Launching today
n8n to prod
Ship n8n to prod. Pay if the tests pass.
8 followers
Ship n8n to prod. Pay if the tests pass.
8 followers
Production-grade your n8n workflow with a single click. n8n to prod fixes all your run failures and ensure that your workflow are stable, secure, and most importantly correct to what you intend it to do. You pay only when you get the result you need, no charges if it does not deliver the result it promised.
Payment Required
Launch Team
LoomHit record, hand off to AI
Promoted
Hey Product Hunt 👋 Roshan here.
I run a startup company and we use n8n a lot. It’s the most powerful tool on the market for quick automations and getting from 0-1 on a complete workflow buildout. However the issues come with using it in production.
We consistently face instances of false positive runs, race conditions creating duplicate entries, and worse, a token expiry on Friday that only gets caught on Monday. Due to these, we had to stop allowing n8n be used for mission critical / heavy use cases.
That’s why we built n8n.prod. It’s built off a comprehensive set of edge cases, tests and solution architect best practices. The tool automatically identifies and maps out solution to those issues. It gives you 2 options: fix them right there in n8n, or if it’s crucial enough - have it rebuilt as code and moved over into a full AWS production-grade flow.
You pay only when the workflow actually improves and passes all the test that proofs that your new workflow is stable. This migration is usually priced $5-50 per workflow.
Tell me the worst thing n8n has done to you in prod and I'll reply with how we'd test for it, and if we should add any other workflow automation tools!
pay only if tests pass is a bold pricing model. the whole thing depends on who writes the tests though, weak tests make every workflow look production ready
@igorblink Hey Igor, completely agree! We believe the world is naturally moving towards an outcome-based economy, and you're right! What would make that work is objective, rigorous, pre-agreed tests.
It is indeed challenging to define a pre-agreed "it works" in general. That's exactly why we're starting in a non-functional space where we have real performance numbers and metrics to hold things to. For each promised outcome, we would setup a mirror environment and replay your actual run history at a set rate, introduce some chaos to ensure stability, durability, and finally check that every event run lands correctly.
On top of that, we look at your workflows' existing failure logs, enrich them with an indexed list of the most common workflow failures, and have a solution architect vet the proposal before anything gets built. And if you want additional validations added, you can request them before submitting any request.