
Jellyfish.ai
GitHub Copilot
Cursor
AI session telemetry, prompt governance, and productivity analytics for Claude Code and other AI coding tools

Cursor
warp by spolu
GitHub Copilot
Google Antigravity
opencode
Codex 3.0 by OpenAI
Windsurf Editor
Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebase—no more context switching, just breakthrough results.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | getpms.cloudbyte.ai | anthropic.com |
| Pricing | — | |
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| Company | Startup from India · 10 - 19 employees · 2025 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


CloudByte PMS is the analytics and management layer for AI-assisted engineering teams. A lightweight sync agent captures every Claude Code, GitHub Copilot, and Cursor session — prompts, responses, tokens, commits, and machine health — and surfaces per-developer adoption, cost per session/PR,...
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What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


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Recommended for
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing CloudByte PMS and Claude Code.
CloudByte PMS's answer
CloudByte PMS is the analytics and management layer for AI-assisted engineering teams. A lightweight sync agent captures every Claude Code, GitHub Copilot, and Cursor session — prompts, responses, tokens, commits, and machine health — and surfaces it in one org-scoped dashboard with RBAC.
What no generic engineering-analytics tool gives you:
CloudByte PMS's answer
Platforms like Jellyfish measure engineering output broadly; native Copilot analytics only cover Copilot. CloudByte PMS is purpose-built for AI coding telemetry across tools — Claude Code, GitHub Copilot, and Cursor in one dashboard.
CloudByte PMS's answer
Engineering managers and CTOs at software teams of 10–200 developers who have rolled out AI coding tools and now need to answer: who's actually using them, what are they costing, which seats are idle, and is delivery actually improving? Reviewers and platform teams also use it for prompt governance and auditing.
CloudByte PMS's answer
CloudByte PMS's answer
CloudByte PMS started when Pranav and Brijesh saw the same pattern across every engineering team adopting AI coding tools: shadow AI everywhere, costs nobody could track, and usage data trapped in silos — one tool per vendor dashboard, no single picture of what developers were actually doing.
They believed this problem deserved more than a point solution. Their vision: a common platform for AI engineering — telemetry, security, and governance in one place — where every team, whatever tools they use, can see adoption, control costs, and set guardrails without slowing developers down.
That vision became CloudByte PMS: a lightweight sync agent capturing every Claude Code, GitHub Copilot, and Cursor session, prompt, and commit into one org-scoped dashboard — built to make AI-assisted engineering visible, accountable, and safe for everyone.
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I just purchased 20 bucks package of claude and now its working as a full time employee for me.
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