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CloudByte PMS
Turn AI coding usage into real engineering ROI
Claude Code, Copilot & Cursor analytics for engineering teams. See prompt-to-PR outcomes, cost per session, ghost seats, Security Prompt Leaked, Gaurdrail established or not and DORA-metric correlation — not just usage counts. BYOK, self-host, and air-gap ready.
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.
About CloudByte PMS on Product Hunt
“Turn AI coding usage into real engineering ROI”
CloudByte PMS was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #14 on the daily leaderboard. Claude Code, Copilot & Cursor analytics for engineering teams. See prompt-to-PR outcomes, cost per session, ghost seats, Security Prompt Leaked, Gaurdrail established or not and DORA-metric correlation — not just usage counts. BYOK, self-host, and air-gap ready.
On the analytics side, CloudByte PMS competes within Analytics, Developer Tools and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how CloudByte PMS performed against the three products that launched closest to it on the same day.
Who hunted CloudByte PMS?
CloudByte PMS was hunted by pranav lakhani. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of CloudByte PMS including community comment highlights and product details, visit the product overview.
pranav lakhani