How Lovable Made the Product the Content (and Skipped the Brief)

In short

Lovable, an AI tool that builds working apps from a text prompt, ran a B2B creator program that inverted the standard SaaS sponsorship. Instead of handing creators a brief and asking them to describe the product, Lovable gave them access first and asked them to build something with it. In one collaboration analyzed by Favikon, a creator built an app with Lovable for a video, the content drew roughly 20,000 comments asking for access, and the beta that followed reportedly pulled around 30,000 signups. The lesson isn’t the numbers, it’s the mechanic: when the product is good enough to become the content, the creator stops making a claim and starts showing proof, and proof converts in a way claims never do.

What you’ll learn

• Why Lovable gave creators the product before the brief

• The difference between a product claim and product proof

• How one build-driven collaboration turned into tens of thousands of signups

• How to read these reported numbers honestly

• What’s repeatable from this approach, and what depends on the product

The inversion: product first, brief second

Most influencer campaigns start with a brief. The brand writes what it wants said, hands it to a creator, and the creator works the message into a post. Lovable, according to the program breakdown published by Favikon and credited to Mindaugas Petrutis, who built Lovable’s B2B influencer program in its early days, ran the process backwards.

Before any discussion of deliverables, messaging, or payment, creators were given access to Lovable and asked to use it themselves. The goal was to see whether they could find a real reason to care about it. Petrutis would sometimes give creators two weeks to experiment, and if a creator came back with nothing to show, that was treated as useful information: the partnership probably wasn’t a fit. The brief didn’t select creators. The product did.

That sequence sounds like a small logistical change. It’s actually the whole strategy, because it determines what kind of content gets made at the end.

Product claim versus product proof

Here’s the distinction that makes the case worth studying. A creator saying “this platform helps you build applications with AI” is making a product claim. A creator building an actual application, sharing the process, and showing the audience the working result is offering product proof. They look similar in a feed. They perform nothing alike.

A claim asks the audience to trust the creator’s word about the product. Proof lets the audience watch the product work and draw their own conclusion. In B2B, where buyers are skeptical of marketing and the purchase carries real risk, proof clears a bar that a claim never reaches. The creator who has genuinely built with the tool can speak about it with a specificity no brief can fake, because they’re describing a real experience, not reciting talking points. This is the same reason briefing creators well means giving them room rather than a script: the value is in what the creator genuinely brings, not in what the brand dictates.

For a product like Lovable, where the entire pitch is “you can build a working app fast,” this is close to an ideal fit. The product is inherently demonstrable. A creator using it generates a visible artifact, the app, that is itself the most persuasive possible ad.

What one build-driven collaboration produced

The clearest example in the Favikon breakdown is a single collaboration where a creator built an app with Lovable as the basis for a video. The content wasn’t a sponsored mention worked into an unrelated post. The build was the content.

Favikon reported that the collaboration generated around 20,000 comments asking for access, and that when the creator finished the product and opened a beta, it reportedly collected roughly 30,000 signups, with more joining a waitlist. The product was never inserted into the content as a sponsor message. The product created the content. The creator’s output became a demonstration, a story, a tutorial, and a reason for the audience to try the tool themselves, all at once.

That stacking is the point. A normal sponsored post does one job, awareness. A build-driven piece does several: it shows the product working, tells a story people want to follow, teaches the audience how to do it themselves, and creates direct demand for access. One piece of content covering the whole journey from curiosity to signup is rare, and it’s a direct result of the product-first mechanic.

How to read these numbers honestly

The figures here come from Favikon’s analysis, credited to someone who ran the program, and Favikon itself flags the signup count as reported rather than independently audited. So treat the roughly 20,000 comments and 30,000 signups as credible directional figures from a named source, not as numbers an outside party has verified. That’s the same standard worth applying to any case study built on a single source close to the campaign.

It’s also worth separating this from Lovable’s broader growth story. Lovable has posted eye-catching company-level numbers, but those reflect the entire business, product, virality, funding, and word of mouth, not the creator program alone. The honest claim is narrow and still strong: one build-driven collaboration produced tens of thousands of access requests and signups. Stretching it into “the creator program built the company” would be the kind of overreach that makes a case study less credible, not more. The narrow version is impressive enough on its own.

What’s repeatable, and what depends on the product

The mechanic transfers further than you’d think, but with one honest condition. The repeatable part is the philosophy: give creators access before a brief, let the product earn their genuine interest, and build content around what they make rather than what you script. Any SaaS company can run its program that way, and most would get better content for it.

The condition is that the product has to be demonstrable. Lovable’s approach works partly because the product produces something visible and impressive in a short video. A tool whose value is abstract, slow to show, or only legible to a specialist will get less mileage from “build something with it on camera,” and may need a different mechanic, closer to the expert co-creation that suits complex products. The deeper principle still holds, that proof beats claims, but how you generate the proof depends on what your product does.

Conclusion

Lovable’s creator program is the cleanest recent argument for a simple idea: stop asking creators to talk about your product and start letting them use it. The brief-first model produces claims, the product-first model produces proof, and in a skeptical B2B market proof is what moves people from watching to signing up. The numbers from one collaboration, tens of thousands of comments and signups, are the visible result of an invisible decision made weeks earlier, to let the product, not the brief, lead.

The most expensive mistake the case warns against is the reflex to control the message. A brand nervous about what a creator might say writes a tighter brief, and in doing so guarantees a claim instead of proof, and strips out the authenticity it was paying for. Lovable did the opposite, trusted the product to be interesting, and let creators show rather than tell. If your product can carry that, it’s the strongest position a SaaS brand can be in.

The Kast take

The instinct this case pushes against is the one we spend the most time talking clients out of: the urge to write a tight brief and protect the message. It feels safer. It produces worse content every time, because a controlled message reads as an ad and an authentic build reads as proof. Lovable’s “give them access before a brief” rule is the same principle we work from, the creator who genuinely understands and uses the product writes something a buyer believes.

The honest caveat we’d add is that Lovable had an unfair advantage: a product that’s visual, fast, and genuinely impressive to watch in a 60-second video. Not every B2B product has that. If yours is more abstract or slower to show its value, the answer isn’t to abandon the proof-over-claims principle, it’s to find the format that generates proof for your specific product, a deep co-created teardown, a real customer walking through results, a build done live with expert commentary. The mechanic adapts. The rule that proof beats claims doesn’t change. Finding the right way to generate that proof for a given product is the work we do every day at Kast.

Numbers attributed to Lovable’s creator program reflect figures reported in Favikon’s analysis, credited to a program operator, and have not been independently audited. Company-level growth figures are excluded as they reflect Lovable’s whole business, not the creator program. Other patterns reflect a blend of Kast’s internal partnership data through Q1 2026 and publicly available industry benchmarks for the same period.