Hi Product Hunt,

I m Sharad from India. I spend most of my time building AI products and experimenting with agent workflows, observability, and developer tooling.

Recently I ve been focused on how AI agents behave in production debugging failures, tracking costs, understanding handoffs between agents, and making these systems easier to operate reliably.

Currently building AgentPulse, an observability platform for AI agents and multi-agent workflows.

Cubicle, Agent Activity, Singularity and bmux are all, underneath the framing, a place to sit and watch agents do things.

That isn't a category forming, it's a symptom. You only build a cockpit when you don't trust the thing to fly itself. Nobody ever shipped a dashboard for watching their compiler.

Hey everyone,
I m currently building a small SaaS product, and I started thinking seriously about monitoring.
Most tools (Datadog, New Relic, etc.) feel built for larger teams.
Powerful, yes but also complex and expensive.
So I m curious:
What do you actually monitor in your small or solo SaaS?
Do you track uptime only?
Do you track latency?
Do you rely on logs?
At what point does monitoring start feeling like overkill?
I m trying to understand what is truly essential vs. what is just enterprise noise .
Not selling anything just genuinely curious how other indie builders approach this.
Would love to hear your setups.

I was recently talking with a group of founders, and we went around sharing tools we're using now. Posting my notes for our community here - would love to know what else people are using!

Voice AI toolkit:

- Vapi