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Infinite Graph
Turn documents and ideas into a knowledge graph you explore
Infinite Graph turns documents, notes, and complex information into an explorable knowledge graph. Instead of another wall of AI text, it reveals relationships, preserves evidence, and surfaces opportunities you may have missed. With GPT-6 Astra, it can investigate complex sources, build explanation graphs, and propose new connections for you to verify, accept, or reject.
Hey Product Hunt — I’m the solo maker behind Infinite Graph.
I started building it because I kept running into the same problem: the more information I collected, the harder it became to understand how any of it actually fit together.
Folders preserve location. Search retrieves what you already know to look for. AI chat can summarize enormous amounts of information, but the result is usually more text — useful in the moment, difficult to preserve as a structure you can return to and reason with later.
Infinite Graph takes a different approach.
It turns documents, notes, and ideas into a visual knowledge graph where concepts remain connected to their context and evidence. The graph is meant to be something you can navigate, reorganize, and gradually build into a representation of what you know.
For this launch, I’ve been exploring a further question with GPT-6 Astra:
What if AI didn’t just answer questions about your knowledge, but helped you discover the questions and connections you hadn’t noticed?
Astra can investigate complex information, construct an explanation graph around what matters, and surface potential connections as Opportunities. Those suggestions don’t silently become facts: you can inspect the evidence and decide whether to accept, edit, or reject them.
That reflects the principle I’ve tried to keep throughout Infinite Graph:
AI assists. You decide.
I’m especially interested in feedback on where this becomes genuinely useful — research, learning, codebases, writing, or something I haven’t considered yet.
Thanks for taking a look.
About Infinite Graph on Product Hunt
“Turn documents and ideas into a knowledge graph you explore”
Infinite Graph was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #49 on the daily leaderboard. Infinite Graph turns documents, notes, and complex information into an explorable knowledge graph. Instead of another wall of AI text, it reveals relationships, preserves evidence, and surfaces opportunities you may have missed. With GPT-6 Astra, it can investigate complex sources, build explanation graphs, and propose new connections for you to verify, accept, or reject.
On the analytics side, Infinite Graph competes within Productivity, Artificial Intelligence and OpenAI Day — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Infinite Graph performed against the three products that launched closest to it on the same day.
Who hunted Infinite Graph?
Infinite Graph was hunted by Sehee Kim. 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.
For a complete overview of Infinite Graph including community comment highlights and product details, visit the product overview.
Sehee Kim