Who I Am & Why I Wrote This

Who I Am & Why I Wrote This

Edition note — October 11, 2026. The publication record is November 14, 2025, while the final chapter carries a January 2026 sign-off; the manuscript does not establish when that later material was added. Original publication dates are retained. Personal prices, customer accounts, team sizes and valuations describe the period narrated, not current offers or independently verified market values. Advice drawn from those experiences is not a guarantee of a reader’s revenue or results.

I'm sitting in a Toronto coffee shop, looking at my bank statements. I've built $10M+ in value across businesses I've founded. I've never raised venture capital. My team is just 3 people.

I'm not telling you this to brag. I'm telling you this because five years ago, I was convinced I needed to raise VC to build anything meaningful.

I was wrong.

The Story Nobody Tells You

In 2020, I was a typical "YC-poisoned builder" — a technical founder who consumed every startup podcast, read every Paul Graham essay, and believed the only path to success was:

1. Build product
2. Raise seed round
3. Growth hack to product-market fit
4. Raise Series A
5. Scale at all costs
6. Exit or die trying

I tried this path. I built products nobody wanted. I pitched investors who didn't care. I burned through savings while waiting for the mythical "hockey stick growth" that never came.

Then something happened that changed everything — but not in the way I expected.

Here's the thing nobody warned me about: The playbook I discovered — consulting-first — is also under threat now. AI is eating advice. AI is eating expertise. AI is eating information.

What I'm about to teach you works. But it only works if you understand where it's going.

Consulting is how you start. It's not where you stay.

The founders who win the next decade will use consulting to generate cash and learn — then evolve into layers AI can't touch: identity, relationships, stakes, selection, accountability.

This book will teach you both: how to start, and how to survive what's coming.

The $29/Month Humiliation

I was running SimpleDirect as a SaaS product. We were helping contractors offer financing to their customers — connecting homeowners, contractors, and lenders.

We charged contractors $29/month. Twenty-nine dollars for a financing platform that could help them close more deals.

One day I'm on a call with one of our customers, and he casually mentions: "Yeah, my Google Ads guy charges me $12,000 a month."

I almost dropped the phone.

"Twelve thousand dollars? A month?"

"Yeah, but it's worth it. He brings me about five leads a month, and I close at least one or two of them. Each job is worth $15,000 to me, so the math works."

I sat there doing the calculation. He was paying someone 400 times more than he was paying us. And he was happy about it.

That's when it hit me: The problem wasn't the customer. The problem was us.

We'd been playing the Silicon Valley game — build a product, make it self-service, charge almost nothing, scale later. We were solving $10,000 problems and charging $29.

We were idiots.

So I called three of our best customers and pitched them something we hadn't built yet: a $2,000/month service where we'd handle their entire customer acquisition process — direct mail campaigns, lead qualification, follow-up systems. Everything they were currently paying other people thousands for.

Two of them said yes immediately. On the spot. Before we'd built anything.

I built the service that week. They paid for 10 months straight.

That moment changed everything. Not just for SimpleDirect — for how I thought about building businesses entirely.

The Accidental Discovery

I didn't set out to build a consulting business. I stumbled into it because I was tired of feeling stupid for charging $29 while my customers paid everyone else thousands.

But what I discovered was more valuable than any VC check:

Consulting revenue bought me time to figure things out.

While my peers were in back-to-back fundraising meetings, I was:

• Talking to real customers who paid real money
• Learning what problems actually mattered
• Maintaining 100% ownership and control
• Building runway without dilution

SimpleDirect went through multiple pivots — contractor financing, founder tools, different customer segments. Some worked. Some didn't. The product kept changing.

The consulting never did.

ANC stayed profitable through every SimpleDirect pivot. When the product zigged, consulting kept the lights on. When the product zagged, consulting funded the experiments.

That's the real lesson: Consulting isn't a stepping stone to something else. It's the foundation that lets you take risks everywhere else.

What Didn't Work

I've tried the VC path. Multiple times. It never worked, and here's why:

2019: Built SimpleDirect (contractor financing) and applied to Y Combinator. Got "top 10%" email but no interview. That email planted a poison seed.

2021: Built Evolve — a neobank/cashback app. Got 1,000+ signups, 850+ connected bank accounts, 3,500 waitlist. Applied to YC. No interview. We were building for investors, not customers.

2021: Applied to YC again with SimpleDirect, pitching an enterprise pivot. Got interview. Rejected for "not enough differentiation" and unclear market strategy.

2022: Applied to YC a fourth time with ANC (cash management for startups). Got interview. Rejected for being "too young to be trusted with money."

That last rejection — May 5, 2022, 7:56pm, sitting in a Salad King restaurant — broke me.

Every failure taught me the same lesson: I was optimizing for investor approval instead of customer value.

The moment I stopped trying to raise VC and started charging clients directly, everything changed. The $29/month humiliation became the best thing that ever happened to me — because it forced me to price for outcomes instead of features.

Why Consulting Is Under Threat

I need to be honest with you about something.

The consulting model I used from 2020-2024 is getting eaten. Not all of it — but enough that you need to know what's coming.

What AI is eating:

• Advice-for-fees ("here's what you should do") — AI advises better, faster, free. Happening now.
• Frameworks and templates — AI generates them instantly. Happening now.
• Information packaging (courses, playbooks) — AI teaches 24/7. Happening now.
• Commodity execution (basic dev, design, writing) — AI does it cheaper. Give it 12-24 months.

