I explored a curated list of generative AI companies currently disrupting traditional SaaS incumbents in the martech space, focusing on how emerging AI tools are reshaping established software markets and categories.
I challenged several LLMs to generate funny Tamil puns ending in ".ai". While DeepSeek and Claude struggled with accuracy, Gemini captured the cultural nuance perfectly with clever wordplay like Tholl.ai (annoyance) and Kaval.ai (worry).
I learned why expert personas don't improve LLM accuracy, explored new AI insurance products, and developed a workflow to turn constraints into opportunities. I also looked into architecture advice processes and Zillow's algorithmic real estate failure.
I learned about JavaScript's Temporal object, appending hidden data to PDFs, and using embeddings for ML classification. I also explored AI-driven business models, including zero-employee companies, and how compute dominance shapes global AI power.
I used the Claude Code agent to search 24,000 Wikipedia entries for names starting and ending with "AI." In ten minutes, I identified ten individuals, including Aishwarya Rai and Ai Nagai, through automated pattern matching and scripting.
I learned about AI's accelerating pace, new business models like neofirms and AI rollups, and the shift from AI-generated commit messages. Discoveries included Smart TVs scraping data, Claude Code's steganography, and using Kaggle CLI via Codex for problem-solving.