tr> <td>7.9</td> <td>11628</td> <td>1961</td> <td><a href="http://www.imdb.com/title/tt0054997/">The Hustler</a></td> </tr> <tr> <td>7.9</td> <td>18639</td> <td>2005</td> <td><a href="http://www.imdb.com/title/tt0312004/">Wallace & Gromit in The Curse of the Were-Rabbit</a></td> </tr> <tr> <td>7.9</td> <td>4284</td> <td>1947</td> <td><a href="http://www.imdb.com/title/tt0039689/">Out of the Past</a></td> </tr> <tr> <td>7.9</td> <td>6894</td> <td>1938</td> <td><a href="http://www.imdb.com/title/tt0030341/">The Lady Vanishes</a></td> </tr> <tr> <td>7.9</td> <td>8491</td> <td>1946</td> <td><a href="http://www.imdb.com/title/tt0036868/">The Best Years of Our Lives</a></td> </tr> <tr> <td>7.9</td> <td>80411</td> <td>1984</td> <td><a href="http://www.imdb.com/title/tt0088247/">The Terminator</a></td> </tr> <tr> <td>7.9</td> <td>35489</td> <td>2005</td> <td><a href="http://www.imdb.com/title/tt0358273/">Walk the Line</a></td> </tr> <tr> <td>7.9</td> <td>7168</td> <td>1935</td> <td><a href="http://www.imdb.com/title/tt0026138/">Bride of Frankenstein</a></td> </tr> <tr> <td>7.9</td> <td>68102</td> <td>2000</td> <td><a href="http://www.imdb.com/title/tt0208092/">Snatch.</a></td> </tr> <tr> <td>7.9</td> <td>10110</td> <td>1967</td> <td><a href="http://www.imdb.com/title/tt0061811/">In the Heat of the Night</a></td> </tr> <tr> <td>7.9</td> <td>6578</td> <td>1972</td> <td><a href="http://www.imdb.com/title/tt0069281/">Sleuth</a></td> </tr> <tr> <td>7.9</td> <td>10025</td> <td>1953</td> <td><a href="http://www.imdb.com/title/tt0046359/">Stalag 17</a></td> </tr> <tr> <td>7.9</td> <td>12599</td> <td>1988</td> <td><a href="http://www.imdb.com/title/tt0095327/">Hotaru no haka</a></td> </tr> <tr> <td>7.9</td> <td>2851</td> <td>1955</td> <td><a href="http://www.imdb.com/title/tt0048021/">Du rififi chez les hommes</a></td> </tr> <tr> <td>7.9</td> <td>3138</td> <td>1963</td> <td><a href="http://www.imdb.com/title/tt0057565/">Tengoku to jigoku</a></td> </tr> <tr> <td>7.9</td> <td>30458</td> <td>1974</td> <td><a href="http://www.imdb.com/title/tt0072431/">Young Frankenstein</a></td> </tr> <tr> <td>7.9</td> <td>19629</td> <td>2002</td> <td><a href="http://www.imdb.com/title/tt0287467/">Hable con ella</a></td> </tr> <tr> <td>7.9</td> <td>17937</td> <td>1967</td> <td><a href="http://www.imdb.com/title/tt0061418/">Bonnie and Clyde</a></td> </tr> <tr> <td>7.9</td> <td>20784</td> <td>1999</td> <td><a href="http://www.imdb.com/title/tt0166896/">The Straight Story</a></td> </tr> <tr> <td>7.9</td> <td>27961</td> <td>1982</td> <td><a href="http://www.imdb.com/title/tt0084787/">The Thing</a></td> </tr> <tr> <td>7.9</td> <td>5523</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050613/">Kumonosu jô</a></td> </tr> <tr> <td>7.9</td> <td>17362</td> <td>1979</td> <td><a href="http://www.imdb.com/title/tt0079522/">Manhattan</a></td> </tr> <tr> <td>7.9</td> <td>9798</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0053198/">Quatre cents coups, Les</a></td> </tr> <tr> <td>7.9</td> <td>26699</td> <td>1996</td> <td><a href="http://www.imdb.com/title/tt0117666/">Sling Blade</a></td> </tr> <tr> <td>7.9</td> <td>2500</td> <td>1985</td> <td><a href="http://www.imdb.com/title/tt0091251/">Idi i smotri</a></td> </tr> <tr> <td>7.9</td> <td>19071</td> <td>1968</td> <td><a href="http://www.imdb.com/title/tt0063522/">Rosemary’s Baby</a></td> </tr> <tr> <td>7.9</td> <td>50785</td> <td>1998</td> <td><a href="http://www.imdb.com/title/tt0120735/">Lock, Stock and Two Smoking Barrels</a></td> </tr> <tr> <td>7.9</td> <td>9863</td> <td>1931</td> <td><a href="http://www.imdb.com/title/tt0021884/">Frankenstein</a></td> </tr> <tr> <td>7.9</td> <td>7344</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0051201/">Witness for the Prosecution</a></td> </tr> <tr> <td>7.9</td> <td>5931</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0052561/">Anatomy of a Murder</a></td> </tr> <tr> <td>7.9</td> <td>15382</td> <td>1944</td> <td><a href="http://www.imdb.com/title/tt0036613/">Arsenic and Old Lace</a></td> </tr> <tr> <td>7.9</td> <td>55431</td> <td>2001</td> <td><a href="http://www.imdb.com/title/tt0198781/">Monsters, Inc.</a></td> </tr> <tr> <td>7.9</td> <td>51862</td> <td>1983</td> <td><a href="http://www.imdb.com/title/tt0086250/">Scarface</a></td> </tr> <tr> <td>7.9</td> <td>4368</td> <td>1945</td> <td><a href="http://www.imdb.com/title/tt0037884/">The Lost Weekend</a></td> </tr> <tr> <td>7.9</td> <td>9878</td> <td>1930</td> <td><a href="http://www.imdb.com/title/tt0020629/">All Quiet on the Western Front</a></td> </tr> <tr> <td>7.9</td> <td>103979</td> <td>2003</td> <td><a href="http://www.imdb.com/title/tt0325980/">Pirates of the Caribbean: The Curse of the Black Pearl</a></td> </tr> <tr> <td>7.9</td> <td>13597</td> <td>1953</td> <td><a href="http://www.imdb.com/title/tt0046250/">Roman Holiday</a></td> </tr> <tr> <td>7.8</td> <td>10291</td> <td>1962</td> <td><a href="http://www.imdb.com/title/tt0056217/">The Man Who Shot Liberty Valance</a></td> </tr> <tr> <td>7.8</td> <td>14367</td> <td>1956</td> <td><a href="http://www.imdb.com/title/tt0049730/">The Searchers</a></td> </tr> <tr> <td>7.8</td> <td>9651</td> <td>1995</td> <td><a href="http://www.imdb.com/title/tt0113247/">Haine, La</a></td> </tr> <tr> <td>7.8</td> <td>17450</td> <td>2006</td> <td><a href="http://www.imdb.com/title/tt0482571/">The Prestige</a></td> </tr> <tr> <td>7.8</td> <td>14644</td> <td>1965</td> <td><a href="http://www.imdb.com/title/tt0059113/">Doctor Zhivago</a></td> </tr> <tr> <td>7.8</td> <td>10117</td> <td>1987</td> <td><a href="http://www.imdb.com/title/tt0093191/">Himmel über Berlin, Der</a></td> </tr> <tr> <td>7.8</td> <td>12756</td> <td>1938</td> <td><a href="http://www.imdb.com/title/tt0029947/">Bringing Up Baby</a></td> </tr> <tr> <td>7.8</td> <td>41725</td> <td>1985</td> <td><a href="http://www.imdb.com/title/tt0088846/">Brazil</a></td> </tr> <tr> <td>7.8</td> <td>6755</td> <td>1972</td> <td><a href="http://www.imdb.com/title/tt0068182/">Aguirre, der Zorn Gottes</a></td> </tr> <tr> <td>7.8</td> <td>2934</td> <td>1943</td> <td><a href="http://www.imdb.com/title/tt0036244/">The Ox-Bow Incident</a></td> </tr> <tr> <td>7.8</td> <td>14248</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0044081/">A Streetcar Named Desire</a></td> </tr> <tr> <td>7.8</td> <td>28118</td> <td>1968</td> <td><a href="http://www.imdb.com/title/tt0063442/">Planet of the Apes</a></td> </tr> <tr> <td>7.8</td> <td>3709</td> <td>1969</td> <td><a href="http://www.imdb.com/title/tt0065234/">Z</a></td> </tr> <tr> <td>7.8</td> <td>13300</td> <td>1971</td> <td><a href="http://www.imdb.com/title/tt0067185/">Harold and Maude</a></td> </tr> <tr> <td>7.8</td> <td>2485</td> <td>1952</td> <td><a href="http://www.imdb.com/title/tt0045274/">Umberto D.