AI is your largest unmeasured cost line. We fix that.
Measuring AI is harder than adopting it
Your team knows they need to measure AI impact. The problem is nobody has a framework for it.
Adoption ≠ Impact
High AI usage doesn’t mean better output. You need quality signals, not seat counts.
Hidden costs compound
AI shifts work to reviewers. Without measuring review tax and rework, you’re subsidizing speed with invisible overhead.
The board wants numbers
Not ‘we’re using AI’ — they want capacity scenarios and defensible headcount plans tied to ROI.
Used by teams who can't afford guesswork.
Trusted by engineering leaders measuring AI impact and making evidence-backed decisions.
“The board was asking about AI ROI, particularly in relation to hiring decisions. We needed per-team scenarios, not a single number that collapses under the first hard question.”
CTO
120 engineers
Top Consumer Mobile App
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Trusted by best-performing funds and engineering leaders from Google, Apple, Cloudflare, and Carta.
Individual investors
Rick Boone
Engineering leader · Meta, Uber, Carta
Giovanni Bresin
Engineering leader · Apple, Nest, Google
Noela Nakos
Engineering leader · Apple, Nest, Google
Jade Wang
Developer Relations · Cloudflare
Kris Evans
Engineering leader · SpaceX, Cloudflare
Guhan Venguswamy
Field CTO · Jasper
Daniele Secondi
Developer Relations · Pipedrive
Dmitry Grudzinskiy
SVP of Engineering · Natera
Nikita Gordeev
CTO · Snoonu
Start measuring
AI impact
this week.
Your team is already using AI. HackerPulse turns that activity into quality-adjusted metrics, capacity scenarios, and board-ready reports — without changing how your team works.
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