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Editor-locked stats vs platform-neutral token efficiency
| Feature | SigRank | Cursor |
|---|---|---|
| What it measures | Token-cascade efficiency (Yield, Leverage, SNR, Velocity) | Built-in usage stats (lines accepted, edits, tabs) |
| Headline metric | Yield (Υ) = (cache_read × output) / input² | Acceptance rate |
| What it tells you | How efficiently you use AI across all tools | How many suggestions you accepted in Cursor |
| Leaderboard | Yes — ranked by Yield, class tiers, weekly drops | No — editor-internal stats only |
| API | Public REST API + MCP tools | No public API for metrics |
| Comparison | Head-to-head operator comparison | No |
| Privacy | Token counts only — never prompt content | Cursor-internal data |
| Cross-platform | Yes — Cursor + Claude Code + Copilot + 15+ | No — Cursor only |
Cursor is an excellent AI code editor with built-in usage stats — lines accepted, edits made, tabs used. But those metrics are editor-locked and editor-scoped. They tell you what happened inside Cursor, and nothing else.
Most developers don't use one tool. You might run Cursor for edits, Claude Code in the terminal, and Copilot in the browser. Cursor's dashboard can't see any of that. Your real efficiency is scattered across every tool you touch.
SigRank is platform-neutral. It measures token-cascade efficiency — Yield (Υ) — across Cursor, Claude Code, Copilot, and 15+ tools. One score, one rank, one operator class. Cursor tells you how many suggestions you accepted. SigRank tells you how efficiently you drive AI everywhere.
Cursor is an AI code editor with built-in usage stats — lines accepted, edits, tabs. SigRank is platform-neutral: it measures token-cascade efficiency (Yield) across Cursor, Claude Code, Copilot, and 15+ tools. Cursor tells you what happened inside its editor; SigRank tells you how efficiently you drive AI everywhere.
No — they measure different things. Cursor's built-in metrics are editor-locked and editor-scoped. SigRank is platform-neutral and works across every AI coding tool. Keep Cursor for editing; add SigRank for the cross-tool score.
Yield (Υ) = (cache_read × output) / input² — token-cascade efficiency from real sessions. Works across Claude, GPT, Gemini, Cursor, Copilot, and any AI coding tool.
Visit signalaf.com/score to enroll and submit your token telemetry. SigRank will compute your Yield, your rank, and your operator class. Token counts only — never prompt content, never code.
Keep Cursor. Add the score.
Check my Yield