</a></td> </tr> <tr> <td>7.8</td> <td>11329</td> <td>1954</td> <td><a href="http://www.imdb.com/title/tt0046912/">Dial M for Murder</a></td> </tr> <tr> <td>7.8</td> <td>6930</td> <td>1952</td> <td><a href="http://www.imdb.com/title/tt0044741/">Ikiru</a></td> </tr> <tr> <td>7.8</td> <td>5368</td> <td>1960</td> <td><a href="http://www.imdb.com/title/tt0053946/">Inherit the Wind</a></td> </tr> <tr> <td>7.8</td> <td>18010</td> <td>1976</td> <td><a href="http://www.imdb.com/title/tt0074119/">All the President’s Men</a></td> </tr> <tr> <td>7.8</td> <td>10957</td> <td>2001</td> <td><a href="http://www.imdb.com/title/tt0283509/">No Man’s Land</a></td> </tr> <tr> <td>7.8</td> <td>11178</td> <td>1975</td> <td><a href="http://www.imdb.com/title/tt0073341/">The Man Who Would Be King</a></td> </tr> <tr> <td>7.8</td> <td>9683</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0032599/">His Girl Friday</a></td> </tr> <tr> <td>7.8</td> <td>4079</td> <td>1967</td> <td><a href="http://www.imdb.com/title/tt0061809/">In Cold Blood</a></td> </tr> </tbody> </table> <h2 id="alfred-hitchcock-movies">Alfred Hitchcock movies</h2> <table> <thead> <tr> <th>Rating</th> <th>Votes</th> <th>Year</th> <th>Name</th> </tr> </thead> <tbody> <tr> <td>6.6</td> <td>3334</td> <td>1976</td> <td><a href="http://www.imdb.com/title/tt0074512/">Family Plot</a></td> </tr> <tr> <td>7.5</td> <td>5771</td> <td>1972</td> <td><a href="http://www.imdb.com/title/tt0068611/">Frenzy</a></td> </tr> <tr> <td>6.5</td> <td>3827</td> <td>1966</td> <td><a href="http://www.imdb.com/title/tt0061107/">Torn Curtain</a></td> </tr> <tr> <td>7.2</td> <td>6659</td> <td>1964</td> <td><a href="http://www.imdb.com/title/tt0058329/">Marnie</a></td> </tr> <tr> <td>7.8</td> <td>27315</td> <td>1963</td> <td><a href="http://www.imdb.com/title/tt0056869/">The Birds</a></td> </tr> <tr> <td>8.6</td> <td>72264</td> <td>1960</td> <td><a href="http://www.imdb.com/title/tt0054215/">Psycho</a></td> </tr> <tr> <td>8.6</td> <td>48162</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0053125/">North by Northwest</a></td> </tr> <tr> <td>8.5</td> <td>46135</td> <td>1958</td> <td><a href="http://www.imdb.com/title/tt0052357/">Vertigo</a></td> </tr> <tr> <td>7.4</td> <td>3054</td> <td>1956</td> <td><a href="http://www.imdb.com/title/tt0051207/">The Wrong Man</a></td> </tr> <tr> <td>7.5</td> <td>8243</td> <td>1956</td> <td><a href="http://www.imdb.com/title/tt0049470/">The Man Who Knew Too Much</a></td> </tr> <tr> <td>7.2</td> <td>5430</td> <td>1955</td> <td><a href="http://www.imdb.com/title/tt0048750/">The Trouble with Harry</a></td> </tr> <tr> <td>7.5</td> <td>8567</td> <td>1955</td> <td><a href="http://www.imdb.com/title/tt0048728/">To Catch a Thief</a></td> </tr> <tr> <td>8.7</td> <td>56930</td> <td>1954</td> <td><a href="http://www.imdb.com/title/tt0047396/">Rear Window</a></td> </tr> <tr> <td>8</td> <td>11338</td> <td>1954</td> <td><a href="http://www.imdb.com/title/tt0046912/">Dial M for Murder</a></td> </tr> <tr> <td>7</td> <td>2411</td> <td>1953</td> <td><a href="http://www.imdb.com/title/tt0045897/">I Confess</a></td> </tr> <tr> <td>8.3</td> <td>15361</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0044079/">Strangers on a Train</a></td> </tr> <tr> <td>6.9</td> <td>1874</td> <td>1950</td> <td><a href="http://www.imdb.com/title/tt0042994/">Stage Fright</a></td> </tr> <tr> <td>8</td> <td>11769</td> <td>1948</td> <td><a href="http://www.imdb.com/title/tt0040746/">Rope</a></td> </tr> <tr> <td>6.3</td> <td>1842</td> <td>1947</td> <td><a href="http://www.imdb.com/title/tt0039694/">The Paradine Case</a></td> </tr> <tr> <td>8.3</td> <td>15004</td> <td>1946</td> <td><a href="http://www.imdb.com/title/tt0038787/">Notorious</a></td> </tr> <tr> <td>7.6</td> <td>7240</td> <td>1945</td> <td><a href="http://www.imdb.com/title/tt0038109/">Spellbound</a></td> </tr> <tr> <td>8</td> <td>22</td> <td>1945</td> <td><a href="http://www.imdb.com/title/tt0187589/">Watchtower Over Tomorrow</a></td> </tr> <tr> <td>7.8</td> <td>4277</td> <td>1944</td> <td><a href="http://www.imdb.com/title/tt0037017/">Lifeboat</a></td> </tr> <tr> <td>6.7</td> <td>262</td> <td>1944</td> <td><a href="http://www.imdb.com/title/tt0036659/">Bon Voyage</a></td> </tr> <tr> <td>5.8</td> <td>252</td> <td>1944</td> <td><a href="http://www.imdb.com/title/tt0036621/">Aventure malgache</a></td> </tr> <tr> <td>8.2</td> <td>8789</td> <td>1943</td> <td><a href="http://www.imdb.com/title/tt0036342/">Shadow of a Doubt</a></td> </tr> <tr> <td>7.3</td> <td>3185</td> <td>1942</td> <td><a href="http://www.imdb.com/title/tt0035279/">Saboteur</a></td> </tr> <tr> <td>7.6</td> <td>4717</td> <td>1941</td> <td><a href="http://www.imdb.com/title/tt0034248/">Suspicion</a></td> </tr> <tr> <td>6.5</td> <td>1624</td> <td>1941</td> <td><a href="http://www.imdb.com/title/tt0033922/">Mr. & Mrs. Smith</a></td> </tr> <tr> <td>7.7</td> <td>3035</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0032484/">Foreign Correspondent</a></td> </tr> <tr> <td>8.4</td> <td>16312</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0032976/">Rebecca</a></td> </tr> <tr> <td>8.1</td> <td>6899</td> <td>1938</td> <td><a href="http://www.imdb.com/title/tt0030341/">The Lady Vanishes</a></td> </tr> <tr> <td>7.1</td> <td>1366</td> <td>1937</td> <td><a href="http://www.imdb.com/title/tt0029811/">Young and Innocent</a></td> </tr> <tr> <td>7.2</td> <td>2142</td> <td>1936</td> <td><a href="http://www.imdb.com/title/tt0028212/">Sabotage</a></td> </tr> <tr> <td>6.7</td> <td>1407</td> <td>1936</td> <td><a href="http://www.imdb.com/title/tt0028231/">Secret