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🔥 Score 47.5
authentication • Confidence 38%

BenchMarkly: Local LLM Speed & Quality Analyzer

Users running LLMs locally struggle to evaluate multiple models because existing tools measure only speed or quality, not both, and lack integration with popular local runtimes like Ollama. BenchMarkly delivers a unified benchmark that runs in one pass across Ollama/LM Studio models, providing a side‑by‑side table of token‑rate, memory, cost, and quality scores so users can instantly pick the best model for their workload.

Quantitative Score Breakdown

complaint frequency
1.5
growth rate
9
competition density
10.5
monetization potential
14.25
technical feasibility
7.5
search interest
4.8

Evidence Signal (1)

Raw Posts
hn • r/hackernews

Comment on: Homebench – Benchmark local LLMs for speed, memory, and quality

Author here. I had a pile of models pulled locally and no way to answer "which of these is actually good, and what does it cost me in speed?" llama-bench gives you tok/s and nothing about output quality; lm-evaluation-harness gives you quality but isn't built around Ollama or LM Studio, which is what most people are actually running at home. So this measures both in one pass and puts them in one table.The part that turned out to be harder than expected was deciding what the numbers mean:tok/s sounds trivial until you pick a denominator. Prompt processing? Model load? I exclude both, use Ollama