Preseason – see which developer tools each LLM picks
Tracks which dev tools AI agents actually choose across thousands of prompts.
A lightweight script to detect AI traffic
Spots AI referrals when Google Analytics shows 'Direct'—but referrer-based detection is trivial to spoof.
E-commerce and SaaS founders who want to measure and optimize for AI-driven traffic
Google Analytics 4 · Amplitude · Mixpanel
Tracks which dev tools AI agents actually choose across thousands of prompts.
This is a link-in-bio take with a useful twist: per-page 'human score' from request fingerprinting, first-click tracking and referrer breakdowns give you more actionable signal than raw view counts. The UI and a Figma-style canvas feel well thought-out, but the idea lives in a crowded market and the fingerprinting/heuristic rules need clearer documentation and opt-out/privacy options before the analytics can be trusted widely.
Replaces gut-feel chaos picks with principled risk ranking: 9.8x faster weakness discovery.
The post actually delivers useful, concrete numbers — hour-by-hour hits, peak/plateau duration, and referral spread — plus the practical ops note that a home server behind Cloudflare survived ~60k visits. Good, pragmatic reading for anyone planning a Show HN drop; I wanted more on bot-filtering and raw data access or interactive charts, but the timeline and deployment notes are the real takeaways.
Live keystroke visibility beats Discord's typing indicators, but privacy tradeoffs remain unclear.
Not a proxy — optimizes Anthropic and OpenAI caching without adding latency or seeing your data.