WhatA tool that measures each team member's actual value creation — code shipped, bugs fixed, features delivered, user impact — using AI to objectively attribute outcomes rather than relying on self-reporting or manager perception.
SignalA strong thread in the comments revolves around the anxiety that many well-paid roles create complexity rather than value, and that AI is exposing this gap. People express that the ability to objectively measure value creation versus value extraction would fundamentally change how teams operate.
Why NowAI-driven layoffs are forcing companies to justify headcount with measurable output, and AI tools now generate enough telemetry data to actually attribute value creation at the individual level.
MarketEngineering managers and HR leaders at tech companies with 50-5000 engineers; $5B+ performance management market. LinearB and Jellyfish exist but focus on DORA metrics, not AI-era value attribution.
MoatBenchmarking data across companies creates a network effect — the more organizations contribute data, the more accurate the value-creation baselines become.
Create value for others and don’t worry about the returnsView discussion ↗ · Article ↗ · 681 pts · March 11, 2026
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