Evidence Core
Build live analytics with coding agents
What it does
Evidence Core is an open source framework for building business intelligence applications with coding agents. Build your entire business intelligence platform as a repo of files, and deploy it anywhere, for free. Metrics, dashboards, reports and themes are all specified in code which you can validate, preview and serve using the Evidence CLI.
Evidence is an open source, code-based alternative to drag-and-drop BI tools. Build polished data products with just SQL and markdown.
BI as code so your team and their agents can build and ship analytics together. Weekly active teams grew 34% last quarter, from 1,113 to 1,492 — most of the gain landed after the April release. Done — added a target line at 1,600. You're at 1,492, about 93% of the way there. Pro-plan teams drove 78% of the gain. Activation held steady at 61% week over week. Churn fell to 2.1%, the lowest this year. Define your entire BI platform as code in a repo. Build, automate, and ship analytics with our editor or any coding agent. Reports and dashboards. Defined as Markdown files with SQL and components. Evidence Studio includes a complete development environment for your Evidence project. Nothing to…from evidence.dev
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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.
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