Upwip
Build products users actually love
What it does
Upwip is the all-in-one product suite for founders. Collect feedback, share your roadmap, publish changelogs, write blogs and docs, and support with live chat — all in one beautiful tool.
The all-in-one platform for fast-moving founders. Collect customer feedback, prioritize roadmaps, publish changelogs, write blogs, create docs, and support users with live chat.
The all-in-one platform to collect feedback, prioritize roadmaps, publish changelogs, write blogs, create docs, and support users with live chat. Replace 5 separate subscriptions with a single unified workspace for your customer feedback loop. Give users a clean space to submit ideas, upvote features, and discuss what matters most. Showcase planned, in-progress, and shipped features with real-time status updates. Share new features and automatically notify voters via email the moment you publish. Create beautiful user guides and help docs, searchable directly within the widget. Talk directly to active users with instant visitor context like browser, OS, and page. Publish release stories and…from upwip.com
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Open-source GTM skills for technical founders
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OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
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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