SoVideo – Free AI video generator using Sora 2

Hacker News

I built SoVideo ( https://sovideo.ai ), a free AI video generator powered by Sora 2. It lets users create high-quality videos from text descriptions without professional skills. The platform is built with: - WebM/MP4 export (no watermarks) - Browser-based rendering (no installation) - Limited free credits for new users - Real-time preview Technical stack: - Frontend: React + Tailwind CSS - Backend: Node.js + Express - Video generation: Sora 2 API integration - Storage: Cloud-based with fast CDN The goal is to make AI video generation accessible to everyone. Looking for feedback on UX and performance.

Visit product View on Hacker NewsJan 30, 2026

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

80%80% 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.

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

63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, using · Missing: mac, agents, macos

54%54% predicted probability of success on Product Hunt, 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

35%35% 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 · Missing: arr, mrr, revenue

18%18% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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