Pranjal

About

I’m interested in the messy middle between AI demos and AI systems teams can actually trust. Building Carbon because agents are becoming part of the team, and teams need a clear record of what they did, what they cost, where they failed, and whether the work was worth it. Thinking a lot about agents, analytics, ops, and accountability. Always happy to swap notes.

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Tastemaker
Tastemaker
Gone streaking
Gone streaking
Gone streaking 5
Gone streaking 5

Maker History

  • Carbon
    CarbonThe analytics layer of AI
    Jun 2026
  • šŸŽ‰
    Joined Product HuntJanuary 2nd, 2026

Forums

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6h ago

Carbon - The analytics layer of AI

Know exactly what your AI is doing and what it costs. Carbon captures every LLM and tool call in 2 lines of code and turns it into a queryable ledger — cost over time, spend by model, heaviest users, tool failures, where agents stall. Every provider, 1,000 events free.
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