apogee
Summarize anything. On your own machine.
What it does
A Private, In-Browser AI Summarizer for your articles, videos, emails and more. Runs in-browser via WebGPU (Chrome), Transformers.js (Firefox), or your own local Ollama. Inspired by Mozilla's Orbit.
apogee is a private, offline-first browser extension that summarizes articles, videos, and PDFs entirely on your device using WebGPU, WebAssembly, or your own local Ollama.
apogee is a browser extension that summarizes articles, videos, PDFs, and long email threads entirely on your device. The model runs locally, so nothing you read is uploaded, logged, or used for training. Most summarizers quietly ship every page you visit to a server you cannot see. apogee takes the opposite path: the model runs on your own hardware, there is no backend to trust, and it keeps working with the network off. Whether it is a long read, a two-hour video, a pull request, a comment thread, or an inbox you have been avoiding, apogee reads it locally and hands you the gist. Summarize with a keyboard shortcut or a right-click. No copy and paste, no switching tabs, no popup to…from darshi1337.github.io
Does the same job
all alternatives →
AI Summary Helper - Summarize Articles2024 · ▲139Summarize in your language and style & read them on the go
More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.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 · 16d ago · simedw.com