Re

Revideo – Create Videos with Code

Hacker News

Revideo – Create Videos with Code

Hey HN! We’re building Revideo ( https://github.com/redotvideo/revideo ), an open source toolkit that lets you programmatically create and export videos with the animation library Motion Canvas ( https://github.com/motion-canvas/motion-canvas ). This is useful whenever you want to build apps that automate certain video tasks, which is increasingly possible using AI tools - for instance, one of our first users is building an app that turns code documentation into video tutorials. Revideo extends Motion Canvas with features that are essential for creating video, such as the ability to export audio tracks, a nodejs package for headless, parameterized & much faster rendering, and audio components that make audio editing and syncing easier. While Motion Canvas aims to be a standalone editor [1], we want to build a set of libraries that lets developers integrate video editing functionality into their apps. Our goal is to provide an open-source alternative to Remotion ( https://github.com/remotion-dev/remotion ). At the start of this year, we explored a bunch of product ideas in the space of AI-based video creation. For example, we’ve built apps that automatically create educational short videos and have experimented with automatically A/B testing and personalizing video ads. While building these products, we were frustrated with the video editing frameworks we used: Moviepy ( https://github.com/Zulko/moviepy ), which we relied on initially, doesn’t offer a way to preview your videos, so we’d often have to wait minutes for a video to render to test our code changes. Remotion ( https://github.com/remotion-dev/remotion ), which we switched to later, is really good, but we didn’t want to rely on it as it is not open source (source-available only). That’s why we decided to build Revideo. We’d already been following Motion Canvas for some time and really liked using it, so we thought that extending it would get us to something useful much faster than building an animation library from scratch. Initially, we tried to build our features as Motion Canvas plugins, but this did not provide enough flexibility to achieve the desired functionality. Additionally, video-specific features (such as audio support) were generally considered out of scope by the Motion Canvas maintainers, which is why we ultimately ended up creating a fork. We’re unsure if this is the right way to go in the long term, and would prefer to find a way to build Revideo without diverging from Motion Canvas too much - if you have suggestions on how to solve this, we’d love your input. Compared to Remotion, which builds on top of React, Motion Canvas uses the HTML Canvas API and makes you define animation flows with generator functions. Its API is more “procedural”, as it makes you define the things that happen in your animation as a sequence of yields, whereas Remotion gives you a frame number and lets you declare how your video should look like at that frame. Our current focus is improving the open source project. In the long term, we want to make money by building a rendering service for developers building apps with Revideo. Such a service would offer a pretty similar deployment experience to Vercel, but instead of web apps, we let developers deploy Revideo projects and expose a rendering endpoint for them. Letting us manage the infrastructure will allow us to offer much faster rendering, as we can massively parallelize rendering jobs on our servers (e.g. spinning up 100 headless browsers that render 100 frames each to render a video with 10,000 frames). We’d love to hear your feedback and suggestions! You can find our repo at https://github.com/redotvideo/revideo , We’ve also released an example video editing app at https://github.com/redotvideo/revideo-saas-template . Thank you! [1] “Motion Canvas is not a normal npm package. It's a standalone tool that happens to be distributed via npm.” - https://github.com/orgs/motion-canvas/discussions/1015

Share card

Actual performance

8points
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, tasks · Missing: mac, agents, macos
96%96% 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: para · Missing: supports, reddit linkedin, podcasting
91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, 000 · Missing: https docs, excited, just released
73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: personal, apps, video · Missing: mobile apps, ios, entrepreneurs
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: make money, audio · 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

Similar products

Re
Revideo – Create Videos with Code75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Revideo – Create Videos with Code

Hacker News298
Da
DarkGen – Create deepfake videos of anyone52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DarkGen – Create deepfake videos of anyone

Hacker News12
Re
Revideo – Create Videos Programmatically75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Revideo – Create Videos Programmatically

Hacker News2
Cr
Create Animated Code Videos46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Create Animated Code Videos

Hacker News2
Ma
Make sharable videos of your code50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Make sharable videos of your code

Hacker News1
Pa
Pandora for videos42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pandora for videos

Hacker News2
Hy
Hyperlaspe videos42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hyperlaspe videos

Hacker News2
Sk
Skimmable Videos42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Skimmable Videos

Hacker News16
FL
FLUCK – soundcloud for videos44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FLUCK – soundcloud for videos

Hacker News5
Coverr
Coverr69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Unsplash for videos

Indie Hackers9$18,000/moapis