Knowing – an LLM tool built on concept hierarchies, not prompt-response
Hey HN! I've spent the past year full-time building Knowing, a tool for interacting with LLMs directly inside hierarchical structures instead of the usual prompt-response format. The idea started because I realized how much more intuitive it felt to build concept hierarchies continuously—no more endless copy-pasting or wondering how everything connects. The journey’s been a struggle. While I see huge potential in structuring AI interactions this way (writing books fast, planning projects, or organizing ideas), it’s been hard to pin down clear use cases in the market. I’m also working in near…
What it does
In the maker’s words, at launch
Hey HN! I've spent the past year full-time building Knowing, a tool for interacting with LLMs directly inside hierarchical structures instead of the usual prompt-response format. The idea started because I realized how much more intuitive it felt to build concept hierarchies continuously—no more endless copy-pasting or wondering how everything connects. The journey’s been a struggle. While I see huge potential in structuring AI interactions this way (writing books fast, planning projects, or organizing ideas), it’s been hard to pin down clear use cases in the market. I’m also working in near isolation on a small island in the Baltic Sea (born and raised here!), so any connections or feedback on direction would be a game-changer. I’d love feedback on a few things: - Does using structured hierarchies to interact with LLMs add value? - What use cases could resonate in the market? - Anyone here interested in helping me connect with others to bring this further? Try it here: https://knowing.app (100 free credits with sign-up) Docs: https://docs.knowing.app Demo video: https://knowing.se Thanks for any feedback or advice!
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