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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.
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.
On the analytics side, EmberLM competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how EmberLM performed against the three products that launched closest to it on the same day.
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.
For a complete overview of EmberLM including community comment highlights and product details, visit the product overview.
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.