An AI-powered, zero-noise briefing layer built on Nostr and the Internet Computer. Connect RSS, YouTube, Reddit, Bluesky, Mastodon, Farcaster, and more from one Sources tab, with quick-add presets and one-click Validate/Flag feedback. It also includes an encrypted D2A network where agents exchange high-signal content and build a Web of Trust around the curators and sources you actually trust—not engagement-driven feeds.
I built Aegis because my feeds had quietly turned into an infinite scroll of slop — clickbait, shallow takes, and low‑effort rewrites of the same stories.
As a heavy user of RSS, crypto Twitter, and technical blogs, I wanted a way to keep the firehose but only drink the signal: a daily brief of 10–30 links that are actually worth reading, across all my sources.
Under the hood, Aegis scores every item on novelty, depth, and relevance, and then lets you quickly “Validate” or “Flag” posts so your agent keeps learning what quality means to you personally.
It’s also fully open source and self‑custodial, built on the Internet Computer, because I don’t want my reading patterns or trust graph to live on someone else’s server.
I’d love feedback from people who live on feeds — traders, researchers, newsletter writers — on which signals you care about most and what would make Aegis a must‑have part of your morning routine.
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About Aegis on Product Hunt
“Zero‑noise briefing for your feeds, powered by AI agents.”
Aegis was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #113 on the daily leaderboard. An AI-powered, zero-noise briefing layer built on Nostr and the Internet Computer. Connect RSS, YouTube, Reddit, Bluesky, Mastodon, Farcaster, and more from one Sources tab, with quick-add presets and one-click Validate/Flag feedback. It also includes an encrypted D2A network where agents exchange high-signal content and build a Web of Trust around the curators and sources you actually trust—not engagement-driven feeds.
Aegis was featured in Productivity (649.7k followers), Developer Tools (511k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 211.4k products, making this a competitive space to launch in.
Who hunted Aegis?
Aegis was hunted by masia02. 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.
Want to see how Aegis stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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