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OpenBench
Benchmark local LLMs without living in the terminal.
Open-source desktop benchmarking for local LLMs. Run real workloads while tracking token speed, TTFT, VRAM, GPU temperature, context performance, and response quality.
Hey Product Hunt 👋
I'm Krish, a high school student who likes messing around with local AI and building random things that solve problems I run into.
OpenBench started because I kept wanting to compare local LLMs, but doing it meant having Ollama, a terminal, GPU monitoring, and a spreadsheet open at the same time.
So I built the tool I wanted.
OpenBench lets you run different workloads against local models while tracking things like token speed, TTFT, VRAM usage, and GPU temperature.
I've also been working on context testing, custom datasets, and LLM-as-a-judge so you can compare more than just raw tokens/sec.
It's built with Rust, Tauri, and React, and it's open source.
This is my first version, so I'm not pretending I've figured out the perfect way to benchmark local models yet. I'm mostly hoping people will try it, tell me what's useful, tell me what's pointless, and give me ideas for what I should build next.
If you use local LLMs, I'd love to hear what you think.
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About OpenBench on Product Hunt
“Benchmark local LLMs without living in the terminal.”
OpenBench was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #98 on the daily leaderboard. Open-source desktop benchmarking for local LLMs. Run real workloads while tracking token speed, TTFT, VRAM, GPU temperature, context performance, and response quality.
OpenBench was featured in Open Source (68.7k followers), Developer Tools (517.6k followers), Artificial Intelligence (476.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 235.4k products, making this a competitive space to launch in.
Who hunted OpenBench?
OpenBench was hunted by Krish Shah. 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.
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Krish Shah