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LocalCoder

LocalCoder

our hardware → the perfect local AI model in 60 seconds

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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 — HN benchmarks, Unsloth tables, llama.cpp results. Free: Top pick + Ollama commands Pro ($9): Alternatives, llama.cpp, IDE setup
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Launch tags:Open Source•Developer Tools•Artificial Intelligence
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What do you think? …

Jose Marquez
Maker
📌
Hey PH! I built LocalCoder because every Qwen3-Coder thread on HN has the same questions — 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 is a curated config matrix from real-world data. Covers Apple Silicon (M1–M4 Max), NVIDIA (RTX 3060–5090), and CPU-only setups. Would love feedback — especially if you have hardware that's not covered or a recommendation that seems off. 🙏