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Autotune Doctor
AI-guided LLVM phase-ordering doctor outperforming -O3
Standard compilers use fixed -O3 pipelines that miss workload-specific speedups due to the Phase-Ordering Problem. Autotune Doctor is an AI-guided CLI that discovers, validates, and mathematically proves custom LLVM pipelines outperforming -O3. Unlike research tools, it tests on real silicon, enforces bitwise correctness gates, validates with Welch's t-test (p<0.05), and exports drop-in CMake recipes and CI guards. Install via PyPI: pip install autotune-doctor
Hey Product Hunt! 👋 I built Autotune Doctor because standard compilers like Clang -O3 use a rigid, one-size-fits-all pass sequence that leaves performance on the table due to the compiler phase-ordering problem.
Autotune uses AI heuristics and genetic search to find, validate with bitwise correctness gates, and statistically prove custom LLVM pass pipelines tailored to your exact hardware.
It’s 100% open-source and available on PyPI (pip install autotune-doctor). Would love your feedback and thoughts!
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About Autotune Doctor on Product Hunt
“AI-guided LLVM phase-ordering doctor outperforming -O3”
Autotune Doctor was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #100 on the daily leaderboard. Standard compilers use fixed -O3 pipelines that miss workload-specific speedups due to the Phase-Ordering Problem. Autotune Doctor is an AI-guided CLI that discovers, validates, and mathematically proves custom LLVM pipelines outperforming -O3. Unlike research tools, it tests on real silicon, enforces bitwise correctness gates, validates with Welch's t-test (p<0.05), and exports drop-in CMake recipes and CI guards. Install via PyPI: pip install autotune-doctor
Autotune Doctor was featured in Open Source (68.8k followers), Developer Tools (519.8k followers), Artificial Intelligence (479k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 252.1k products, making this a competitive space to launch in.
Who hunted Autotune Doctor?
Autotune Doctor was hunted by Sandeep. 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.
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Sandeep