Agent</a></td> </tr> <tr> <td>8</td> <td>11050</td> <td>1935</td> <td><a href="http://www.imdb.com/title/tt0026029/">The 39 Steps</a></td> </tr> </tbody> </table> <h2 id="cary-grant-movies">Cary Grant movies</h2> <table> <thead> <tr> <th>Rating</th> <th>Votes</th> <th>Year</th> <th>Name</th> </tr> </thead> <tbody> <tr> <td>6.5</td> <td>694</td> <td>1966</td> <td><a href="http://www.imdb.com/title/tt0061170/">Walk Don’t Run</a></td> </tr> <tr> <td>7.2</td> <td>2190</td> <td>1964</td> <td><a href="http://www.imdb.com/title/tt0058092/">Father Goose</a></td> </tr> <tr> <td>8</td> <td>13093</td> <td>1963</td> <td><a href="http://www.imdb.com/title/tt0056923/">Charade</a></td> </tr> <tr> <td>6.5</td> <td>1581</td> <td>1962</td> <td><a href="http://www.imdb.com/title/tt0056575/">That Touch of Mink</a></td> </tr> <tr> <td>6.7</td> <td>869</td> <td>1960</td> <td><a href="http://www.imdb.com/title/tt0053877/">The Grass Is Greener</a></td> </tr> <tr> <td>7.2</td> <td>2454</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0053143/">Operation Petticoat</a></td> </tr> <tr> <td>8.6</td> <td>48184</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0053125/">North by Northwest</a></td> </tr> <tr> <td>6.5</td> <td>1521</td> <td>1958</td> <td><a href="http://www.imdb.com/title/tt0051745/">Houseboat</a></td> </tr> <tr> <td>6.8</td> <td>1590</td> <td>1958</td> <td><a href="http://www.imdb.com/title/tt0051773/">Indiscreet</a></td> </tr> <tr> <td>5.5</td> <td>328</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050599/">Kiss Them for Me</a></td> </tr> <tr> <td>5.3</td> <td>501</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050858/">The Pride and the Passion</a></td> </tr> <tr> <td>7.2</td> <td>4655</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050105/">An Affair to Remember</a></td> </tr> <tr> <td>7.5</td> <td>8567</td> <td>1955</td> <td><a href="http://www.imdb.com/title/tt0048728/">To Catch a Thief</a></td> </tr> <tr> <td>5.5</td> <td>303</td> <td>1953</td> <td><a href="http://www.imdb.com/title/tt0045706/">Dream Wife</a></td> </tr> <tr> <td>7.1</td> <td>2054</td> <td>1952</td> <td><a href="http://www.imdb.com/title/tt0044916/">Monkey Business</a></td> </tr> <tr> <td>6.3</td> <td>214</td> <td>1952</td> <td><a href="http://www.imdb.com/title/tt0045102/">Room for One More</a></td> </tr> <tr> <td>7.4</td> <td>1052</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0043915/">People Will Talk</a></td> </tr> <tr> <td>6.3</td> <td>314</td> <td>1950</td> <td><a href="http://www.imdb.com/title/tt0042352/">Crisis</a></td> </tr> <tr> <td>6.9</td> <td>1635</td> <td>1949</td> <td><a href="http://www.imdb.com/title/tt0041498/">I Was a Male War Bride</a></td> </tr> <tr> <td>6</td> <td>411</td> <td>1948</td> <td><a href="http://www.imdb.com/title/tt0040331/">Every Girl Should Be Married</a></td> </tr> <tr> <td>7.2</td> <td>2178</td> <td>1948</td> <td><a href="http://www.imdb.com/title/tt0040613/">Mr. Blandings Builds His Dream House</a></td> </tr> <tr> <td>7.5</td> <td>2671</td> <td>1947</td> <td><a href="http://www.imdb.com/title/tt0039190/">The Bishop’s Wife</a></td> </tr> <tr> <td>7.2</td> <td>1387</td> <td>1947</td> <td><a href="http://www.imdb.com/title/tt0039169/">The Bachelor and the Bobby-Soxer</a></td> </tr> <tr> <td>8.3</td> <td>15004</td> <td>1946</td> <td><a href="http://www.imdb.com/title/tt0038787/">Notorious</a></td> </tr> <tr> <td>6.1</td> <td>504</td> <td>1946</td> <td><a href="http://www.imdb.com/title/tt0038776/">Night and Day</a></td> </tr> <tr> <td>6.3</td> <td>314</td> <td>1944</td> <td><a href="http://www.imdb.com/title/tt0037135/">None But the Lonely Heart</a></td> </tr> <tr> <td>8</td> <td>15390</td> <td>1944</td> <td><a href="http://www.imdb.com/title/tt0036613/">Arsenic and Old Lace</a></td> </tr> <tr> <td>5.8</td> <td>112</td> <td>1944</td> <td><a href="http://www.imdb.com/title/tt0037150/">Once Upon a Time</a></td> </tr> <tr> <td>7.2</td> <td>973</td> <td>1943</td> <td><a href="http://www.imdb.com/title/tt0035799/">Destination Tokyo</a></td> </tr> <tr> <td>7.2</td> <td>453</td> <td>1943</td> <td><a href="http://www.imdb.com/title/tt0036174/">Mr. Lucky</a></td> </tr> <tr> <td>6.3</td> <td>403</td> <td>1942</td> <td><a href="http://www.imdb.com/title/tt0035151/">Once Upon a Honeymoon</a></td> </tr> <tr> <td>7.7</td> <td>1042</td> <td>1942</td> <td><a href="http://www.imdb.com/title/tt0035417/">The Talk of the Town</a></td> </tr> <tr> <td>7.6</td> <td>4717</td> <td>1941</td> <td><a href="http://www.imdb.com/title/tt0034248/">Suspicion</a></td> </tr> <tr> <td>7</td> <td>1126</td> <td>1941</td> <td><a href="http://www.imdb.com/title/tt0034012/">Penny Serenade</a></td> </tr> <tr> <td>8.1</td> <td>14383</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0032904/">The Philadelphia Story</a></td> </tr> <tr> <td>6.2</td> <td>105</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0032612/">The Howards of Virginia</a></td> </tr> <tr> <td>7.2</td> <td>1685</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0029284/">My Favorite Wife</a></td> </tr> <tr> <td>8</td> <td>9692</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0032599/">His Girl Friday</a></td> </tr> <tr> <td>6.9</td> <td>446</td> <td>1939</td> <td><a href="http://www.imdb.com/title/tt0031477/">In Name Only</a></td> </tr> <tr> <td>7.5</td> <td>1828</td> <td>1939</td> <td><a href="http://www.imdb.com/title/tt0031762/">Only Angels Have Wings</a></td> </tr> <tr> <td>7.6</td> <td>2972</td> <td>1939</td> <td><a href="http://www.imdb.com/title/tt0031398/">Gunga Din</a></td> </tr> <tr> <td>7.8</td> <td>2243</td> <td>1938</td> <td><a href="http://www.imdb.com/title/tt0030241/">Holiday</a></td> </tr> <tr> <td>8</td> <td>12761</td> <td>1938</td> <td><a href="http://www.imdb.com/title/tt0029947/">Bringing Up Baby</a></td> </tr> <tr> <td>7.9</td> <td>2719</td> <td>1937</td> <td><a href="http://www.imdb.com/title/tt0028597/">The Awful Truth</a></td> </tr> <tr> <td>6.6</td> <td>181</td> <td>1937</td> <td><a href="http://www.imdb.com/title/tt0029675/">The Toast of New York</a></td> </tr> <tr> <td>7.4</td> <td>1354</td> <td>1937</td> <td><a href="http://www.imdb.com/title/tt0029682/">Topper</a></td> </tr> <tr> <td>5.6</td> <td>56</td> <td>1937</td> <td><a