This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Run your prompt across a dataset of test cases and get a scored report: average score, pass rate, and per-case reasoning that explains every failure. Compare versions to catch regressions. Deterministic, LLM-judge, and reference grading. 20 free credits to start.
I built Prompt Eval after going through Anthropic's Academy and realizing how much evaluation actually matters. A prompt can look fine on one try and still fall apart the moment you change the input, and most people (me included) never actually test that.
So I tried it on one of my own prompts. It scored 4.9 out of 10, zero percent pass rate. Changed one thing, being clear and direct about the output format, and it jumped to mostly 8 out of 10.
That's the whole idea: write a prompt, test it against real cases, fix what actually breaks, measure it again.
Everyone tests their code. Almost nobody tests their prompts.
Would love your feedback, especially the rough edges.
As soon as people understand how important evaluating system prompts is, their prompt engineering will go to a different level.
About Prompt Eval on Product Hunt
“Stop guessing if your prompt is good. Measure it.”
Prompt Eval was submitted on Product Hunt and earned 4 upvotes and 2 comments, placing #115 on the daily leaderboard. Run your prompt across a dataset of test cases and get a scored report: average score, pass rate, and per-case reasoning that explains every failure. Compare versions to catch regressions. Deterministic, LLM-judge, and reference grading. 20 free credits to start.
Prompt Eval was featured in SaaS (43.6k followers), Developer Tools (517.4k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 244.9k products, making this a competitive space to launch in.
Who hunted Prompt Eval?
Prompt Eval was hunted by Claudiu C. 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.
Want to see how Prompt Eval stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Claudiu C
I built Prompt Eval after going through Anthropic's Academy and realizing how much evaluation actually matters. A prompt can look fine on one try and still fall apart the moment you change the input, and most people (me included) never actually test that.
So I tried it on one of my own prompts. It scored 4.9 out of 10, zero percent pass rate. Changed one thing, being clear and direct about the output format, and it jumped to mostly 8 out of 10.
That's the whole idea: write a prompt, test it against real cases, fix what actually breaks, measure it again.
Everyone tests their code. Almost nobody tests their prompts.
Would love your feedback, especially the rough edges.