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Acorn, a theorem prover with built-in AI

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Acorn, a theorem prover with built-in AI

For a while I've been interested in mathematical theorem proving. It just seems like the sort of thing that a computer should be able to do. Or at least to help check your math. But it's just hard to use theorem provers. Even for someone who has used regular programming languages. You typically have to remember many different theorems and tactics, even to prove "basic things" that people would usually just assert without explanation. Acorn is an attempt to fix this problem, to make a theorem prover that's as easy to use as a regular programming language. A "Python for theorem proving". Acorn includes an AI model, but a small one, that runs on your machine. The whole thing runs as a VS Code extension, so it's easy to install. If you've ever used a theorem prover before and found it interesting but annoyingly difficult, Acorn is for you. Check it out and I'd love to hear your feedback. Thanks!

Visit productView on Hacker NewsJan 28, 2025
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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, computer · Missing: agents, macos, agent
80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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