Lectu
Track your reading. No ads, no accounts, no subscription.
What it does
Lectu is a beautiful, private library for readers. Track what you read, arrange your shelves your way and see the map of your reading year. Import from Goodreads in a minute. No accounts, no ads, no tracking — and one payment, forever.
Lectu es el diario de lectura para iOS que trata tus libros como objetos, no como filas de una hoja de cálculo. Sin anuncios, sin feed social, sin ruido. Privada y local-first.
Lectu trata tus libros como lo que son —objetos preciosos, no filas de una hoja de cálculo—. Sigue tu progreso, redescubre tu estantería y comparte tu año lector. Sin anuncios. Sin feed. Sin ruido. Tipografía de editorial, portadas cuidadas y una cinta de papel plegado que marca tu progreso. Da gusto abrirla. Nada de perfiles públicos ni rastreadores. Tus lecturas viven en tu dispositivo y se sincronizan por tu iCloud. Un resumen mensual para compartir, un quiz sobre tu propia colección, tu estantería como en una librería. Cosas que no verás en otras apps. Empieza gratis. Y si te enamoras, Pro es un pago único : lo compras una vez y es tuyo para siempre. Sin suscripciones, sin sorpresas.…from lectuapp.com
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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.
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