Most people still manage important prompts in chat history, docs, and text files. PingPrompt keeps everything in one place, tracks every change, and helps you iterate without losing what already works. Refine prompts faster with a built-in copilot, compare versions with visual diffs, and test improvements with confidence. Built for agencies, creators, no-code/low-code builders, and marketers who depend on prompts every day.
PingPrompt exists because prompts became critical to my work, but the way I was managing them didn’t scale.
They were scattered across ChatGPT history, Notion docs, Slack messages, and text files. Small changes happened constantly, but there was no clear history, no safe way to test improvements, and no real confidence in what was actually working. When I needed to improve something, I’d ask an AI to adjust the prompt. It would often rewrite the entire prompt, hallucinate, or alter the logic, even when I only needed a small tweak.
Since I was already using agentic IDEs for development, I tried to bring that workflow to prompts. I set up GitHub repos, used copilots for edits, and relied on diffs to track changes. But they were too complex for working with prompts, where adjustments are frequent, and the friction was too high for non-developers.
I then looked for dedicated prompt tools, but most focused on just storage, generation, or observability. None of them supported the full prompt lifecycle: editing, versioning, testing, and long-term maintenance.
So I built PingPrompt as the workspace I needed.
It combines fast, text-level editing, full version history with visual diffs, an inline copilot for precise edits, and a multi-LLM playground, all in one place.
You can track every change, compare versions side by side, connect your own API Keys and test prompt versions, parameters, and different AI models simultaneously, without breaking what already works.
This is the first version of PingPrompt. There’s still a lot to evolve, and I’m actively working on improving the app and releasing new features like team collaboration and APIs that integrate directly into real production workflows and applications.
I’m confident this tool helps people work with prompts in a more reliable and confident way.
Right now, in almost every project we build there are tons of prompts :) The problem is that they often get updated. So you have to update them once in the project and once in the app. But if you add a Git integration so the app automatically pulls prompts from the project, that would be quite convenient.
Hi Gabriel!
Wonderful setup! Congratulations for your launch.
I am assuming Pingprompt acts as a prompt repository for various channels of AI tools that we use.
Is this the primary use case for the same? If else, kindly provide appropriate use case any given scenario.
Version control for prompts makes sense—does the diff view show semantic changes or just text diffs?
This is so timely! I’ve been using Notion pages to organize my prompts, but it’s a mess when it comes to tracking version changes or iterating quickly. Having a dedicated space to manage everything without losing 'what already works' is a huge upgrade. Great job on the launch!
I've found when coding , that short prompts and then iterating is the best way... mostly because if i write a long perfected prompt... it neeeeeever becomes as my vision anyways. is it me that is bad at prompting or how do you think about that?
Okay, gotta say. This is really cool. Because I do save prompts in chats, whatsapp or docs which is quite tiresome. Congrats on the launch. @gabrielnsmnto Can't wait to try this out.
Congrats on the launch, Gabriel! What makes PingPrompt different from the many other prompt tools (free, open source, and paid)?
I'm curious who the audience would be for this? What's the use case? I ask because I use AI every day in my work (marketing) and for hobbies (vibe coding) and I haven't really found the need to save my prompts. My chats tend to be conversations with refinements over time rather than repeatable work.
Hey, Hunters 👋
I’m Gabriel, the founder of PingPrompt.
PingPrompt exists because prompts became critical to my work, but the way I was managing them didn’t scale.
They were scattered across ChatGPT history, Notion docs, Slack messages, and text files. Small changes happened constantly, but there was no clear history, no safe way to test improvements, and no real confidence in what was actually working. When I needed to improve something, I’d ask an AI to adjust the prompt. It would often rewrite the entire prompt, hallucinate, or alter the logic, even when I only needed a small tweak.
Since I was already using agentic IDEs for development, I tried to bring that workflow to prompts. I set up GitHub repos, used copilots for edits, and relied on diffs to track changes. But they were too complex for working with prompts, where adjustments are frequent, and the friction was too high for non-developers.
I then looked for dedicated prompt tools, but most focused on just storage, generation, or observability. None of them supported the full prompt lifecycle: editing, versioning, testing, and long-term maintenance.
So I built PingPrompt as the workspace I needed.
It combines fast, text-level editing, full version history with visual diffs, an inline copilot for precise edits, and a multi-LLM playground, all in one place.
You can track every change, compare versions side by side, connect your own API Keys and test prompt versions, parameters, and different AI models simultaneously, without breaking what already works.
This is the first version of PingPrompt. There’s still a lot to evolve, and I’m actively working on improving the app and releasing new features like team collaboration and APIs that integrate directly into real production workflows and applications.
I’m confident this tool helps people work with prompts in a more reliable and confident way.
Happy to answer questions and hear feedback.