Remivu
Save why it mattered. Find it when it matters.
What it does
Remivu turns posts, videos and links from Instagram, TikTok, YouTube, LinkedIn and the web into a searchable personal memory. Share anything to Remivu, add why you saved it, and find it later using the words you naturally remember—not the original title.
Guarda vídeos y enlaces con el motivo que los hizo importantes. Save videos and links with the reason they mattered.
Ves algo. Dices por qué importa. Lo encuentras meses después, aunque olvides el título. Guarda Reels de Instagram, TikToks, vídeos de YouTube, posts de LinkedIn y cualquier enlace desde Compartir. Remivu conserva el contexto que te ayudará a volver. Comparte desde Instagram, TikTok, YouTube, LinkedIn o Safari. Añade una frase o díctala sin abandonar el momento. No necesitas el título exacto. Remivu combina tu porqué con el título, la descripción, la fuente, las categorías y lo visible en la miniatura. Remivu no descarga ni duplica el vídeo. Conserva el enlace original, su vista previa pública y el motivo por el que te importó. No. Remivu guarda el enlace original, la miniatura y los…from remivu.com
Does the same job
all alternatives →More growth this month
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.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