Financial modeling, fundraising
& unit economics for founders
From 5 rounds, 7 VCs, and a 9-figure exit
100 articles distilled into 16 chapters covering financial modeling, unit economics, fundraising strategy, and exit planning. Built from real models that raised real money, not theory from people who have never sat across from a partner.
01 Companion products
The Excel workbooks that accompany every chapter exercise. Build your financial model step by step as you read. Includes pre-built formulas, validation checks, and worked examples from the book.
The complete guide: 16 chapters of battle-tested fundraising, financial modeling, and unit economics knowledge. Every principle comes from models that actually raised capital and a company that actually exited.
Get the book and all companion exercise files together. The complete learning package for founders who want to build their model while they read, not after.
02 Financial model templates
Each template is built from the same architecture used across five fundraising rounds. Pre-configured with driver-based revenue, scenario toggles, unit economics, and investor-ready formatting. Pick your stage.
Revenue drivers, basic COGS, headcount plan, 18-month runway. Built for proving you understand the business before you have the data.
Cohort-based revenue, channel CAC, three scenarios, full P&L, cash flow, 24-month forecast. The model that gets the meeting.
Multi-product revenue, departmental headcount, unit economics by segment, sensitivity analysis, board reporting tab. Diligence-proof.
Multi-geography, multi-currency, M&A bolt-on tabs, LTV cohort waterfall, balance sheet, five-year plan. Built for the big conversation.
03 What's inside the book
04 Work with the author
Five fundraising rounds. Seven VCs. A 9-figure exit to Indeed. I have built the models, sat in the diligence rooms, and defended the numbers under pressure. If you need your financial model built, audited, or investor-proofed, I will do it with you.
Calendly booking link provided after payment.
End-to-end financial model built for your stage, investor-ready from day one.
For companies serious about AI adoption
Most companies have the subscriptions. Almost none have staff who know how to deploy them. We give you both: the right toolset and the AI-native operators who turn it into real output from day one.
01 The problem we solve
01
Your team has ChatGPT, Copilot, and three other subscriptions. Nobody has the time or training to use them properly. They sit idle or produce output that still needs full rewrites.
02
You need an FP&A analyst, a compliance researcher, a content marketer: but not full-time. Traditional fractional hiring is expensive, slow to ramp, and still requires you to manage the AI yourself.
03
Generic consultants hand you frameworks. They don't sit inside your Notion, query your Snowflake, or draft your contracts. By the time they're ramped, the engagement is over.
04
Using AI well is a skill. Prompting correctly, knowing what to delegate, integrating outputs into real workflows: your team doesn't have time to develop this while running the business.
02 How we work
We pair each engagement with two layers: a configured AI toolset that handles 65-80% of output volume, and an AI-native fractional operator who provides the judgment, verification, and context that AI genuinely can't replicate.
We configure the exact AI stack for your function: purpose-built workflows with the right models, prompts, and guardrails. No setup time from your team.
Our fractional staff think in AI-first workflows. They know what to automate, what to keep human, and how to quality-control outputs before they touch your business.
You pay for the hours the human genuinely needs: typically 8-14 per month. No benefits, no ramp. Scale a function up when you need it, step it back when you don't.
03Live in the office right now
Eight AI-native operators, each assigned to a function, each showing you exactly what they're shipping. This is what your fractional team looks like from day one: not ramping, not onboarding. Working.
04 What we cover
Every role comes with the AI layer pre-configured and an AI-native operator ready to embed in your workflows. $1,999/month for your first 5 roles. $2,999/month for each additional role. A comparable full-time hire costs $6,000-$12,000/month before benefits.
| Role | AI time saved | Bundle / month | Add to Cart |
|---|---|---|---|
| Content Marketer | 80% | $1,999 | |
| Technical Writer | 75% | $1,999 | |
| HR Policy Writer | 75% | $1,999 | |
| Sales Enablement | 80% | $1,999 | |
| UX Writer | 75% | $1,999 | |
| FP&A Analyst | 65% | $2,999 | |
| Compliance | 70% | $2,999 | |
| SQL Analyst | 65% | $2,999 | |
| Contract Drafter | 70% | $2,999 | |
| Product Manager | 65% | $2,999 |
05 Why this is different
The people we place are not employees who happen to use AI. They are operators trained AI-first: they know what to automate, what to keep human, and how to verify output before it touches your business.
A human using ChatGPT occasionally produces inconsistent output. An AI-native operator builds a repeatable system that gets better over time and catches what the model gets wrong.
Generic AI tools with no one owning the workflow
Pre-configured stack + a human who runs it daily
Consultants who deliver frameworks, not output
Operators who ship real deliverables from week one
Full-time hires with 4-week ramp and full overhead
Fractional engagement, no benefits, no ramp time
AI output nobody quality-controls before it ships
Human judgment layer catches errors before you see them
Lock-in retainers with unclear scope
Transparent pricing by function, scale up or down anytime
Pick the roles you need below, add them to your cart, and we'll get your team operational within a week. No ramp, no onboarding overhead.
57 articles on fundraising, financial modeling, unit economics, and exit strategy. Every principle tested across five rounds, seven VCs, and a 9-figure exit.
Get the complete guide with all 16 chapters, exercises, and model templates.
We are looking for operators who think AI-first. If you have built workflows that blend human judgment with AI output, and you want to work fractionally across multiple companies, we want to hear from you.
We hire AI-native fractional operators across all functions: FP&A, content, compliance, sales enablement, technical writing, UX, SQL analytics, contract drafting, HR, and product management. Tell us what you do best.
We review every application within 5 business days. If there is a fit, we will reach out to schedule a conversation.