OptiQra
AI-powered website optimization that actually fixes issues
What it does
What if a website audit didn’t just tell you what’s broken—but fixed it for you? OptiQra is an open-source AI website optimizer that automatically finds, fixes, and improves your website across SEO, AEO/GEO, accessibility, performance, and content—then validates the improvements in real time. Stop guessing, Start upgrading right now no sign up required completely free with OptiQra
A powerful, open-source diagnostic tool for analyzing and improving website health across multiple dimensions.
Paste a URL. We check your SEO, speed, accessibility, and conversion paths — then show you exactly what to fix. We'll scan every HTML, JSX/TSX, Vue, Svelte, and Angular file we find (Next.js, Nuxt, Vite/CRA, SvelteKit, Angular, or plain static/vanilla JS) — and report what it finds — right in your browser, nothing kept on our servers after. Audit only looks — it detects the same issues Auto-fix would touch and reports them, without changing or downloading anything. Switch to Auto-fix any time to applyfrom optiqra.vercel.app
More dev tools this month
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Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com

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.
Dev tools · 1d ago · opentrailpaper.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