MuseVideo – AI Video Generator with Sora 2, Veo 3, and Wan 2.5

Hacker News

Hey HN! I built MuseVideo, an AI video generation platform that gives you access to multiple state-of-the-art models in one place. What it does: - Text-to-video and image-to-video generation - Supports Sora 2, Sora 2 Pro, Veo 3.1, Wan 2.5, and more - Text-to-image with Nano Banana, Seedream, and Z-Image - Pay-per-use credits system (no forced subscriptions) Why I built this: Getting access to cutting-edge video AI models is fragmented – different APIs, different pricing, different interfaces. I wanted a single platform where creators could pick the right model for their needs: fast/cheap for drafts, high-quality for final output. Tech stack: Next.js 15, React 19, PostgreSQL with Drizzle ORM, Stripe, Cloudflare Pages. The credit system only charges on successful generation – if the AI fails, you don't pay. I'd love feedback on the UX and pricing model. What features would make this more useful for your workflow?

Visit product View on Hacker NewsDec 29, 2025

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

94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, stripe, models · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform, interface · Missing: plus, intuitive, reviews

59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

28%28% 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: subscription · Missing: arr, mrr, revenue

20%20% 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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