href="http://www.imdb.com/title/tt0029761/">When You’re in Love</a></td> </tr> <tr> <td>5.9</td> <td>39</td> <td>1936</td> <td><a href="http://www.imdb.com/title/tt0028486/">Wedding Present</a></td> </tr> <tr> <td>6.1</td> <td>313</td> <td>1936</td> <td><a href="http://www.imdb.com/title/tt0027286/">The Amazing Quest of Ernest Bliss</a></td> </tr> <tr> <td>6.3</td> <td>218</td> <td>1936</td> <td><a href="http://www.imdb.com/title/tt0028330/">Suzy</a></td> </tr> <tr> <td>6.2</td> <td>49</td> <td>1936</td> <td><a href="http://www.imdb.com/title/tt0027357/">Big Brown Eyes</a></td> </tr> <tr> <td>6.1</td> <td>597</td> <td>1935</td> <td><a href="http://www.imdb.com/title/tt0027067/">Sylvia Scarlett</a></td> </tr> <tr> <td>4.9</td> <td>39</td> <td>1935</td> <td><a href="http://www.imdb.com/title/tt0026607/">The Last Outpost</a></td> </tr> <tr> <td>6.1</td> <td>33</td> <td>1935</td> <td><a href="http://www.imdb.com/title/tt0027221/">Wings in the Dark</a></td> </tr> <tr> <td>6.4</td> <td>23</td> <td>1935</td> <td><a href="http://www.imdb.com/title/tt0026315/">Enter Madame</a></td> </tr> <tr> <td>4.9</td> <td>25</td> <td>1934</td> <td><a href="http://www.imdb.com/title/tt0025363/">Ladies Should Listen</a></td> </tr> <tr> <td>5.4</td> <td>44</td> <td>1934</td> <td><a href="http://www.imdb.com/title/tt0025351/">Kiss and Make-Up</a></td> </tr> <tr> <td>6.1</td> <td>124</td> <td>1934</td> <td><a href="http://www.imdb.com/title/tt0024906/">Born to Be Bad</a></td> </tr> <tr> <td>6.5</td> <td>37</td> <td>1934</td> <td><a href="http://www.imdb.com/title/tt0025880/">Thirty Day Princess</a></td> </tr> <tr> <td>6.4</td> <td>301</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0023753/">Alice in Wonderland</a></td> </tr> <tr> <td>7.1</td> <td>424</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0024166/">I’m No Angel</a></td> </tr> <tr> <td>5.3</td> <td>26</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0024048/">Gambling Ship</a></td> </tr> <tr> <td>7</td> <td>105</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0023973/">The Eagle and the Hawk</a></td> </tr> <tr> <td>5.9</td> <td>34</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0024781/">The Woman Accused</a></td> </tr> <tr> <td>6.7</td> <td>762</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0024548/">She Done Him Wrong</a></td> </tr> <tr> <td>6.3</td> <td>34</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0023169/">Madame Butterfly</a></td> </tr> <tr> <td>6.2</td> <td>30</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0023028/">Hot Saturday</a></td> </tr> <tr> <td>7.2</td> <td>618</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0022698/">Blonde Venus</a></td> </tr> <tr> <td>5.6</td> <td>54</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0022814/">Devil and the Deep</a></td> </tr> <tr> <td>5.9</td> <td>37</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0023213/">Merrily We Go to Hell</a></td> </tr> <tr> <td>5.2</td> <td>52</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0022387/">Singapore Sue</a></td> </tr> <tr> <td>6.3</td> <td>20</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0023479/">Sinners in the Sun</a></td> </tr> <tr> <td>6.9</td> <td>37</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0023584/">This Is the Night</a></td> </tr> </tbody> </table> <h2 id="audrey-hepburn-movies">Audrey Hepburn movies</h2> <table> <thead> <tr> <th>Rating</th> <th>Votes</th> <th>Year</th> <th>Name</th> </tr> </thead> <tbody> <tr> <td>6.4</td> <td>2457</td> <td>1976</td> <td><a href="http://www.imdb.com/title/tt0075147/">Robin and Marian</a></td> </tr> <tr> <td>7.8</td> <td>4936</td> <td>1967</td> <td><a href="http://www.imdb.com/title/tt0062467/">Wait Until Dark</a></td> </tr> <tr> <td>7.4</td> <td>1878</td> <td>1967</td> <td><a href="http://www.imdb.com/title/tt0062407/">Two for the Road</a></td> </tr> <tr> <td>7.3</td> <td>2495</td> <td>1966</td> <td><a href="http://www.imdb.com/title/tt0060522/">How to Steal a Million</a></td> </tr> <tr> <td>7.8</td> <td>16442</td> <td>1964</td> <td><a href="http://www.imdb.com/title/tt0058385/">My Fair Lady</a></td> </tr> <tr> <td>5.8</td> <td>970</td> <td>1964</td> <td><a href="http://www.imdb.com/title/tt0058453/">Paris - When It Sizzles</a></td> </tr> <tr> <td>8</td> <td>13093</td> <td>1963</td> <td><a href="http://www.imdb.com/title/tt0056923/">Charade</a></td> </tr> <tr> <td>7.4</td> <td>1768</td> <td>1961</td> <td><a href="http://www.imdb.com/title/tt0054743/">The Children’s Hour</a></td> </tr> <tr> <td>7.7</td> <td>17252</td> <td>1961</td> <td><a href="http://www.imdb.com/title/tt0054698/">Breakfast at Tiffany’s</a></td> </tr> <tr> <td>6.8</td> <td>974</td> <td>1960</td> <td><a href="http://www.imdb.com/title/tt0054428/">The Unforgiven</a></td> </tr> <tr> <td>7.5</td> <td>1716</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0053131/">The Nun’s Story</a></td> </tr> <tr> <td>5.1</td> <td>375</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0052864/">Green Mansions</a></td> </tr> <tr> <td>7.3</td> <td>1658</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050658/">Love in the Afternoon</a></td> </tr> <tr> <td>7</td> <td>2617</td> <td>1957</td> <td><a href="http://www.imdb.com/title/tt0050419/">Funny Face</a></td> </tr> <tr> <td>6.6</td> <td>1231</td> <td>1955</td> <td><a href="http://www.imdb.com/title/tt0049934/">War and Peace</a></td> </tr> <tr> <td>7.7</td> <td>8236</td> <td>1954</td> <td><a href="http://www.imdb.com/title/tt0047437/">Sabrina</a></td> </tr> <tr> <td>8</td> <td>13601</td> <td>1953</td> <td><a href="http://www.imdb.com/title/tt0046250/">Roman Holiday</a></td> </tr> <tr> <td>6.4</td> <td>49</td> <td>1952</td> <td><a href="http://www.imdb.com/title/tt0044014/">The Secret People</a></td> </tr> <tr> <td>5.2</td> <td>32</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0043865/">Nous irons à Monte Carlo</a></td> </tr> <tr> <td>5.1</td> <td>26</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0044225/">Young Wives’ Tale</a></td> </tr> <tr> <td>7.9</td> <td>2602</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0044829/">The Lavender Hill