Digital Exhaust
Exhaust I “emit”: Bank statements Blog posts Browser history ChatGPT / Claude / Gemini history Cloud usage (billing, usage, storage, activity) Codex / Copilot / Claude Code logs Command line history Google Workspace (Email, Calendar, Tasks, Drive, Keep, etc.) GitHub commits Google Fit data Google Location data Google Meet/Teams/Zoom/Phone/WhatsApp/F2F call recordings + transcripts Search history (Google, Maps, YouTube, Amazon, Netflix, etc.) LinkedIn contacts List of files accessed on Linux Mobile OS location data Notes (things I learned, LLMs, about people, etc.) Phone/WhatsApp call logs Photos, music and videos RSS feeds SMS/text message history Tasks lists Transport usage (Uber, Ola, flights, bus/train) Utility usage/bills WhatsApp chats YouTube history Sources to Consider Collected from billions of users: Cell tower connection logs (carrier-level) Social media activity (Facebook, Instagram, TikTok, X, LinkedIn) Wi-Fi connection history App install/uninstall history Screen time and app usage duration Contact lists synced to cloud Credit/debit card transactions Device identifiers and fingerprints IP address logs (virtually every service) Keyboard/typing patterns (Gboard, SwiftKey) Clipboard history Push notification interactions Biometric authentication logs (Face ID, fingerprint) Hundreds of millions: Streaming watch/listen history (Netflix, Spotify, Prime Video) E-commerce browsing and purchase history Food delivery orders (Swiggy, Zomato, DoorDash) Ride-sharing trip history (Uber, Ola, Lyft) Smart speaker voice recordings Fitness wearable data (steps, heart rate, sleep, SpO2) Gaming activity and achievement logs Password manager access logs Smart TV viewing data (including ACR - automatic content recognition) Tens of millions: Smart home device logs (thermostats, cameras, locks) Toll road/FASTag usage Public transit card taps Parking app data Loyalty program transactions Medical/patient portal records Education platform activity (Google Classroom, Canvas) Dating app swipes and messages Job application tracking Nutrition/meal logging Smaller but significant: DNA/genetic testing data Vehicle telematics (connected cars) Court and legal filings Property transaction records Insurance claims history Also: Device identifiers & telemetry (device model, OS version, language/locale, time zone, IPs, carrier, crash logs, performance stats, app analytics) App install list + app usage (what’s installed, first/last opened, time spent, notifications received/opened, background activity) Contacts/address book (names, numbers/emails, relationship hints via interaction frequency) Location traces (multi-source): GPS + Wi-Fi SSIDs + Bluetooth beacons + cell towers + IP-based location Wi-Fi + network metadata (known networks, connection times, sometimes MAC addresses; plus home router logs) Advertising identifiers & ad events (mobile ad ID, attribution links, ad impressions/clicks, conversion events) Keyboard + input signals (telemetry-level) (typing speed, autocorrect usage, language switching; usually not raw text, but still behavioral) Camera roll / gallery metadata (timestamps, geotags, device, faces/objects inferred, albums/shared items) Cloud photo backups & “memories” features (what got backed up, searched, shared, edited) Browser history + web tracking (URLs, downloads, cookies, trackers/pixels, referrers, autofill usage, saved passwords) Search history (Google/Bing/DuckDuckGo; plus in-app search inside Amazon/YouTube/Maps/etc.) Maps navigation & mobility (routes, commute patterns, saved places, reviews, “visited” inferences) Email metadata + content (senders, subjects, threads, attachments, newsletter subscriptions, receipts) Calendar (meetings, locations, attendees, recurring routines) Notes & documents (personal notes, highlights, OCR’d text from images, document edits/version history) Messaging apps (WhatsApp/Telegram/iMessage/Signal): chats, groups, media, reactions; plus call logs inside the app Social graph signals (who you follow, who you interact with, DMs, blocks/mutes, relationship strength via engagement) Music/podcast history (listening time, skips, playlists, favorites) E-commerce activity (browsing, carts, wishlists, purchases, returns, delivery addresses) Payment & wallet metadata (Apple Pay/Google Pay tokens, transaction notifications, loyalty cards, transit cards) Bank statements (aggregated view) (merchant categories, recurring bills, salary cadence, travel patterns) Utility & telecom bills/usage (electricity/water trends; mobile data usage; roaming events) Fitness & health telemetry (steps, HR, sleep, workouts, weight logs, menstrual tracking where applicable) Bluetooth proximity ecosystem (smartwatch pairing logs, car Bluetooth, earbuds; sometimes “nearby device” history) Smart home device logs (speakers, lights, thermostats, cameras, doorbells: motion events, voice commands, schedules) Smart TV / streaming logs (what was watched, when, on which profile/device) Ride-hailing & delivery (pickup/dropoff points, order history, tipping) Travel systems (boarding passes, airline apps, hotel bookings, immigration e-gates in some places) Work identity + access logs (SSO logins, badge access, VPN, device posture checks, MDM telemetry) Collaboration tools (Slack/Teams: messages, reactions, meeting attendance, search queries) File access trails on devices (recent files, Spotlight/Windows Search indexing, thumbnail caches) Clipboard history (on-device managers; cross-device paste features) Command line / dev telemetry (shell history, editor telemetry, package installs, build logs) Source control (Git commits, PRs, issue comments, CI logs) Cloud usage (AWS/GCP/Azure: API calls, billing, resource graphs) — very “work-specific” RSS/news reading (feeds opened, dwell time, saves, shares) Other sources (might be duplicated): ...