What AI can't eat:

• Judgment on YOUR specific situation — AI doesn't know your context, your history, your constraints.
• Selection signal ("I chose to work with you") — AI can't credibly select. Humans trust human judgment.
• Stakes (equity, skin in the game) — AI doesn't take risk. AI has nothing to lose.
• Accountability — AI isn't responsible for outcomes. You can't fire AI.
• Presence in uncertainty — When everything's falling apart, people want a human in the room.
• Relationships and network access — AI can't text your lawyer. AI can't make warm intros.

The evolution looks like this:

Stage 1: Consulting to Start. Trade expertise for cash. Learn what problems people actually pay for. Build runway and relationships. This is where most of you are, and this is where you should start.

Stage 2: Consulting with Stakes. Move from advice-for-fees to outcomes. Take equity instead of (or alongside) cash. Your success equals their success. AI can't replicate aligned incentives.

Stage 3: Selection and Presence. You become the filter, not the advisor. "I chose you" is the value. You're paid for judgment, not information. Human presence in high-stakes moments.

This book teaches Stage 1 — because you have to start somewhere. But I'll signal throughout where the model needs to evolve, and why.

If you're reading this in 2026 or later, you may need to move through the stages faster than I did. That's fine. The principles hold. The tactics adapt.

Why This Book Exists

In early 2024, I had a decision to make. An American bank offered me a partnership deal: $3-5M in capital, access to their network, and legitimacy in the fintech startup ecosystem. The catch? I'd lose strategic control, take on dilution, and lock myself into their growth timeline.

I turned it down.

Not because the deal was bad — it was actually generous. I turned it down because I'd already seen what sovereignty looks like. I'd built two businesses, maintained 100% ownership, and generated over $2M in revenue without outside capital. Why would I give that up for a shortcut?

That decision crystallized something for me: The VC-first narrative is broken, and nobody's writing the alternative playbook.

Every book about startups assumes you need to raise capital. Every podcast interview is with a founder who exited for $100M or raised a Series C. Every "success story" ends with an acquisition or IPO.

But what about the rest of us? The 99% of founders who don't want to raise VC, who care more about profit than vanity metrics, who'd rather own 100% of a $10M business than 5% of a $100M one?

This book is for them. For you.

But I'm also writing this because the window is closing.

Pure consulting — advice-for-fees — worked beautifully from 2020-2024. It still works today, but the runway is shorter. AI is compressing the timeline. The founders who start with consulting in 2025 or 2026 need to evolve faster than I did.

This book will teach you how to start. It will also teach you how to see the signals and evolve before you get eaten.

What Makes Me Qualified

I'm not a billionaire. I'm not a household name. I haven't exited for hundreds of millions. So why should you listen to me?

Because I'm building the thing I'm teaching you to build — and I'm being honest about where it's going.

Here's what I've actually done:

• $10M+ in value across businesses I've founded
• 100% ownership — never raised VC, never gave up equity
• 3-person team running everything
• Built from Toronto — not San Francisco, not New York, not Boston
• Multiple pivots survived — because consulting funded the experiments

And here's what I'm doing now:

• Evolving the model — moving from advice-for-fees toward stakes, selection, and accountability
• Documenting the transition — publicly, so you can see what works and what doesn't
• Rejecting 60-70% of clients — because selection is becoming more valuable than volume

I'm not special. I'm just a few years ahead of where you are — and I'm being honest about the road ahead.

Why I'm Different (And Why That Doesn't Matter)

You're probably thinking: "But George, you're different. You had technical skills. You understood the startup game. You had a network."

You're right. I can code, which meant I could build SimpleDirect without hiring developers.

But here's what I didn't have:

• No Stanford degree or YC batch
• No famous co-founders or advisors
• No previous exits or "proven track record"
• No family wealth or safety net
• No permission from anyone

The consulting-first model worked because it doesn't require advantages — it creates them.

How This Book Works

This book is split into three parts:

Part 1: Awakening — Why the VC-first path is broken for 99% of founders, and why consulting is the smarter starting point.

Part 2: The Start — The exact consulting-first playbook I used to generate $2M+ without raising a dollar. How to find clients, price for outcomes, deliver results, and build runway.

Part 3: The Evolution — Where consulting is going. What AI is eating. How to move from advice-for-fees into the human layers that survive: judgment, stakes, selection, accountability, presence.

I'm not going to sugarcoat this: the consulting-first path is hard.

You'll work more hours than your VC-backed peers in the beginning. You'll have to sell before you build. You'll have to say no to shiny objects. You'll question yourself constantly.

But here's what you get in return:

• 100% ownership
• No board pressure
• No forced exits
• No fundraising treadmill
• Complete strategic control
• Cash in the bank, not paper valuations
• Time to figure out what actually works

And if you evolve correctly, you end up in layers AI can't touch — where the value compounds instead of commoditizes.

The model works because every founder has problems they'll pay to solve. Your job is to figure out which problems are urgent and expensive enough to justify consulting fees, then learn how to solve them — and eventually, learn when to evolve beyond solving them yourself.

This book will show you how.

A Note Before We Begin

The model in this book worked for me from 2020-2024. It's still the best way to start in 2025 and beyond.

But I'd be lying if I told you it's the whole answer.

AI is changing everything. The advice layer is getting compressed. The expertise layer is getting commoditized. The information layer is already free.

What survives is human: judgment, stakes, relationships, selection, accountability, presence.

Consulting is how you start — because it generates cash, teaches you what people pay for, and buys you time to figure out the rest.

But the goal isn't to be a consultant forever. The goal is to evolve into something AI can't eat.

This book will teach you both.

Let's go.

Edition status: This is the preserved historical edition, with dated corrections where shown. Its original promise of a separate, continuously updated book changelog is no longer a current service promise. See About for my current work and the decision guides for current exercises.