Show HN: Graph – turn your ChatGPT into AI-sorted RSS feeds(graph.cx)
graph.cx
Show HN: Graph – turn your ChatGPT into AI-sorted RSS feeds
https://www.graph.cx
3 comments
Nice work! To share some thoughts on the UX of Graph...
1. The visual design of the app feels largely different from other apps that I use, which is largely good. It's evoking an early internet aesthetic. To what degree were early social communities like MySpace an inspiration? 2. The other side of breaking from more modern UX patterns is that users might stumble or get slowed down. I had a harder time figuring out the UX of the chat inbox, likely because I was bringing iMessage style mental models to more of an AIM UX. 3. Onboarding of inputting ChatGPT derived preferences to quickly personalized was really smart and can imagine this could be the start of a new way to shortcut otherwise tedious onboarding preference collection 4. Did you consider making this an iOS app? I almost only read HN on my phone these days and would likely appreciate these more niche articles tailored towards learning compared to a standard news digest
1. The visual design of the app feels largely different from other apps that I use, which is largely good. It's evoking an early internet aesthetic. To what degree were early social communities like MySpace an inspiration? 2. The other side of breaking from more modern UX patterns is that users might stumble or get slowed down. I had a harder time figuring out the UX of the chat inbox, likely because I was bringing iMessage style mental models to more of an AIM UX. 3. Onboarding of inputting ChatGPT derived preferences to quickly personalized was really smart and can imagine this could be the start of a new way to shortcut otherwise tedious onboarding preference collection 4. Did you consider making this an iOS app? I almost only read HN on my phone these days and would likely appreciate these more niche articles tailored towards learning compared to a standard news digest
Great questions, ty!
1. The UI (for now at least) is definitely inspired by olds. Some have called it MySpace x StumbleUpon. 2. Agree going retro future has its pros and cons tho and the point about chat UI path dependency. We were in fact leaning more AIM/MSN Messenger w that, and are hoping it clicks more when we roll out Graph chat soon. 3. Glad the onboarding 0 - 100 clicked. Hope that saves time for folks. Fun fact is I wanted to build something like this years ago, but didn't see ppl having the time to hand type dozens, much less, 100 key interests or media likes. 4. For sure would love to make this a native mobile app. It's a hack but I've gotten far in using the iOS shortcut UX to make a shortcut app of it on my phone. Maybe this can be a holdover for some before we get opt-in email digests live.
Thanks for the great questions and checking it out!
1. The UI (for now at least) is definitely inspired by olds. Some have called it MySpace x StumbleUpon. 2. Agree going retro future has its pros and cons tho and the point about chat UI path dependency. We were in fact leaning more AIM/MSN Messenger w that, and are hoping it clicks more when we roll out Graph chat soon. 3. Glad the onboarding 0 - 100 clicked. Hope that saves time for folks. Fun fact is I wanted to build something like this years ago, but didn't see ppl having the time to hand type dozens, much less, 100 key interests or media likes. 4. For sure would love to make this a native mobile app. It's a hack but I've gotten far in using the iOS shortcut UX to make a shortcut app of it on my phone. Maybe this can be a holdover for some before we get opt-in email digests live.
Thanks for the great questions and checking it out!
Congrats on the launch! How is the homepage feed right now sorted? Is it by chronological order or is there a different type of logic (eg the topmost one is the most likely to be engaging)?
thanks! it's the latter. each post shown to a user hit the internet in the last 0-24 hours and has a signal rating between 0 and 1. so the ones are the top are more likely to match. evolving this soon, but for now we have a "super tag" feature that can be used to boost topics you like most. Thanks for checking things out!
This is clever...using embeddings to turn RSS from a source-following model into a topic-following one based on your daily LLM usage feels like the straightforward evolution of RSS. Have you considered adding a "serendipity slider" to occasionally inject high-quality off-topic content? One of RSS's hidden benefits was stumbling onto things outside your filter bubble.
hey, thank you! we have also thought about that! in "find" aka search, you'll see a button called "tumble" which just throws in a randomized search word, to help stumble upon something you wouldn't have otherwise.
ha I went into a rabbit hole on IMF yesterday, having not known a lot about it going in. thanks for checking this out!
ha I went into a rabbit hole on IMF yesterday, having not known a lot about it going in. thanks for checking this out!
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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