Mob</a></td> </tr> <tr> <td>7</td> <td>147</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0043727/">Laughter in Paradise</a></td> </tr> <tr> <td>5.4</td> <td>20</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0043884/">One Wild Oat</a></td> </tr> <tr> <td>4.7</td> <td>20</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0043818/">Monte Carlo Baby</a></td> </tr> </tbody> </table> <h2 id="al-pacino-movies">Al Pacino movies</h2> <table> <thead> <tr> <th>Rating</th> <th>Votes</th> <th>Year</th> <th>Name</th> </tr> </thead> <tbody> <tr> <td>6.1</td> <td>6358</td> <td>2005</td> <td><a href="http://www.imdb.com/title/tt0417217/">Two for the Money</a></td> </tr> <tr> <td>7.2</td> <td>5368</td> <td>2004</td> <td><a href="http://www.imdb.com/title/tt0379889/">The Merchant of Venice</a></td> </tr> <tr> <td>6.5</td> <td>19214</td> <td>2003</td> <td><a href="http://www.imdb.com/title/tt0292506/">The Recruit</a></td> </tr> <tr> <td>6.2</td> <td>11123</td> <td>2002</td> <td><a href="http://www.imdb.com/title/tt0258153/">S1m0ne</a></td> </tr> <tr> <td>7.2</td> <td>31120</td> <td>2002</td> <td><a href="http://www.imdb.com/title/tt0278504/">Insomnia</a></td> </tr> <tr> <td>7.6</td> <td>102</td> <td>2000</td> <td><a href="http://www.imdb.com/title/tt0118852/">Chinese Coffee</a></td> </tr> <tr> <td>6.4</td> <td>26493</td> <td>1999</td> <td><a href="http://www.imdb.com/title/tt0146838/">Any Given Sunday</a></td> </tr> <tr> <td>7.9</td> <td>39006</td> <td>1999</td> <td><a href="http://www.imdb.com/title/tt0140352/">The Insider</a></td> </tr> <tr> <td>7.1</td> <td>37111</td> <td>1997</td> <td><a href="http://www.imdb.com/title/tt0118971/">The Devil’s Advocate</a></td> </tr> <tr> <td>7.6</td> <td>29318</td> <td>1997</td> <td><a href="http://www.imdb.com/title/tt0119008/">Donnie Brasco</a></td> </tr> <tr> <td>6.1</td> <td>5750</td> <td>1996</td> <td><a href="http://www.imdb.com/title/tt0115907/">City Hall</a></td> </tr> <tr> <td>8</td> <td>64528</td> <td>1995</td> <td><a href="http://www.imdb.com/title/tt0113277/">Heat</a></td> </tr> <tr> <td>6.1</td> <td>713</td> <td>1995</td> <td><a href="http://www.imdb.com/title/tt0114753/">Two Bits</a></td> </tr> <tr> <td>7.6</td> <td>20888</td> <td>1993</td> <td><a href="http://www.imdb.com/title/tt0106519/">Carlito’s Way</a></td> </tr> <tr> <td>7.5</td> <td>23352</td> <td>1992</td> <td><a href="http://www.imdb.com/title/tt0105323/">Scent of a Woman</a></td> </tr> <tr> <td>7.8</td> <td>15873</td> <td>1992</td> <td><a href="http://www.imdb.com/title/tt0104348/">Glengarry Glen Ross</a></td> </tr> <tr> <td>6.3</td> <td>5459</td> <td>1991</td> <td><a href="http://www.imdb.com/title/tt0101912/">Frankie and Johnny</a></td> </tr> <tr> <td>7.4</td> <td>35075</td> <td>1990</td> <td><a href="http://www.imdb.com/title/tt0099674/">The Godfather: Part III</a></td> </tr> <tr> <td>5.7</td> <td>13293</td> <td>1990</td> <td><a href="http://www.imdb.com/title/tt0099422/">Dick Tracy</a></td> </tr> <tr> <td>7.9</td> <td>68</td> <td>1990</td> <td><a href="http://www.imdb.com/title/tt0097769/">The Local Stigmatic</a></td> </tr> <tr> <td>6.6</td> <td>7199</td> <td>1989</td> <td><a href="http://www.imdb.com/title/tt0098273/">Sea of Love</a></td> </tr> <tr> <td>4.5</td> <td>1406</td> <td>1985</td> <td><a href="http://www.imdb.com/title/tt0089913/">Revolution</a></td> </tr> <tr> <td>8</td> <td>51894</td> <td>1983</td> <td><a href="http://www.imdb.com/title/tt0086250/">Scarface</a></td> </tr> <tr> <td>5.7</td> <td>1292</td> <td>1982</td> <td><a href="http://www.imdb.com/title/tt0083598/">Author! Author!</a></td> </tr> <tr> <td>5.6</td> <td>1938</td> <td>1980</td> <td><a href="http://www.imdb.com/title/tt0080569/">Cruising</a></td> </tr> <tr> <td>7.1</td> <td>4040</td> <td>1979</td> <td><a href="http://www.imdb.com/title/tt0078718/">…And Justice for All</a></td> </tr> <tr> <td>8.1</td> <td>22859</td> <td>1975</td> <td><a href="http://www.imdb.com/title/tt0072890/">Dog Day Afternoon</a></td> </tr> <tr> <td>9</td> <td>104479</td> <td>1974</td> <td><a href="http://www.imdb.com/title/tt0071562/">The Godfather: Part II</a></td> </tr> <tr> <td>7.6</td> <td>9924</td> <td>1973</td> <td><a href="http://www.imdb.com/title/tt0070666/">Serpico</a></td> </tr> <tr> <td>7</td> <td>1718</td> <td>1973</td> <td><a href="http://www.imdb.com/title/tt0070643/">Scarecrow</a></td> </tr> <tr> <td>9.1</td> <td>184538</td> <td>1972</td> <td><a href="http://www.imdb.com/title/tt0068646/">The Godfather</a></td> </tr> <tr> <td>6.9</td> <td>1620</td> <td>1971</td> <td><a href="http://www.imdb.com/title/tt0067549/">The Panic in Needle Park</a></td> </tr> <tr> <td>6.6</td> <td>180</td> <td>1969</td> <td><a href="http://www.imdb.com/title/tt0064651/">Me, Natalie</a></td> </tr> </tbody> </table> <h2 id="ingrid-bergman-movies">Ingrid Bergman movies</h2> <table> <thead> <tr> <th>Rating</th> <th>Votes</th> <th>Year</th> <th>Name</th> </tr> </thead> <tbody> <tr> <td>8</td> <td>2005</td> <td>1978</td> <td><a href="http://www.imdb.com/title/tt0077711/">Höstsonaten</a></td> </tr> <tr> <td>7.2</td> <td>5902</td> <td>1974</td> <td><a href="http://www.imdb.com/title/tt0071877/">Murder on the Orient Express</a></td> </tr> <tr> <td>6.7</td> <td>1499</td> <td>1969</td> <td><a href="http://www.imdb.com/title/tt0064117/">Cactus Flower</a></td> </tr> <tr> <td>6.8</td> <td>1590</td> <td>1958</td> <td><a href="http://www.imdb.com/title/tt0051773/">Indiscreet</a></td> </tr> <tr> <td>7.1</td> <td>1492</td> <td>1956</td> <td><a href="http://www.imdb.com/title/tt0048947/">Anastasia</a></td> </tr> <tr> <td>6.2</td> <td>402</td> <td>1948</td> <td><a href="http://www.imdb.com/title/tt0040491/">Joan of Arc</a></td> </tr> <tr> <td>8.3</td> <td>15004</td> <td>1946</td> <td><a href="http://www.imdb.com/title/tt0038787/">Notorious</a></td> </tr> <tr> <td>7.4</td> <td>1364</td> <td>1945</td> <td><a href="http://www.imdb.com/title/tt0037536/">The Bells of St. Mary’s</a></td> </tr> <tr> <td>6.2</td> <td>222</td> <td>1945</td> <td><a href="http://www.imdb.com/title/tt0038053/">Saratoga Trunk</a></td> </tr> <tr> <td>7.6</td> <td>7240</td> <td>1945</td> <td><a href="http://www.imdb.com/title/tt0038109/">Spellbound</a></td> </tr> <tr> <td>7.8</td> <td>3865</td> <td>1944</td> <td><a