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Today: 1,953 launches · Niche of the day: specialized calculation tools · See what launched today →

Find the best local LLM for your hardware, ranked by benchmarks

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HN · launched May 15, 2026 · 283 upvotes (top 2%) · 0 views

Niche: llm benchmarking tools · 84 launches, 1 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Search & retrieval
  • Prosumer
  • AI feature
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Yes This is an informational tool and directory that aggregates hardware specifications (VRAM, memory bandwidth) and model metadata (quantization, parameter sizes, benchmark scores) to recommend compatible open-source LLMs. A solo developer can vibe-code this frontend and calculation logic using static JSON data or simple scrapers in a couple of days.

Discussion

20 comments analyzed.

Competitors mentioned: llmfit (GitHub project for model selection), Qwen models (3.6-35B-A3B, 3.5-9B alternatives), Mistral 7B, Gemma 2

Concerns raised: Memory bandwidth estimates vary significantly between browsers (40-80GB/s overshoot), Poor accuracy for MoE models (underestimates feasibility), Definition of 'best' is oversimplified and doesn't account for task-specific strengths, LLM benchmarks lack real-world validity and are easily gamed by developers, Missing some recent models (Qwen3 Coder Next)

Feature requests: Pull sliding_window attention config from HuggingFace model configs, Better support for MoE model detection and performance estimation, Task-specific model recommendations instead of generic 'best' ranking, More comprehensive model coverage including latest releases

Competitors

Other products that read as similar to this one : 155 launches clear the similarity bar, closest 8 shown.

Attention rank: #5 of 156 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 198 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.