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jev-bench
Open-source Jev benchmark: tested against frontier LLMs
An independent, reproducible benchmark of TypeSafe's Jev against openai/gpt-6-luna (cheap LLM) and openai/gpt-6-astra (frontier LLM). Tests accuracy, calibration, latency, and cost. All code is open source — run it yourself and verify the results.
I built this because I wanted to know how TypeSafe's Jev actually performs compared to top LLMs — not from marketing claims, but from reproducible tests. The results surprised me in several ways (Jev beats frontier models on calibration but not latency). All code is open source so you can run the same benchmark yourself and check my numbers.
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About jev-bench on Product Hunt
“Open-source Jev benchmark: tested against frontier LLMs”
jev-bench was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #149 on the daily leaderboard. An independent, reproducible benchmark of TypeSafe's Jev against openai/gpt-6-luna (cheap LLM) and openai/gpt-6-astra (frontier LLM). Tests accuracy, calibration, latency, and cost. All code is open source — run it yourself and verify the results.
jev-bench was featured in Developer Tools (520.4k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 115.9k products, making this a competitive space to launch in.
Who hunted jev-bench?
jev-bench was hunted by Pavel Ravvich. 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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Pavel Ravvich