href="http://www.imdb.com/title/tt0036855/">Gaslight</a></td> </tr> <tr> <td>7.1</td> <td>1535</td> <td>1943</td> <td><a href="http://www.imdb.com/title/tt0035896/">For Whom the Bell Tolls</a></td> </tr> <tr> <td>8.8</td> <td>89653</td> <td>1942</td> <td><a href="http://www.imdb.com/title/tt0034583/">Casablanca</a></td> </tr> <tr> <td>6.7</td> <td>1265</td> <td>1941</td> <td><a href="http://www.imdb.com/title/tt0033553/">Dr. Jekyll and Mr. Hyde</a></td> </tr> </tbody> </table> <h2 id="howard-hawks-movies">Howard Hawks movies</h2> <table> <thead> <tr> <th>Rating</th> <th>Votes</th> <th>Year</th> <th>Name</th> </tr> </thead> <tbody> <tr> <td>6.5</td> <td>1501</td> <td>1970</td> <td><a href="http://www.imdb.com/title/tt0066301/">Rio Lobo</a></td> </tr> <tr> <td>7.5</td> <td>3466</td> <td>1966</td> <td><a href="http://www.imdb.com/title/tt0061619/">El Dorado</a></td> </tr> <tr> <td>5.5</td> <td>169</td> <td>1965</td> <td><a href="http://www.imdb.com/title/tt0059641/">Red Line 7000</a></td> </tr> <tr> <td>6.9</td> <td>853</td> <td>1964</td> <td><a href="http://www.imdb.com/title/tt0058324/">Man’s Favorite Sport?</a></td> </tr> <tr> <td>7.2</td> <td>2177</td> <td>1962</td> <td><a href="http://www.imdb.com/title/tt0056059/">Hatari!</a></td> </tr> <tr> <td>7.9</td> <td>9973</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0053221/">Rio Bravo</a></td> </tr> <tr> <td>6.4</td> <td>612</td> <td>1955</td> <td><a href="http://www.imdb.com/title/tt0048283/">Land of the Pharaohs</a></td> </tr> <tr> <td>7.1</td> <td>3676</td> <td>1953</td> <td><a href="http://www.imdb.com/title/tt0045810/">Gentlemen Prefer Blondes</a></td> </tr> <tr> <td>7.2</td> <td>340</td> <td>1952</td> <td><a href="http://www.imdb.com/title/tt0044981/">O. Henry’s Full House</a></td> </tr> <tr> <td>7.1</td> <td>2054</td> <td>1952</td> <td><a href="http://www.imdb.com/title/tt0044916/">Monkey Business</a></td> </tr> <tr> <td>7.1</td> <td>606</td> <td>1952</td> <td><a href="http://www.imdb.com/title/tt0044419/">The Big Sky</a></td> </tr> <tr> <td>7.4</td> <td>3926</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0044121/">The Thing from Another World</a></td> </tr> <tr> <td>6.9</td> <td>1635</td> <td>1949</td> <td><a href="http://www.imdb.com/title/tt0041498/">I Was a Male War Bride</a></td> </tr> <tr> <td>7.1</td> <td>427</td> <td>1948</td> <td><a href="http://www.imdb.com/title/tt0040820/">A Song Is Born</a></td> </tr> <tr> <td>7.9</td> <td>5541</td> <td>1948</td> <td><a href="http://www.imdb.com/title/tt0040724/">Red River</a></td> </tr> <tr> <td>8.3</td> <td>14099</td> <td>1946</td> <td><a href="http://www.imdb.com/title/tt0038355/">The Big Sleep</a></td> </tr> <tr> <td>8.1</td> <td>5937</td> <td>1944</td> <td><a href="http://www.imdb.com/title/tt0037382/">To Have and Have Not</a></td> </tr> <tr> <td>6.7</td> <td>100</td> <td>1943</td> <td><a href="http://www.imdb.com/title/tt0035757/">Corvette K-225</a></td> </tr> <tr> <td>5.5</td> <td>678</td> <td>1943</td> <td><a href="http://www.imdb.com/title/tt0036241/">The Outlaw</a></td> </tr> <tr> <td>7.1</td> <td>439</td> <td>1943</td> <td><a href="http://www.imdb.com/title/tt0035616/">Air Force</a></td> </tr> <tr> <td>7.8</td> <td>1604</td> <td>1941</td> <td><a href="http://www.imdb.com/title/tt0033373/">Ball of Fire</a></td> </tr> <tr> <td>8.1</td> <td>3244</td> <td>1941</td> <td><a href="http://www.imdb.com/title/tt0034167/">Sergeant York</a></td> </tr> <tr> <td>8</td> <td>9692</td> <td>1940</td> <td><a href="http://www.imdb.com/title/tt0032599/">His Girl Friday</a></td> </tr> <tr> <td>7.5</td> <td>1828</td> <td>1939</td> <td><a href="http://www.imdb.com/title/tt0031762/">Only Angels Have Wings</a></td> </tr> <tr> <td>8</td> <td>12761</td> <td>1938</td> <td><a href="http://www.imdb.com/title/tt0029947/">Bringing Up Baby</a></td> </tr> <tr> <td>6.9</td> <td>271</td> <td>1936</td> <td><a href="http://www.imdb.com/title/tt0027459/">Come and Get It</a></td> </tr> <tr> <td>6.9</td> <td>144</td> <td>1936</td> <td><a href="http://www.imdb.com/title/tt0026191/">Ceiling Zero</a></td> </tr> <tr> <td>6.7</td> <td>246</td> <td>1935</td> <td><a href="http://www.imdb.com/title/tt0026097/">Barbary Coast</a></td> </tr> <tr> <td>7.9</td> <td>711</td> <td>1934</td> <td><a href="http://www.imdb.com/title/tt0025919/">Twentieth Century</a></td> </tr> <tr> <td>6.6</td> <td>194</td> <td>1934</td> <td><a href="http://www.imdb.com/title/tt0025948/">Viva Villa!</a></td> </tr> <tr> <td>6.5</td> <td>139</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0024475/">The Prizefighter and the Lady</a></td> </tr> <tr> <td>6.1</td> <td>160</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0024675/">Today We Live</a></td> </tr> <tr> <td>6.4</td> <td>142</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0023594/">Tiger Shark</a></td> </tr> <tr> <td>6.3</td> <td>158</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0022792/">The Crowd Roars</a></td> </tr> <tr> <td>7.9</td> <td>3775</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0023427/">Scarface</a></td> </tr> </tbody> </table> <h2 id="frank-capra-movies">Frank Capra movies</h2> <table> <thead> <tr> <th>Rating</th> <th>Votes</th> <th>Year</th> <th>Name</th> </tr> </thead> <tbody> <tr> <td>7.2</td> <td>1105</td> <td>1961</td> <td><a href="http://www.imdb.com/title/tt0055312/">Pocketful of Miracles</a></td> </tr> <tr> <td>6.1</td> <td>447</td> <td>1959</td> <td><a href="http://www.imdb.com/title/tt0052896/">A Hole in the Head</a></td> </tr> <tr> <td>5.6</td> <td>229</td> <td>1951</td> <td><a href="http://www.imdb.com/title/tt0043633/">Here Comes the Groom</a></td> </tr> <tr> <td>5.7</td> <td>112</td> <td>1950</td> <td><a href="http://www.imdb.com/title/tt0042893/">Riding High</a></td> </tr> <tr> <td>7.4</td> <td>602</td> <td>1948</td> <td><a href="http://www.imdb.com/title/tt0040834/">State of the Union</a></td> </tr> <tr> <td>8.6</td> <td>54216</td> <td>1946</td> <td><a href="http://www.imdb.com/title/tt0038650/">It’s a Wonderful Life</a></td> </tr> <tr> <td>8</td> <td>15390</td> <td>1944</td> <td><a href="http://www.imdb.com/title/tt0036613/">Arsenic and Old Lace</a></td> </tr> <tr> <td>7.5</td> <td>2493</td> <td>1941</td> <td><a