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LocalCoder matches your hardware to the best local coding AI model. Pick your platform (Apple Silicon, NVIDIA, or CPU), select your chip and memory, and get the right model, quantization, speed estimate, and copy-paste commands to start coding locally.
No more digging through Reddit threads. No more VRAM guesswork.
Built from real data ā HN benchmarks, Unsloth tables, llama.cpp results.
Free: Top pick + Ollama commands
Pro ($9): Alternatives, llama.cpp, IDE setup
LocalCoderour hardware ā the perfect local AI model in 60 seconds
Jose Marquezleft a comment
Hey PH! I built LocalCoder because every Qwen3-Coder thread on HN has the same questions ā which quant for my GPU? How much VRAM do I need? Ollama or llama.cpp? Instead of answering one person at a time, I compiled benchmark data from HN threads, Unsloth tables, and llama.cpp tests into an interactive tool. Tell it your hardware, get the answer. All client-side, no backend AI. The intelligence...
LocalCoderour hardware ā the perfect local AI model in 60 seconds
Hey Product Hunt! š
I built ASOF because I wanted to answer: "What was actually trending when X launched?"
We scrape Hacker News, GitHub Trending, Reddit, and Product Hunt every 30 minutes. So far we have 1,400+ snapshots.
You can:
šø Browse any snapshot to see what was hot
āļø Compare two dates to see what changed
š„ Track which topics are rising vs falling
Free tier gives you 7 days. Pro unlocks the full archive.
Still early - would love feedback on what would make this useful for you.
ASOFTrack tech trends before they blow up. Time-travel data.
Jose Marquezleft a comment
Hey Product Hunt! š I built ASOF because I wanted to answer a simple question: "What was actually trending when successful products launched?" We scrape Hacker News, GitHub Trending, Reddit, and Product Hunt every 30 minutes. So far we have 1,400+ snapshots. You can: šø Browse any snapshot to see what was hot āļø Compare two dates to see what changed š„ Track which topics are rising vs falling Free...
ASOFTrack tech trends before they blow up. Time-travel data.