The SaaS Podcast: How B2B SaaS & AI Founders Get Customers

Bootstrapped SaaS: $12M ARR Across 5 Products With a Team of 10

The SaaS Podcast: How B2B SaaS & AI Founders Get Customers

Show Notes

Two failed startups. 250K euros in debt. Stuck in Paris with a sick baby and no plan. Tibo Louis-Lucas walked away from a stable CTO job and shipped 11 products in 4 months on unemployment benefits. Today TMAKER is a bootstrapped SaaS startup portfolio doing $1M a month across 5 products with a team of 10.

Tibo breaks down the exact signal that told him Tweet Hunter was the one after 10 failures, the JK Molina equity deal that took it from $3K to $20K MRR in 3 weeks, why he regrets selling Tweet Hunter and Taplio for $8 million, and the co-maker model that powers his bootstrapped SaaS startup today.

Plus: why Tibo says SEO is the most durable distribution channel for a bootstrapped SaaS startup, even as LLMs reshape search.

TMAKER is a bootstrapped SaaS startup studio of 5 products. Outrank crossed $200K MRR. Revid does over $600K a month. The portfolio crossed $1M a month a few weeks before this conversation.

This episode is brought to you by:

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🔑 Key Lessons

🚀 Distribution is the reusable bootstrapped SaaS startup asset: Tibo built one SEO playbook, one ads pipeline, and one influencer network and reuses them across all 5 TMAKER products. Each new product launches with traffic from day one.

🎯 Validate with revenue, not downloads: Tibo shipped 11 products in 4 months and only kept the one that pulled paying customers. Recurring revenue past month two is the only signal he trusts.

🤝 Equity beats commission for distribution partners: JK Molina got 25% of profits and exit proceeds tied to active work. That tripled Tweet Hunter revenue from $3K to $20K MRR in three weeks.

💰 An earnout can sell you the company twice: Tibo took $2M upfront and earned $8M total against $8M ARR. He calls it selling an $8M business for $8M, and the post-exit void hit harder than the payday felt good.

🛠️ Switch from maker to distribution as you scale: Tibo flipped from builder to distribution operator and partners with co-makers. One distribution operator can power a 5-product bootstrapped SaaS startup that 5 solo founders could not.

🧠 Real PMF is when demand outruns you: Tweet Hunter PMF showed up as overwhelming DMs, feature requests, and signups he could not keep up with. Comfortable growth is not the signal - chaos is.

⚡ AI makes building cheap, so distribution is the moat: Outrank, Revid, and TMAKER survive copycats by owning audience, SEO real estate, and partner networks that compound long after the code ships.

Chapters

What TMAKER does today

Crossing $1M monthly across a bootstrapped SaaS startup portfolio

Two failed VC startups and 250K euros in debt

Sick baby, COVID, stuck in Paris

Shipping 11 products in 4 months

Why Tweet Hunter felt different

The JK Molina 25 percent equity deal

Launching Taplio for LinkedIn

Selling to Lempire for $8M and why he regrets it

The co-maker model explained

SEO as the most durable distribution channel

Lightning round

Resources

Full show notes: https://saasclub.io/482

Join 5,000+ SaaS founders: https://saasclub.io/email

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He needed a big retailer's data to build the product. No big retailer gives data to a company with no product. Felix Hoffmann solved it sideways: 7Learnings sold a paid consulting project, kept the right to use the data, and built its predictive pricing product on top of it. Ten customers later it was at $1M ARR, and he had closed every one himself. Felix explains why a demand forecasting product cannot start with a small customer, how he structured the first pilot as an A/B test so a retailer could hand over half its prices without betting the business, and what happened when the first run came back far too expensive. Plus: how a pricing optimization company prices itself, and why he refuses success-based fees even though he can prove the uplift. 7Learnings is a Berlin company whose software forecasts demand for each product at each price, then sets the price that hits a retailer's goal. It is now at multiple seven figures in ARR with around 40 customers. Felix spent six years as a pricing consultant at Kearney and two years running price optimization at Zalando before founding it. This episode is brought to you by: 🤖 Hobbes → Don't book a demo. Take one. 🔑 Key Lessons 🎯 Solve the data cold start by selling something else first: 7Learnings could not train a forecasting model without a large retailer's sales history, so it sold a paid consulting project and kept the right to use that dataset. 🤝 Shrink a scary ask into a reversible test: Retailers would not hand pricing to an algorithm outright, so 7Learnings ran an A/B test on half the assortment while the retailer's own team priced the rest. 📉 Pick an early customer who can survive a failure: The first live pricing run was badly wrong on high-priced products. It survived because the buyer had a big enough problem, no alternative, and understood they were working with a startup. 💰 Price high enough to lose some deals: His test is blunt. If nobody is walking away because you are too expensive, you are too cheap, especially for a complex product carrying real delivery cost. 🚀 Founder-led sales lasts longer than founders expect: Felix closed all ten customers behind the first $1M ARR himself, and stayed closely involved through the next forty, because handing off enterprise sales is genuinely hard. ⚡ Pick the technology after the problem, not before: Felix argues founders are all digging in the same technical space, and that decisions needing determinism, low cost and explainability should not be handed to an LLM. Chapters Where the idea came from: Kearney, then Zalando The hardest part was finding co-founders The consulting project that funded the product Finding the first paying customer Structuring the first deal as an A/B test The first upload was a disaster How a pricing company prices itself Ten customers to $1M ARR The price matching objection Why LLMs don't belong in the pricing decision Resources Full show notes: https://saasclub.io/494 Join 5,000+ SaaS founders: https://saasclub.io/email

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