href="http://www.imdb.com/title/tt0033891/">Meet John Doe</a></td> </tr> <tr> <td>8.3</td> <td>16247</td> <td>1939</td> <td><a href="http://www.imdb.com/title/tt0031679/">Mr. Smith Goes to Washington</a></td> </tr> <tr> <td>7.9</td> <td>4303</td> <td>1938</td> <td><a href="http://www.imdb.com/title/tt0030993/">You Can’t Take It with You</a></td> </tr> <tr> <td>7.7</td> <td>2914</td> <td>1937</td> <td><a href="http://www.imdb.com/title/tt0029162/">Lost Horizon</a></td> </tr> <tr> <td>7.9</td> <td>3355</td> <td>1936</td> <td><a href="http://www.imdb.com/title/tt0027996/">Mr. Deeds Goes to Town</a></td> </tr> <tr> <td>6.2</td> <td>187</td> <td>1934</td> <td><a href="http://www.imdb.com/title/tt0024916/">Broadway Bill</a></td> </tr> <tr> <td>8.2</td> <td>11222</td> <td>1934</td> <td><a href="http://www.imdb.com/title/tt0025316/">It Happened One Night</a></td> </tr> <tr> <td>7.5</td> <td>542</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0024240/">Lady for a Day</a></td> </tr> <tr> <td>7.2</td> <td>348</td> <td>1933</td> <td><a href="http://www.imdb.com/title/tt0023814/">The Bitter Tea of General Yen</a></td> </tr> <tr> <td>7.3</td> <td>164</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0022626/">American Madness</a></td> </tr> <tr> <td>6.4</td> <td>85</td> <td>1932</td> <td><a href="http://www.imdb.com/title/tt0022905/">Forbidden</a></td> </tr> <tr> <td>6.8</td> <td>456</td> <td>1931</td> <td><a href="http://www.imdb.com/title/tt0022268/">Platinum Blonde</a></td> </tr> <tr> <td>7.2</td> <td>234</td> <td>1931</td> <td><a href="http://www.imdb.com/title/tt0022153/">The Miracle Woman</a></td> </tr> </tbody> </table> <h2 id="disney-movies">Disney movies</h2> <table> <thead> <tr> <th>Rating</th> <th>Votes</th> <th>Year</th> <th>Name</th> </tr> </thead> <tbody> <tr> <td>-</td> <td>-</td> <td>1937</td> <td><a href="-">Snow White And The Seven Dwarfs</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1940</td> <td><a href="-">Pinocchio</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1940</td> <td><a href="-">Fantasia</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1941</td> <td><a href="-">The Reluctant Dragon</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1941</td> <td><a href="-">Dumbo</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1942</td> <td><a href="-">Bambi</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1943</td> <td><a href="-">Saludos Amigos</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1943</td> <td><a href="-">Victory Through Air Power</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1945</td> <td><a href="-">The Three Caballeros</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1946</td> <td><a href="-">Make Mine Music</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1946</td> <td><a href="-">Song Of The South</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1947</td> <td><a href="-">Fun & Fancy Free</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1948</td> <td><a href="-">Melody Time</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1949</td> <td><a href="-">So Dear To My Heart</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1949</td> <td><a href="-">The Adventures Of Ichabod And Mister Toad</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1950</td> <td><a href="-">Cinderella</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1951</td> <td><a href="-">Alice In Wonderland</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1953</td> <td><a href="-">Peter Pan</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1955</td> <td><a href="-">Lady And The Tramp</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1959</td> <td><a href="-">Sleeping Beauty</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1961</td> <td><a href="-">One Hundred And One Dalmatians</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1963</td> <td><a href="-">The Sword In The Stone</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1964</td> <td><a href="-">Mary Poppins</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1967</td> <td><a href="-">The Jungle Book</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1970</td> <td><a href="-">The Aristocats</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1971</td> <td><a href="-">Bedknobs And Broomsticks</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1973</td> <td><a href="-">Robin Hood</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1977</td> <td><a href="-">The Many Adventures Of Winnie The Pooh</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1977</td> <td><a href="-">The Rescuers</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1977</td> <td><a href="-">Pete’s Dragon</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1981</td> <td><a href="-">The Fox And The Hound</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1985</td> <td><a href="-">Return To Oz</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1985</td> <td><a href="-">The Black Cauldron</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1986</td> <td><a href="-">The Great Mouse Detective</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1988</td> <td><a href="-">Oliver & Company</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1989</td> <td><a href="-">The Little Mermaid</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1990</td> <td><a href="-">DuckTales: The Movie (Treasure Of The Lost Lamp)</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1990</td> <td><a href="-">The Rescuers Down Under</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1991</td> <td><a href="-">Beauty And The Beast</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1992</td> <td><a href="-">Aladdin</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1994</td> <td><a href="-">The Lion King</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1995</td> <td><a href="-">A Goofy Movie</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1995</td> <td><a href="-">Pocahontas</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1996</td> <td><a href="-">James And The Giant Peach</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1996</td> <td><a