// growth · ai · data · systems

We grow the business & build what makes it run

> A hands-on studio for growth and AI-native engineering. We lift conversion, prove it with experiments, and ship the data, AI, and product behind it — clean, fast, and yours to keep.

conversion.rate — sample// illustrative
+38%example conversion trend
sample data
01
Growth
cro · experiments
02
AI Eng
agents · llm
03
Data
warehouses · etl
04
Systems
integration
// trusted by teams at
[ 01 / growth_consulting ]

Growth backed by experiments, not opinions.

From the growth team at Eight Sleep to your funnel: we find what actually moves revenue, prove it with clean experiments, and build the changes that stick.

// conversion & lifecycleLift revenue from traffic you already have.

  • Conversion optimizationLanding pages, funnels, and checkout tuned to raise revenue per visitor.
  • Email & lifecycle flowsAudit and rebuild the flows that drive activation, retention, and repeat revenue.
  • Funnel analysisFind where users drop and revenue leaks, then close the gaps.
ab_test · example// illustrative
control4.1%
variant_b4.9%
+18%example conversion lift
sample data
Eight Sleep growth team. I ran conversion and lifecycle experiments on the growth team at Eight Sleep — that same playbook, brought straight to your funnel.
[ 02 / ai_engineering ]

AI that does a job — not AI theater.

Founder-led by someone who builds AI products for a living. We ship models that earn their place in production — customer-facing features people use, and internal systems that quietly do the work of a team.

// customer-facing aiProducts people use, not demos.

  • AI products, end to endFounded and shipped HabitCoach.ai, an AI coaching product, from model to UX.
  • LLM features in your appChat, search, generation, and RAG over your own data, wired into a real product.
  • The hard partsStreaming, guardrails, evals, and graceful fallbacks so it holds up with real users.
Founder-led. Multiple AI products shipped — customer-facing apps and internal agent systems that run a business day to day. Someone who has shipped AI in production, not a deck about it.

// internal ai & automationSystems that do the work of a team.

internal_ops · example// illustrative
manual34h
automated3h
−91%example — manual hours cut
sample data
[ 03 / what_we_build ]

The engineering to ship what the experiments find.

01
Data & Analytics
Warehouses, ETL, and dashboards you can trust — revenue reconciled to the row, every metric traced to source.
BigQuerydbtAmplitudePostHog
02
Full-Stack Product
Portals, apps, and storefronts built to ship and to last — real auth, permissions, and the plumbing that keeps them standing.
ReactNodeShopifyCloudflare
03
Systems Integration
Companies break at the seams. We wire Salesforce, LIMS, and payments together with failure detection that pages you first.
SalesforceLIMSwebhooksPHI-safe
[ 04 / expertise ]

Deep in the stack, end to end.

One team across the whole system — the funnel, the warehouse, the app, and every integration between. No handoffs, no finger-pointing between vendors.

growth_&_cro

Conversion & experimentation

CRO, lifecycle email, funnel analysis, and A/B tests designed to isolate what moves revenue.

ai_&_llm

Agents, RAG & copilots

LLM apps and agent systems that do real work — with evals, guardrails, and fallbacks built in.

analytics

Instrumentation & dashboards

Amplitude, PostHog, and GA4 wired to real North Star metrics and the experiment reads behind them.

data_engineering

Warehouses & pipelines

BigQuery, dbt, and ETL built for correctness — modeled, tested, and reconciled to the source.

full_stack

Apps & portals

React, Node, TypeScript, and Astro — production apps with real auth, roles, and permission boundaries.

integration

Middleware & systems

Salesforce, LIMS, and webhook plumbing with failure detection — PHI-safe when the data demands it.

[ 05 / selected_work ]

Systems in production, not slide decks.

Cumulus Coffee
dtc · commerce & data

A warehouse that reconciles revenue to the row.

ETL pipeline and warehouse behind a fast-growing DTC coffee brand, then the dashboards on top. Every figure traces to the join grain and the individual order — so when a number looks wrong, we show exactly why.

Row-levelevery figure traceable from source to dashboard
Axial
saas · product analytics

Product analytics that point at the right North Star.

Amplitude and PostHog instrumentation, North Star metrics, and dashboards — then the hygiene work behind them. Filtering out bot traffic that had inflated engagement let the team steer on real signal, not noise.

Signalbot traffic filtered out of the analytics
[ 06 / how_we_work ]

Founder instincts, engineer's discipline.

01

Map the risk first

We start where things break — auth, data grain, the seams between systems — not where they're easy.

02

Ship in tight loops

Small, verifiable increments in production beat big-bang rewrites. You watch it work as it lands.

03

Leave it auditable

Clean systems, documented and traceable. Look under the hood a year later and it still makes sense.

[ start_project ]

Got a system that needs building — or fixing?

Tell us the messy version. We do our best work on the problems other people call too tangled to touch.