This shows how disciplined execution, clear playbooks, and leveraging the right tools like AI CRMs can turn ambition into measurable, fast-moving results
Great breakdown. Just something I think would make the breakdowns more actionable would be focusing a bit more on how they got their initial users (i.e. how did lovable get the initial users for the github repo.).
I believe this is also largely applicable in cases such as harvey or granola, where the way they got the first few users is important.
Ivan, this is a genuinely useful teardown because you did the rare thing and treated โgrowthโ like an operating system, not a list of tactics.
Two things I keep circling:
1. โFreemium as marketing budgetโ is a killer reframing. Whatโs the control metric youโd use to keep that from turning into an infinite cost sink? (Something like marginal paid conversion per free compute dollar, or a Lovable Score threshold that decides who gets how much runway?)
2. Daily shipping + beeswarming sounds like a compounding loop, but it also smells like it could collapse into noise if the cadence outruns comprehension. Whatโs the simplest guardrail youโve seen that keeps โaliveโ from becoming โexhaustingโ? (Release notes taxonomy, โone promise per week,โ a hard cap on tier-one launches, etc.)
Also, Daily Active Apps as a north star is smart because it measures both sides of the marketplace. If you had to add one second metric to prevent gaming, what would it be? (Published apps with repeat end-user sessions? Active apps with meaningful external traffic? Something else.)
Either way, great piece. This is the kind of breakdown founders can actually steal from.
Very well researched piece, Ivan. There's a lot in here worth stealing.
The freemium point is clever. So is turning engineers into marketers and treating daily releases as part of growth rather than a separate department.
The only caution is that not every startup can pull this off now.
Once a wave like vibe coding has already thrown up a few giants, the same playbook gets much harder to repeat.
Thank you Daniel!
Lovableโs rapid $400M ARR shows the power of organic growth done right
Thank you Michael!
This shows how disciplined execution, clear playbooks, and leveraging the right tools like AI CRMs can turn ambition into measurable, fast-moving results
Indeed, cheers Dennis!
Distribution and product working together is hard to beat.
crazy growth
โค๏ธ
Great breakdown. Just something I think would make the breakdowns more actionable would be focusing a bit more on how they got their initial users (i.e. how did lovable get the initial users for the github repo.).
I believe this is also largely applicable in cases such as harvey or granola, where the way they got the first few users is important.
Love the breakdowns. Keep them coming.
Thank you Champ, super helpful feedback.
Please keep it coming ๐
Ivan, this is a genuinely useful teardown because you did the rare thing and treated โgrowthโ like an operating system, not a list of tactics.
Two things I keep circling:
1. โFreemium as marketing budgetโ is a killer reframing. Whatโs the control metric youโd use to keep that from turning into an infinite cost sink? (Something like marginal paid conversion per free compute dollar, or a Lovable Score threshold that decides who gets how much runway?)
2. Daily shipping + beeswarming sounds like a compounding loop, but it also smells like it could collapse into noise if the cadence outruns comprehension. Whatโs the simplest guardrail youโve seen that keeps โaliveโ from becoming โexhaustingโ? (Release notes taxonomy, โone promise per week,โ a hard cap on tier-one launches, etc.)
Also, Daily Active Apps as a north star is smart because it measures both sides of the marketplace. If you had to add one second metric to prevent gaming, what would it be? (Published apps with repeat end-user sessions? Active apps with meaningful external traffic? Something else.)
Either way, great piece. This is the kind of breakdown founders can actually steal from.
Thanks Mark those are great questions, noting them down for a follow-up drop on this. ๐
Great piece Ivan. Fascinating model to learn from.
Thank you Juan!