Signalpad
The feature adoption platform for product led teams
What it does
SignalPad is a feature-adoption platform. Drop in one script tag to deliver in-app updates, attach guided walkthroughs to any release, and get an adoption funnel for each one: Reach → Open → Adopted. GitHub Sync drafts your updates straight from merged PRs. Free forever, no card.
Signalpad connects the moment you ship a feature to the moment a user adopts it. In-app delivery, guided walkthroughs, and adoption analytics — in one platform.
Announce an update, walk users through it, and watch who actually adopts. One script tag, one data model. Not a changelog. A changelog tells your users you shipped. It never tells you if anyone opened it, found the feature, or actually used it. Pushed to a /changelog nobody opens, or an email archived in three seconds. They read “New: Voice Notes” but can’t find the button, so they never try it. Views and clicks tell you nothing. You never learn if the feature got used. Source: Pendo Feature Adoption Report, aggregated across 615 product accounts. Deliver it, guide users to it, and prove it worked — every release sharing one record, so you’re never guessing whether the feature landed.…from signalpad.app
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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 · 16d ago · simedw.com