Verifact
Open-source AI fact-checker for news & social media
What it does
Verifact is an open-source AI platform that fact-checks news, social media posts, and claims against verified public sources. Paste a link, text, or screenshot to get an instant credibility score, detailed evidence breakdown, and full source citations. Fast, unbiased, and transparent fact-checking for everyone.
Verifact verifică afirmații, articole și postări din social media pe baza unor surse publice verificabile. Open source, cu sursele citate integral.
Lipești o afirmație, un link sau un screenshot — primești un verdict, un scor și sursele pe care se sprijină. Verifact este un instrument românesc de verificare a informației (fact-checking) asistat de inteligență artificială. Îl folosești când vezi o știre, o afirmație sau o postare și vrei să afli dacă e adevărată înainte să o distribui. Introduci textul, linkul, captura de ecran sau clipul, iar Verifact caută în surse publice verificabile — fact-checkeri, presă și instituții oficiale — și îți dă un scor de veridicitate cu sursele citate integral, ca să pleci mai bine informat. Verifact este o platformă independentă și open source din România pentru verificarea informației. Analizează o…from verifact.ro
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Launched alongside, August 2026
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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