A C Compiler written with help of Claude

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For fun, I wrote a c compiler (non-optimizing) in Java targeting modern C (C23) using claude. I developed a c shell similar to jshell in java. The compiler also bundles a built in an assembler for x86. A linker is planned for end-to-end compilation. There is still a lot of work in progress but I wanted to share the project early for feedback. I spent around $400 in AI credits so far and it took over a week on and off of working on it. I drive the architecture of the compiler and verify the AI implementation with a large test suite. It can compile and run lua (all test passing) and curl (partially). Cheers!

Visit product View on Hacker NewsSep 12, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, using · Missing: mac, agents, macos

79%79% 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

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: lua, io · Missing: https docs, excited, just released

67%67% 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

39%39% 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

24%24% 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

19%19% 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.

Incorrect prediction on native model

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