Graph – turn your ChatGPT into AI-sorted RSS feeds

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Graph – turn your ChatGPT into AI-sorted RSS feeds

TLDR: Graph is a self-tuned AI filter that sits between you and the social web, so you can see the most relevant content in one place each day. --- Hey everyone. A long time ago I stumbled on this Aaron Swartz documentary, The Internet's Own Boy. It’s a conviction-builder, and it got me thinking a lot about RSS feeds and information agency. Now in a time of LLMs and embeddings, my friend David and I have been building something we call Graph, which flips the OG structure of RSS from following rigid sources to following a configurable list of topics, and letting this "interest graph" act as the main driver of what content will show up in a feed. Our MVP learns keyword interests from ChatGPT or Claude and uses them as embedded signal magnets for content pulled into our giant macro RSS. So, Graph retrieves thousands of posts from the social web each day, tags them with topics, then gives each user a unique rank-ordered feed of content that aligns with their work, hobby, or research interests. Please try it out and let us know what you think! Here are some quick notes and disclaimers. -- Sources -- As of now we have only about 1600 sources, which pull in about 3000 posts each day from places like Hacker News, Reddit, Product Hunt, YouTube, X, Substack, research journals, blogs, and traditional media. The content for now skews techy, but throw it some curve balls! If you tell ChatGPT you’re a farmer from Nebraska, it will give you tags that match that, and Graph’s content will show mostly posts about corn futures, trucks, livestock trading, and so on. It’s kind of neat to see how your LLM describes you and to immediately convert that into an autonomous scouting tool. -- Social -- You’ll also find some social feature side quests. You can follow friends and see what Graph recommends them. You can also see what topic overlap you have with other people, from the LLMs as well as optional connectors like Spotify, YouTube, Goodreads, and Letterboxd. We’re working on a few chat features as well. Soon we’ll have a Graph agent to riff with who can DM you leads to your current thing or make an optional intro to someone with overlapping goals or interests. -- Recommendations -- We’d really love your UX feedback and source recommendations. We’re not sure what Graph’s UI is going to evolve into, so we’re open to any and all ideas on how to make it the right balance of info-dense and engaging. Importantly, we could use some help on content source recs so Graph is more diverse in coverage. We hope to add a few hundred new sources and social accounts to pull into Graph each week, ideally, mainly from user suggestions. When logged in you can see an Info page with more background on why we’re building Graph and what features are on the way. This has been a fun project so far, and Graph is already showing David and me posts about [social web browsers] and [digital identity mapping] we would have never tracked down in our normal X or YouTube dives. You’ve probably felt seen when a friend sends you a super relevant link to something you’re working on that you wouldn’t have found otherwise. That’s what we’re going for. We’ll take any feedback and thoughts. Let us know how accurately Graph’s tags are snapping to your content or not, and thanks so much for checking things out! Link for signup: https://www.graph.cx/login