Aditya Kumar Saroj

We launched Traccia on Product Hunt yesterday and finished #6 Product of the Day.

But honestly, the ranking isn't what stayed with me.

It was the support from the community.

Everyone's shipping agents. Few teams have a clean answer for what happens after the demo works.

Tool calls go live. Budgets get fuzzy. Compliance asks for evidence you can't reconstruct from logs. Evals live in one tool, traces in another, and "governance" is still a Notion doc someone updates after an incident.

We're building Traccia around a simple loop for production agents:

In July 2025, Replit s AI agent deleted a production database containing data on 1,200+ executives and 1,190+ companies despite an explicit code freeze. Replit later acknowledged the incident and shipped additional safeguards.

It s a good example of why we think observing an agent after something goes wrong isn t enough.

With Traccia, you can define runtime policies around agent execution for example, which tools an agent is allowed to use, how many retries/tool calls it can make, or how long it can run.