I built an AI Agent that turns prompts into a SaaS explainer videos

Hacker News

I got mass jealous of all these fancy explainer videos, so I built something I like designing, it's genuinely satisfying work. But motion design? That's a different beast. Time-consuming doesn't even begin to cover it. I kept seeing all these polished explainer videos on X or reddit. Smooth transitions, perfectly timed text animations, the whole package. And every time I thought "I could do that for my project", then reality hit. Learning AE properly takes a lot of time. Existing browser tools are either too basic or feel like piloting a spaceship. So I did what any reasonable developer does when frustrated, I started building my own thing. It's a browser-based motion design tool. No downloads, no subscriptions to Adobe, no 47-step tutorials just to animate text flying in. You just prompt an AI Agent. Done. I've been working on this for a while now and honestly, I'm at that stage where I need fresh eyes. What would make something like this actually useful for you? What's the biggest pain point when you want to make a quick promo video or explainer?

Visit product View on Hacker NewsJan 29, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, plain · Missing: mac, agents, macos

92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: saas, subscription · Missing: arr, mrr, revenue

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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