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HimitsuObfuscator – a lightweight LLVM-17 obfuscator for any Linux

Hacker News

HimitsuObfuscator – a lightweight LLVM-17 obfuscator for any Linux

It generates obfuscated binaries that run on various linux distributions (ubuntu, centos, etc.). It is a clang compiler based on llvm-17. Since it is based on a musl static build, it is lightweight and works well anywhere. Libraries that are rarely used for debugging or testing have been removed. An existing llvm based obfuscation tool has been improved. Strings within structures can now be encrypted, and bugs have been fixed. I created this for use with software called HimitsuShell.

Visit product View on Hacker NewsJul 30, 2026

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

44%44% 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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

25%25% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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