Most “how I built my startup” content is either humble-bragging with the specifics filed off, or a press release wearing a founder’s name. Neither is useful and neither is fun to read.
This section is the opposite bet from my Startup Deep Dives hub. That section is forensic — I go looking for what actually happened versus the legend, including the near-misses, the luck, and the things that would have made a rational investor walk away. It’s deliberately not trying to inspire anyone.
This section is trying to inspire you. On purpose.
What I’m doing here
Every profile here covers a real operator — usually solo or a small team, usually still running the business — with verified revenue: numbers confirmed through a payment processor (Stripe, RevenueCat, and similar), a founder’s own detailed public disclosures, or independent reporting, not a round number someone typed into a pitch deck. I check these against each other before I use them, because “verified” numbers turn out to be wrong more often than you’d think — a platform’s own dashboard once quietly mislabeled a company’s total transaction volume as its revenue, which is a 10x-scale mistake if you don’t catch it. I catch it.
Inside each piece, the same combination of things:
- The actual wedge — what specifically was different about the first version, not the polished current one
- How the first customers actually showed up — the real channel, not “organic growth”
- The mechanic that made growth compound — the specific loop, pricing decision, or distribution move, with dates and numbers where they’re public
- What almost didn’t work — the pivot, the plateau, the thing they changed
- What’s genuinely transferable — versus what depended on timing, an audience they already had, or a market condition that won’t repeat for you
What I’m not doing
I’m not writing takedowns, and I’m not fact-checking someone’s whole life for the sake of it. If a subject has a real scandal, a lawsuit, or a controversy attached to their name, that’s a different kind of piece — the forensic kind, over on Startup Deep Dives — and I’d rather leave a person out of this section entirely than write a flattering version of a story that isn’t flattering. Every fact used here is true and checked. The discipline is in what I choose to cover, not in softening what I do cover.
I’m also not writing generic listicles. If a piece can’t teach you a specific, actionable mechanic you couldn’t get from a two-sentence summary, it doesn’t belong here.
Sources and verification
Where a number comes from a payment processor–verified tracker, I say so and note what that verification does and doesn’t cover. Where it comes from a founder’s own disclosure, I say so — self-reported numbers are still the founder’s framing, even when I believe them. Where independent reporting exists (a journalist wrote about this before any acquisition listing or marketplace pitch existed), that’s the strongest source in this section, and I use it whenever I can find it.
New profiles publish as I finish them. If you’re building something and want the mechanics behind a specific company you don’t see here, tell me.
All Profiles (4)
Marc Lou #marc-lou
- How Marc Lou Went From Broke in Bali to $1M+/Year Shipping SaaS
($1.03M revenue in 2025, self-disclosed)
— The verified story of how ~30 failed products became ShipFast, CodeFast, DataFast, and TrustMRR — and the specific mechanic that made each one distribute the next. #boilerplates #build-in-public #indie-hackers #saas
Postiz #postiz
- How Postiz Went From Open-Source Side Project to $1M ARR
(~$1M ARR, Stripe-verified via TrustMRR)
— The verified story of an AGPL-licensed social media scheduler that grew revenue 5x in months by rebuilding itself for AI agents — with the GitHub-stars-to-paying-customers mechanic laid out in full. #open-source #developer-tools #ai-agents #saas
Rezi #rezi
- How Rezi Beat the Big Resume Builders With Nothing But SEO
(~$3.2M revenue in 2024, independently tracked)
— The verified story of a decade-old, no-VC resume builder that out-shipped Zety and Resume.io on content and a two-year head start on GPT — from a Seoul-based team. #seo #bootstrapped #content-marketing #ai-tools
Simple Analytics #simple-analytics
- How Simple Analytics Turned GDPR Into a Growth Channel
(Live public dashboard — check current MRR at time of writing)
— The verified story of a 3-person, bootstrapped Google Analytics alternative that used European privacy rulings as free marketing — with a live public revenue dashboard to prove it. #privacy-tech #bootstrapped #regulatory-tailwind #open-startup