href="-">The Hunchback Of Notre Dame</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1997</td> <td><a href="-">Hercules</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1998</td> <td><a href="-">Mulan</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1999</td> <td><a href="-">Doug’s 1st Movie</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1999</td> <td><a href="-">Tarzan</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1999</td> <td><a href="-">Fantasia 2000</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2000</td> <td><a href="-">The Tigger Movie</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2000</td> <td><a href="-">Dinosaur</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2000</td> <td><a href="-">The Emperor’s New Groove</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2001</td> <td><a href="-">Recess: School’s Out</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2001</td> <td><a href="-">Atlantis: The Lost Empire</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2002</td> <td><a href="-">Return To Never Land</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2002</td> <td><a href="-">Lilo & Stitch</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2002</td> <td><a href="-">Treasure Planet</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2003</td> <td><a href="-">The Jungle Book 2</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2003</td> <td><a href="-">Piglet’s BIG Movie</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2003</td> <td><a href="-">Brother Bear</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2004</td> <td><a href="-">Teacher’s Pet</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2004</td> <td><a href="-">Home On The Range</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2005</td> <td><a href="-">Pooh’s Heffalump Movie</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2005</td> <td><a href="-">Chicken Little</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2005</td> <td><a href="-">The Chronicles Of Narnia: The Lion, The Witch And The Wardrobe</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2005</td> <td><a href="-">Fraidy Cat</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2006</td> <td><a href="-">The Wild</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2007</td> <td><a href="-">Meet The Robinsons</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2007</td> <td><a href="-">Enchanted</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2007</td> <td><a href="-">A Christmas Carol</a></td> </tr> </tbody> </table> <h2 id="pixar-movies">Pixar movies</h2> <table> <thead> <tr> <th>Rating</th> <th>Votes</th> <th>Year</th> <th>Name</th> </tr> </thead> <tbody> <tr> <td>-</td> <td>-</td> <td>1995</td> <td><a href="-">Toy Story</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1998</td> <td><a href="-">A Bug’s Life</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>1999</td> <td><a href="-">Toy Story 2</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2001</td> <td><a href="-">Monsters, Inc.</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2003</td> <td><a href="-">Finding Nemo</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2004</td> <td><a href="-">The Incredibles</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2005</td> <td><a href="-">A Bug’s Life II</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2006</td> <td><a href="-">Cars</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2007</td> <td><a href="-">Ratatouille</a></td> </tr> <tr> <td>-</td> <td>-</td> <td>2007</td> <td><a href="-">Ray Gun</a></td> </tr> </tbody> </table> <h2 id="other-movies-to-see">Other movies to see</h2> <table> <thead> <tr> <th>Rating</th> <th>Votes</th> <th>Year</th> <th>Name</th> </tr> </thead> <tbody> <tr> <td>7.8</td> <td>9004</td> <td>1962</td> <td><a href="http://www.imdb.com/title/tt0056197/">The Longest Day</a></td> </tr> <tr> <td>7.8</td> <td>33786</td> <td>1991</td> <td><a href="http://www.imdb.com/title/tt0101414/">Beauty and the Beast</a></td> </tr> <tr> <td>7.8</td> <td>48940</td> <td>2001</td> <td><a href="http://www.imdb.com/title/tt0230600/">The Others</a></td> </tr> <tr> <td>7.8</td> <td>38293</td> <td>1990</td> <td><a href="http://www.imdb.com/title/tt0099348/">Dances with Wolves</a></td> </tr> <tr> <td>7.7</td> <td>8054</td> <td>2006</td> <td><a href="http://www.imdb.com/title/tt0443543/">The Illusionist</a></td> </tr> <tr> <td>7.6</td> <td>30627</td> <td>1989</td> <td><a href="http://www.imdb.com/title/tt0098635/">When Harry Met Sally…</a></td> </tr> <tr> <td>7.5</td> <td>16445</td> <td>2003</td> <td><a href="http://www.imdb.com/title/tt0329575/">Seabiscuit</a></td> </tr> <tr> <td>7.4</td> <td>25291</td> <td>1997</td> <td><a href="http://www.imdb.com/title/tt0119229/">Grosse Pointe Blank</a></td> </tr> <tr> <td>7.1</td> <td>16656</td> <td>2003</td> <td><a href="http://www.imdb.com/title/tt0313542/">Runaway Jury</a></td> </tr> <tr> <td>7</td> <td>4929</td> <td>1980</td> <td><a href="http://www.imdb.com/title/tt0080661/">Dressed to Kill</a></td> </tr> <tr> <td>7</td> <td>5106</td> <td>1981</td> <td><a href="http://www.imdb.com/title/tt0082085/">Blow Out</a></td> </tr> <tr> <td>7</td> <td>29891</td> <td>1998</td> <td><a href="http://www.imdb.com/title/tt0122690/">Ronin</a></td> </tr> <tr> <td>6.8</td> <td>6526</td> <td>1989</td> <td><a href="http://www.imdb.com/title/tt0097027/">Casualties of War</a></td> </tr> <tr> <td>6.6</td> <td>9335</td> <td>1987</td> <td><a href="http://www.imdb.com/title/tt0093886/">Roxanne</a></td> </tr> <tr> <td>6.6</td> <td>796</td> <td>1963</td> <td><a href="http://www.imdb.com/title/tt0057426/">The Prize</a></td> </tr> <tr> <td>6.5</td> <td>534</td> <td>1995</td> <td><a href="http://www.imdb.com/title/tt0109034/">Above Suspicion</a></td> </tr> <tr> <td>6.1</td> <td>632</td> <td>1996</td> <td><a href="http://www.imdb.com/title/tt0116635/">Infinity</a></td> </tr> </tbody> </table> <hr> <h2 id="comments">Comments</h2>  <ul> <li><strong>Raja</strong> <em>28 Feb 2007 1:14 am</em>: This is cool stuff…Hats Off</li> </ul>  </article> </main></body></html>