Fablo
From idea to finished video. Just chat.
Design Tools·AI & Machine Learning·Marketing
What is Fablo?
Fablo helps marketers, e-commerce brands, agencies, and content creators produce professional video ads at scale without complex editing software or expensive production teams. Simply describe what you want to create, and Fablo handles the process—from creative concepts and scripts to AI-generated visuals, voiceovers, editing, and quality assurance. Unlike traditional AI video generators, Fablo focuses on end-to-end creative automation. Its intelligent workflows evaluate outputs, identify issues, and refine content automatically. Whether you're creating UGC-style advertisements, product demonstrations, promotional videos, or hundreds of ad variations, Fablo makes creative production faster, easier, and more scalable.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Existing does not mean anything — congratulations — the bar is even higher now. Solid design that uses Apple's robust design frameworks looks pretty good these days — but once you reach that point you've just reached zero.
Get to zero first — a well-built app is table stakes, not your pitch hook
A working, well-designed app that uses platform conventions and spellings correctly is no longer a differentiator — it's the minimum bar to be taken seriously. From 500 pitches a day, about 100 look like real companies; of those, maybe a dozen are in the writer's beat; of those, one has something genuinely above the baseline. Your pitch should lead with that thing above zero, not with the fact that you built it.
when you're managing 50 people it's you know there's 30 days in the month so uh it's at least one person's like worst day of the month like every day right there's always someone's bad day happening that day and you you're the one that kind of it filters up to and I kind of feel like that's the same with when I'm managing models
Manage models like a 50-person workforce — someone's always having a bad day
Stop treating prompt failures as bugs to debug deterministically. Treat them as variance from a workforce — expect a percentage of bad outputs, build review and filtering layers, and don't waste hours chasing the 1-in-100 refusal as if it were reproducible. The model has 'bad days'; the production system needs to filter them, not eliminate them.
There's a play for whatever you're stuck on.
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