The intelligence layer for hybrid human + AI engineering
How it works
From raw signals to decision-ready AI impact reports in three steps.
Connect Your Stack
10-minute setup. GitHub, Jira, Slack — we read from tools your team already uses. No agents, no workflow changes.
- 10-minute setup
- No methodology change
- Delivers value immediately
GitHubCode & Version ControlConnected
JiraProject TrackingConnected
SlackCommunicationConnected
DatadogObservabilityConnected
LinearProject TrackingSyncing…Setup Progress
Add New Relic to complete observability coverage
Continuous Signal Collection
AI attribution, review patterns, rework signals, and defect rates — collected automatically. Thousands of quality-adjusted data points per team.
- AI attribution and quality signals
- Review tax and rework tracking
- Thousands of data points per team
AI Attribution — PR #482 — 38% AI-generatedReview Tax — +12 min avg on AI PRsRework Flag — 2 follow-up commits on AI PRDefect Rate — 1.1% on AI-assisted storiesAcceptance Quality: 92%
Quality-adjusted metrics updated for Platform team
Decision-Ready Output
AI impact reports, capacity scenarios, board decks, coaching briefs — formatted and ready to share. Not dashboards you have to interpret.
- AI impact reports and capacity scenarios
- Board-ready executive reports
- Coaching briefs and calibration summaries
Key Insight
Platform team absorbed +18% capacity via AI — review tax is low and acceptance quality is 94%. Mobile team has high review tax; not ready to reduce headcount.
from AI Impact Report · Q1 2026
What you can do with HackerPulse
From AI impact measurement to board reporting, these are the decisions that become evidence-backed.
Measure AI Impact
Five quality-adjusted metrics that tell you whether AI is actually producing better output — not just more code. Attribution, acceptance quality, review tax, rework, defects.
Plan Capacity & Headcount
Per-team scenarios that answer 'what does AI let us not hire — or redeploy?' Defensible under board scrutiny. Ranges, not guesses.
Board & Executive Reporting
Board reporting pulls managers, engineers, and finance into the same coordination loop — everyone reformatting the same data across systems. HackerPulse generates it directly from your tools.
Performance in the AI Era
The question is no longer 'how productive is this engineer?' It's 'how well does this engineer use AI to produce better outcomes?' Evidence-backed evaluation for the hybrid era.
Every engineering leader I talk to has the same question: is our AI investment actually working? Most can’t answer it with data. HackerPulse gives them the numbers they need to answer that question honestly.
See how teams use HackerPulseRick Boone
Engineering leader · Meta, Uber, Carta
SOC 2 Type II
GDPR CompliantStart measuring
AI impact this week.
See what HackerPulse reveals about your engineering org's AI investment in a 15-minute walkthrough.
- 10-minute setup
- No workflow changes
- SOC 2 Type II & GDPR compliant
Request a demo
Enter your work email and we'll set up a demo tailored to your engineering org — 15 minutes, no commitment.