Webrec
Session recording, heatmaps & analytics in one small SDK
What it does
Session recording, error tracking, heatmaps, and analytics in one lightweight SDK. Built for developers who care about performance and privacy. Stop stitching together separate vendors. Webrec ships session replay, frustration detection, analytics, heatmaps, surveys, and enterprise tooling in a single 147 KB SDK.
Understand how users experience your product with session recording, error tracking, and analytics.
Session replay, frustration detection, product analytics, heatmaps, and in-app surveys. One privacy-first SDK. Session replay, frustration detection, product analytics, heatmaps, and in-app surveys. One privacy-first SDK. Stop stitching together separate vendors. Webrec ships session replay, frustration detection, analytics, heatmaps, surveys, and enterprise tooling in a single 147 KB SDK. Watch every interaction with console logs, network inspector, AI summaries, and element inspect mode. Session replay, frustration detection, product analytics, heatmaps, and in-app surveys. One privacy-first SDK. Session replay, frustration detection, product analytics, heatmaps, and in-app surveys. One…from webrec.app
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More growth this month
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com