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LLM Go
Which LLM fits your machine? LLM, Go!
Paste your specs, pick your task. LLM Go tells you the best local LLM for your machine, the right quant, the setup command, and whether cloud fallback is worth keeping.
Most local LLM guides give you a list of models and leave the rest to you. LLM Go does the decision for you.
You tell it your hardware (RAM, VRAM, OS, GPU), your task (coding assistant, agentic coding, repo Q&A, general chat), your quality priority, and your monthly AI spend. It returns:
- The best local model for your exact setup
- Which quant fits your memory
- Which runtime to use (Ollama, LM Studio, llama.cpp, MLX)
- The exact setup command
- A local vs. cloud cost verdict with break-even estimate
- Ranked alternatives with reasons to avoid
No login required for the core recommendation. Detect your hardware automatically or enter specs manually. Edit anything that looks wrong.
I kept running the same mental checklist every time a new model dropped: will this fit in 16GB? Which quant? Does Ollama support it yet? Is it actually better than what I'm already paying for? LLM Go automates that checklist.
Free at llmgo.dev. Supports 6 languages.
About LLM Go on Product Hunt
“Which LLM fits your machine? LLM, Go!”
LLM Go was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #103 on the daily leaderboard. Paste your specs, pick your task. LLM Go tells you the best local LLM for your machine, the right quant, the setup command, and whether cloud fallback is worth keeping.
On the analytics side, LLM Go competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how LLM Go performed against the three products that launched closest to it on the same day.
Who hunted LLM Go?
LLM Go was hunted by Lustermount. 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.
For a complete overview of LLM Go including community comment highlights and product details, visit the product overview.
Lustermount