Jumpstart Scaling · Startup framework
Unit economics first, then acquisition, then systems and automation.
Every recommendation starts from your own numbers: revenue, cost to win a customer, churn, and cash. We show the math so you can check it.
Fix your fundamentals before scaling. We optimize CAC, LTV, and payback periods to ensure sustainable growth.
Work with people who build the systems, not only advise on them. Avoid common pitfalls such as scaling spend before retention is fixed.
Most startups fail not because they lack funding, but because they scale before they're ready. They hire too fast, spend on the wrong channels, and burn cash without understanding their unit economics.
We help you build a solid foundation first. You'll learn to measure what matters, optimize your customer acquisition, and build systems that scale without breaking. When you're ready to scale, you'll do it profitably.
Our worked examples use stated assumptions and simple arithmetic. They are models, not client results, and we label them that way.
Modeled scenarioMarketing and creative agencies
Picture a creative agency selling its own services. A new client signs, then waits days for kickoff. The wait looks sloppy and invites doubt. A fixed onboarding path, with the same steps each time, shortens that gap and makes the agency look as careful as it is.
The agency has no time to market itself. The retainer runs a small, steady outbound and content program, with a monthly report on pipeline.
An onboarding portal with a checklist, a form for logins and brand assets, and an automatic kickoff booking link sent when the contract is signed.
AI helps draft outreach and summaries. Each message is reviewed.
These are assumed inputs run through the same formula as our ServiceTitan Home Services ROI Calculator. They are not a forecast and not a client result.
| Input | Assumed value |
|---|---|
| Leads per month | 24 |
| Booking rate (%) | 45% |
| Close rate (%) | 25% |
| Average sale | $48,000 |
| Result | As assumed | If leads per month is 30 |
|---|---|---|
| Booked per month | 10.8 | 13.5 |
| Signed per month | 2.7 | 3.4 |
| Revenue per month | $129,600 | $162,000 |
Moving “Leads per month” from 24 to 30 changes “revenue per month” from $129,600 to $162,000, a difference of +$32,400.
A steady program is meant to stop the cycle of busy periods followed by empty pipeline.
Formula: booked = leads x booking rate; signed = booked x close rate; revenue = signed x ticket
Method: the inputs are our assumptions for a creative agency selling its own services, chosen to be plausible, not measured. Change them to your own numbers in the calculator and the same formula applies.
Verified revenue control planes tailored to the regulatory, market density, and unit economic constraints of active regional metropolitan markets.
Engineered revenue infrastructure for scaling operators in Madison County. Deploying sub-second routing and closed-loop attribution near U.S. Space & Rocket Center.
Engineered revenue infrastructure for scaling operators in Hennepin County. Deploying sub-second routing and closed-loop attribution near Mall of America.
Engineered revenue infrastructure for scaling operators in Orange County. Deploying sub-second routing and closed-loop attribution near Walt Disney World.
Engineered revenue infrastructure for scaling operators in Wake County. Deploying sub-second routing and closed-loop attribution near North Carolina State Capitol.
Engineered revenue infrastructure for scaling operators in Allegheny County. Deploying sub-second routing and closed-loop attribution near PPG Paints Arena.
Engineered revenue infrastructure for scaling operators in Bexar County. Deploying sub-second routing and closed-loop attribution near The Alamo.
Autonomous workflows, vector intelligence, and memory-safe systems built to scale business operations without fragility.
HNSW vector indexes and multi-tenant collection clustering at scale.
Problem Addressed
Search results feel random even though embeddings are being stored.
Bespoke web portals, client dashboards, and automated intake engines.
Problem Addressed
Your team spends hours on manual data entry or copy-paste tasks.
Sub-second real-time telemetry dashboards and business KPI monitors.
Production multi-agent runtime environments with structured output guards.
Scalar quantization, on-disk payload storage, and SIMD hardware acceleration.
Problem Addressed
Search latency changes unpredictably.
Dense + sparse hybrid search with cross-encoder reranking and payload filters.
Problem Addressed
The model answers confidently but pulls the wrong context.
Deterministic Architecture Discovery: Showing specialized subsystems suited to your active workflow context.
In motion
A six-second look at a growth system in motion.
