Hey Product Hunt! 👋 I'm Pranav, founder of CloudByte PMS. we had Claude Code, Copilot, and Cursor usage climbing every month, but when someone asked "is this actually making us faster?" nobody had a real answer. Every tool showed its own usage stats — none of them connected a session to what it actually produced. So we built CloudByte PMS to close that gap. It sits alongside Claude Code, GitHub Copilot, and Cursor, and links every session to the outcome it produced — cost per PR, ghost seats nobody's using, DORA-metric correlation with AI-assisted commits. Not another "here's how many prompts you sent" dashboard. Security turned out to be just as big a problem — developers paste API keys, DB connection strings, and tokens into these tools constantly, and none of Claude Code, Copilot, or Cursor scan for that. CloudByte PMS runs real-time secret detection on every prompt and every response, in both directions, before anything reaches the AI provider — 40+ credential patterns, with severity tiers (Critical/High/Medium) so you can block transmission outright on cloud keys and DB creds, and just flag the lower-risk stuff. Our thinking changed a lot building this — we started as a simple usage tracker, and it only became genuinely useful once we added the commit/PR linkage and the security layer. Usage alone wasn't the question anyone actually cared about; ROI and risk were. Free for teams up to 5 developers, self-hosted and air-gapped options for teams that need it. Would love your feedback — especially if you're wrestling with the same "are we actually getting value from this" question on your own team.

CloudByte PMS

Turn AI coding usage into real engineering ROI

Turn AI coding usage into real engineering ROI