Built for DevRel/PMM: devs build Remotion templates once, marketers update launch videos with AI chat, then export production-ready MP4s in minutes (4 hours → 10 minutes)
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Hunter
📌
Hey Product Hunt — I’m the maker of Framlit.
I built Framlit because in DevRel/PMM, product videos go stale the moment you ship an update. Changing a headline or a CTA often means re-recording screens, re-editing timelines, and waiting on someone who knows the video toolchain. The result is a weird bottleneck: a 1‑minute product change becomes a 4‑hour video update.
My "client zero" moment was doing this myself over and over. I wanted a workflow where:
- Developers build a reusable, brand-consistent video template once,
- Marketers can update it anytime using natural language,
- and you can export a production-ready MP4 in minutes.
The approach evolved a lot during this launch. I started thinking "AI video generator," but quickly realized the real wedge is collaboration + editability. So I leaned into code-based templates as the source of truth, then built the AI chat editing layer on top so non-developers can iterate without touching code. As people started asking for reusable starting points, templates naturally became a distribution channel — which is why we added community templates + creator rewards.
If you’re in DevRel/PMM and you've ever had the dreaded "can we update the demo video?" request, I'd love your feedback. Reply with your worst video-update pain story — I’ll help turn it into a template.
Launch offer: start free with 50 credits.
Congrats! Very cool - working on product launch video and will try it out
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Hunter
@daniele_packard Thanks! 🙏 It’s still pretty early and there’s a lot to improve. If you try it and have any feedback, I’d really appreciate it — happy to iterate and make it smoother based on real use cases.
ChatPal
Congrats! Very cool - working on product launch video and will try it out
@daniele_packard Thanks! 🙏
It’s still pretty early and there’s a lot to improve.
If you try it and have any feedback, I’d really appreciate it — happy to iterate and make it smoother based on real use cases.