Harshit Sharma

Harshit Sharma

Building withOrbit

Forums

New blog post: "Top Free AI analytics tools" - the insight into affordable AI analytics solutions

I went over 40 tools in the directory and tried to find free options (spoiler, I kinda failed). Although no tool (apart from https://mindsdb.com/, which is open source) truly qualify to be called Free, there are some close options.

Imtiyaz •

25d ago

Building a great product is hard. Launching it well is even harder.

One thing I ve consistently seen with Product Hunt launches is that most teams don t fail because of the product. They struggle because they launch in isolation. No feedback loop. No prep support. No real conversations with people who have done it before.
That s why we re opening a new WhatsApp group inside TOPTeam: The Open Product Team focused entirely on Product Hunt launches.
This is a dedicated space where product builders help each other:
- Prepare for upcoming launches
- Share Product Hunt links and launch plans
- Exchange honest feedback on positioning, copy, and visuals
- Support fellow makers on launch day and beyond
No noise. No vanity metrics. Just builders helping builders launch better.
If you re planning a Product Hunt launch. Or thinking about one in the future. You re welcome to join.
Comment PH Support and I ll share the invite link.

Harshit Sharma•

27d ago

Built Orbit (withorbit.io)

Hey everyone I m Harshit, the founder of Orbit.

Orbit shows how AI actually behaves inside your product at the feature level. Instead of just model usage or token counts, you can see which features are slow, expensive, or failing in production using real runtime data.

If you re shipping AI in production, give it a try and see what your features are really doing.
visit: withorbit.io
PH Link: https://www.producthunt.com/prod...

Harshit Sharma•

1mo ago

Orbit AI - Feature-level AI observability using real runtime data

Orbit helps teams understand how AI behaves inside their product. Vendor dashboards show usage by model or API key. Orbit connects AI usage to product features using SDK-based runtime data. Track cost, latency, errors, and usage at a feature level — using real production data, not estimates.