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).
EmberLM
Test, compare, and ship LLM prompts without guessing.
EmberLM is a developer workspace for prompt engineering. Compare outputs across Claude, GPT-5, and Gemini side by side. Define eval rules to know when a response is good enough. Run regression tests to catch quality drops before production. Debug MCP servers with a visual inspector. Track cost per model, per prompt. When you're ready, deploy prompts to production with a one-line SDK and update them without redeploying your app. Postman for the AI era.
Hey Product Hunt! I'm Sai, founder of EmberLM. I was tired of the prompt development loop every AI developer knows: tweak a prompt, paste it into ChatGPT, paste it into Claude, eyeball the outputs, push to production, and hope nothing breaks. EmberLM replaces that with a real workspace. Run the same prompt across 9 models side by side and see cost, latency, and quality compared instantly. Set eval rules so "good enough" is a number, not a feeling. Run regressions against golden datasets when you change a prompt. When it's ready, tag it as prod and fetch it in your app with one line of code. The MCP debugger has been a surprise favorite. Paste a server URL, see every tool, test them, and inspect the full JSON-RPC traffic. Free tier gives you 25 calls to try everything. Would love your feedback.
No comment highlights available yet. Please check back later!
About EmberLM on Product Hunt
“Test, compare, and ship LLM prompts without guessing.”
EmberLM was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #144 on the daily leaderboard. EmberLM is a developer workspace for prompt engineering. Compare outputs across Claude, GPT-5, and Gemini side by side. Define eval rules to know when a response is good enough. Run regression tests to catch quality drops before production. Debug MCP servers with a visual inspector. Track cost per model, per prompt. When you're ready, deploy prompts to production with a one-line SDK and update them without redeploying your app. Postman for the AI era.
EmberLM was featured in SaaS (41.7k followers), Developer Tools (511.7k followers) and Artificial Intelligence (467.3k followers) on Product Hunt. Together, these topics include over 198.6k products, making this a competitive space to launch in.
Who hunted EmberLM?
EmberLM was hunted by Sai Ram Muthineni. 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 EmberLM stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sai Ram Muthineni
Hey Product Hunt! I'm Sai, founder of EmberLM.
I was tired of the prompt development loop every AI developer knows: tweak a prompt, paste it into ChatGPT, paste it into Claude, eyeball the outputs, push to production, and hope nothing breaks.
EmberLM replaces that with a real workspace. Run the same prompt across 9 models side by side and see cost, latency, and quality compared instantly. Set eval rules so "good enough" is a number, not a feeling. Run regressions against golden datasets when you change a prompt. When it's ready, tag it as prod and fetch it in your app with one line of code.
The MCP debugger has been a surprise favorite. Paste a server URL, see every tool, test them, and inspect the full JSON-RPC traffic.
Free tier gives you 25 calls to try everything. Would love your feedback.