We launched LeadProof after realizing 200 OK does not prove a workflow finished
Hi Indie Hackers,
I’m Talha, founder of Tynovate Studio, where I led the build of LeadProof.
The product started with one question:
If a webhook returns 200 OK, how do we know the actual business workflow finished?
A form can submit successfully and an automation platform can report a successful run. But the final CRM record can still be missing, late, duplicated or incomplete. The technical delivery succeeded. The intended business outcome did not.
LeadProof adds two verification checkpoints to an existing workflow:
1. A source event when the lead enters.
2. A destination confirmation when the intended system processes it.
LeadProof correlates both events and classifies the outcome as verified, missing, late, duplicate or invalid. Failed outcomes remain visible as incidents instead of disappearing inside execution logs.
The product is now live with a 14-day free trial, but customer learning is only beginning.
The question I am trying to answer now is whether automation agencies, SaaS teams and operations teams see enough value in final-outcome verification to add these two checkpoints.
If you manage form, automation and CRM workflows, do you verify the final destination independently, or mainly rely on the automation platform’s execution logs?
I would genuinely value honest feedback, including reasons why you would not use something like this.
The distinction between “workflow succeeded” and “business outcome happened” is interesting.
Curious whether teams see enough real failures here to justify adding another verification layer to workflows they already consider reliable.
That’s exactly the question we’re testing now...LeadProof is not meant for every automation. A simple, low-impact workflow probably doesn’t justify another verification layer.
The likely fit is a revenue critical, multi-step handoff where one missing, late, duplicate, or invalid outcome can cost more than the effort of adding verification.
Existing logs can show that an automation ran but not always that the expected destination record actually arrived, arrived on time and was complete. We’ve built the verification layer. Now we’re working with real teams to understand how frequently these failures happen and when that added visibility becomes valuable.
What type of workflow would cross that threshold for you?