Revenue Debugger PM_

runs locally · your data never leaves the machine

She finds the money your tools can't see. Ingests your behavioral data, runs causal analysis across heterogeneous sources, and ships ranked engineering tickets with the code reference attached. Causation, not correlation.

$14M

in revenue leaks found

112 t/s · Apple Silicon

$0 / token

ships to GitHub · Linear

01 / Ingests

She reads the whole corpus — pre-compressed into a pill structured for the role — so context is never the bottleneck.

PostHog Stripe GitHub Error logs SQL databases

02 / Ships

Causal answers to revenue-shaped questions: why are we losing money in this funnel, which users are most valuable, which bug is killing conversion.
Ranked engineering tickets to GitHub or Linear, each with the code reference attached.
Not a dashboard. She does not reproduce what a chart already shows. She tells you why, and what to do.

03 / How she runs

Local

Model and context run on the laptop you already own. 100+ t/s on Apple Silicon.

Private

Data never leaves the building. We connect via a read-only metering API — usage, not your data.

Unmetered

Token cost goes to zero. Ask as many analytical questions as the work needs.

04 / Selected work

Priority 01#1284 · checkout-service

Funnel leak at payment step — $18.2k/mo recoverable

3DS challenge silently fails on Safari iOS; 41% of mobile drop-off traces here. Isolated across PostHog sessions + Stripe declines + a Sentry error cluster.

checkout/payment.tsx:212 — confirmCardPayment() missing return_url

Priority 02#1285 · activation

Highest-LTV cohort hides behind a slow first query

Users whose first dashboard load exceeds 4s convert at 2.4× lower rate. The 4s is one N+1 query, not the network.

api/overview.py:88 — per-row fetch inside loop

Put her to work this week.

She runs on the local-first agent OS. Your data stays where it is.

back to Happiest Labs