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Hilka — Thought Chains

Build trail of your thoughts and make correct decisions

Track and improve your thinking with a tree of thoughts: -Branch. Break a big, ambiguous decision into one-idea cards and fork as many directions as you want. -Prune with the reason attached. Kill some node and it stays as a struck-through tombstone carrying the reason you killed it -Honest status. Every card is todo/doing/done/dropped, a truthful picture of where the decision actually stand -AI-native. Via a remote MCP server, any assistant (Claude, ChatGPT, Codex) can build or prune the tree

Top comment

Hey Product Hunt 👋 I'm Sviat, the maker. I built Hilka because I kept re-arguing the same decisions with myself. I'd "decide" something- a direction for a project, whether to take an offer - then weeks later circle back to an option I'd already ruled out, rebuild the whole case for it, and slowly remember the exact reason I'd killed it the first time. I'd thrown away the reasoning, so dead ideas kept coming back looking new. So I made a lab notebook for decisions. You map a decision as a tree of one-idea cards. The part I care about: when you kill an option it doesnt get deleted - it stays on the tree, crossed out, with the reason you killed it written right on it. A notes app can't do that (a deleted line is gone, a kept line looks alive); here there's a "this is dead, and here's why" state. A few things fall out of that: • Kill-reasons expire - "no time for this yet." Later you scan the dead branches and revive the ones whose reason stopped being true, instead of re-deriving the argument. • Every card has a status (to do / doing / done / dropped), so the tree is an honest picture of where the decision actually stands. • It's AI-native: point any assistant (Claude, ChatGPT, Codex…) at it over MCP and watch it build - or prune - the tree straight into your account. You don't have to sign up to try it- there's a live, editable demo you can poke at right now → https://hilka.pages.dev/demo I built it for myself over a few months and it's honestly how I think now. One thing I'd love your take on: what's a decision you've re-made more than once because you forgot why you ruled the other options out? Trying to figure out if this is a me-problem or a many-of-us problem. I'll be in the comments all day — ask me anything 🙏

About Hilka — Thought Chains on Product Hunt

Build trail of your thoughts and make correct decisions

Hilka — Thought Chains was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #126 on the daily leaderboard. Track and improve your thinking with a tree of thoughts: -Branch. Break a big, ambiguous decision into one-idea cards and fork as many directions as you want. -Prune with the reason attached. Kill some node and it stays as a struck-through tombstone carrying the reason you killed it -Honest status. Every card is todo/doing/done/dropped, a truthful picture of where the decision actually stand -AI-native. Via a remote MCP server, any assistant (Claude, ChatGPT, Codex) can build or prune the tree

On the analytics side, Hilka — Thought Chains competes within Productivity, Open Source, Analytics and GitHub — topics that collectively have 938.2k followers on Product Hunt. The dashboard above tracks how Hilka — Thought Chains performed against the three products that launched closest to it on the same day.

Who hunted Hilka — Thought Chains?

Hilka — Thought Chains was hunted by Sviat. 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 Hilka — Thought Chains including community comment highlights and product details, visit the product overview.