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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 was inspired by Mozilla’s discontinued Orbit project. Orbit aimed to provide browser-based page summarization, but it relied on centralized API servers running Mistral 7B and stored summaries on the server through endpoints like store_result. Mozilla eventually discontinued the project.
So I decided to build Apogee from scratch, but with a local and privacy-focused approach. Apogee lets users summarize content using local LLMs, so their data stays on their device instead of being sent to or stored by a big company.
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About apogee on Product Hunt
“Summarize anything. On your own machine.”
apogee was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #156 on the daily leaderboard. 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 was featured in Open Source (68.8k followers), Artificial Intelligence (477.4k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 160.8k products, making this a competitive space to launch in.
Who hunted apogee?
apogee was hunted by Priyadarshi Annupam. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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