Every team building with LLMs hits the same wall: prompts hardcoded in the codebase, no version history, no roll back when something breaks production. PromptOT fixes this. Build Prompts automatically in typed blocks. Version every change. Evaluate across GPT-4o, Claude, and Gemini. Ship via one API call - no deploy, no PR, no downtime, no switching on multiple tabs. Change a production prompt in 10 seconds without touching your codebase. Your code has GitHub. Your prompts now have PromptOT.
Hey PH - I am Satya, Founder one of the team behind PromptOT.
We built this after a real production incident. Someone on our team edited a system prompt directly in the codebase. The AI started hallucinating. We had no version history, no diff, no rollback. Four hours to find one changed line.
That should not happen. So we built the tool that prevents it.
PromptOT gives prompts the same infrastructure code already has- typed blocks, version control, evaluation, and API delivery. Change a production prompt in 10 seconds without a deploy.
We have been building this since November 2025. 16 signups in our first month. One team signed up and immediately invited their entire team of 5. That is the signal we are building on.
We are fully live, free to start, and genuinely want your feedback - especially if you have hit this problem before.
What does your team currently use to manage prompts? Curious to hear how others are solving this.
the block-based composition is lowkey genius — breaking prompts into role, context, instructions, guardrails separately instead of one giant messy string is such a better way to think about it. makes editing so much cleaner. just tried it and already can't imagine going back 😄 great job on this one!
Hey PH! Nishant here, Builder on the PromptOT team
The moment this became obvious to me was when a code review where one line had changed inside a prompt string buried in a service file. No one flagged it and It shipped. The behavior change took days to trace back.
We have decades of tooling to protect code from exactly this. Almost nothing exists for prompts.
PromptOT is our answer, it has version control, typed blocks, eval, and API delivery and even MCP server to connect with your AI coding agents. The same discipline we apply to code, applied to prompts.
If you're building AI products and have strong opinions on prompt management please reply. We're early and that feedback is everything.
Really clean UI. Most prompt tools I have tried feel like they were built by engineers for engineers. This actually looks like something a product manager could use too.
The GitHub comparison makes total sense. We version every line of code but our prompts have been living in a shared Google Doc with track changes. That ends today hopefully!
Congratulations! The problem is so real - we have a folder called prompts_final_v3_ACTUAL and I am not proud of it.
Congrats on the launch! How are you handling prompt versioning for teams working across multiple LLM provider
About PromptOT on Product Hunt
“Version, Evaluate & Publish your Prompt without any PR cycle”
PromptOT was submitted on Product Hunt and earned 13 upvotes and 11 comments, placing #37 on the daily leaderboard. Every team building with LLMs hits the same wall: prompts hardcoded in the codebase, no version history, no roll back when something breaks production. PromptOT fixes this. Build Prompts automatically in typed blocks. Version every change. Evaluate across GPT-4o, Claude, and Gemini. Ship via one API call - no deploy, no PR, no downtime, no switching on multiple tabs. Change a production prompt in 10 seconds without touching your codebase. Your code has GitHub. Your prompts now have PromptOT.
PromptOT was featured in API (98k followers), Developer Tools (511k followers) and Artificial Intelligence (466.2k followers) on Product Hunt. Together, these topics include over 161.9k products, making this a competitive space to launch in.
Who hunted PromptOT?
PromptOT was hunted by Satya Prakash. 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 PromptOT stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Satya Prakash
Hey PH - I am Satya, Founder one of the team behind PromptOT.
We built this after a real production incident. Someone on our team edited a system prompt directly in the codebase. The AI started hallucinating. We had no version history, no diff, no rollback. Four hours to find one changed line.
That should not happen. So we built the tool that prevents it.
PromptOT gives prompts the same infrastructure code already has - typed blocks, version control, evaluation, and API delivery. Change a production prompt in 10 seconds without a deploy.
We have been building this since November 2025. 16 signups in our first month. One team signed up and immediately invited their entire team of 5. That is the signal we are building on.
We are fully live, free to start, and genuinely want your feedback - especially if you have hit this problem before.
What does your team currently use to manage prompts? Curious to hear how others are solving this.