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Open-source agentic video editor for dev tools and side projects

Hacker News

Open-source agentic video editor for dev tools and side projects

Describe your product, drop a repo link, and the agent reads your actual code and builds multi-scene videos with animations, ElevenLabs voiceover, and branded scenes. Live editor lets you chat with the agent to tweak scenes in real time. Stack: Next.js, Remotion (in-browser rendering), Convex (real-time state). GitHub: https://github.com/ostepan8/subconscious-remotion-demo Demo: https://subconscious-remotion-demo.vercel.app/

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent, agentic, elevenlabs · Missing: mac, agents, macos
97%97% 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.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
53%53% 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
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, real time · Missing: web3, crypto, cryptocurrency
16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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