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

We collaborated with the vibrant Remotion Open-source community to find the answer for using GPU with Remotion for server-side rendering. After encountering some setbacks on our way, we were able to make it work for Remotion eventually. We consolidated our findings in the Remotion Docs at Using the GPU in the Cloud and simplified the instructions for Remotion developers to make the most out of it. Although the whole research was done for Remotion, the same process will work for any headless application that requires GPU power, especially in headless mode.

Under the hood, it is powered by: - Remotion - Google TTS - OpenAI

When I was talking with Jonny Burger (the creator of Remotion) about the challenges small open source projects face and how it becomes harder for individual maintainers who work because of their goodwill to carry their project forward, I did not realize the conversation would give birth to the idea of Relano.

I loved the idea of creating videos with dynamic data using Remotion, and started to dabble with it. I had a vague idea that it can be used to make simple videos that convey some text.

thank you for your input! the best way to ensure everyone has a great experience is to spec & scope bounty issues + provide acceptance criteria.

you can look at Remotion's 17 completed bounties, where specs & acceptance criteria are always included: https://github.com/remotion-dev/remotion/issues?q=label%3A%2...

that being said, we have only had a handful of projects using OSS bounties so far so we haven't seen everything under the sun. I acknowledge what you mean by blurry lines and how/when they might occur. but as I said before, when specs/scope/acceptance-criteria are in place, it's really hard to go wrong

7: Remotion

I recently worked on a hobby project recently that used ffmpeg and Remotion to render short videos before uploading them to Cloud Storage from a Cloud Run service. I used Pub/Sub to start renders by pushing messages to a rendering container with the info required to generate a video.

As for the PRs, one of our developers, Stefan Uzunov improved the Remotion CLI by adding some enhanced interactivity and sane defaults when picking which composition gets rendered, while Ilija Boshkov contributed by packaging an existing component into a mainline Remotion package for adding motion blur to Remotion videos.

If you don't have to stay in AE, you could look into ReMotion which can create animations by code and export a video file.

import { unstable_noStore as noStore } from "next/cache"; import Link from "next/link"; import { CreatePost } from "~/app/_components/create-post"; import { getServerAuthSession } from "~/server/auth"; import { api } from "~/trpc/server"; export default async function Home() { noStore(); const hello = await api.post.hello.query({ text: "from tRPC" }); const session = await getServerAuthSession(); return (

Create T3span> App h1>

First Steps →h3>

Just the basics - Everything you need to know to set up your database and authentication. div> Link>

Documentation →h3>

Learn more about Create T3 App, the libraries it uses, and how to deploy it.div> Link> div>

{hello ? hello.greeting : "Loading tRPC query..."}p>

{session && Logged in as {session.user?.email}span>} p> {session ? "Sign out" : "Sign in"} Link> div> div> div> main> ); } async function CrudShowcase() { const session = await getServerAuthSession(); if (!session?.user) return null; const latestPost = await api.post.getLatest.query(); return (

{latestPost ? (

Your most recent post: {latestPost.name}p> ) : (

You have no posts yet.p> )} div> ); }

I thought he was making stuff up - "t3 stack vs t4 stack". But about 2 minutes in, I realized that I'd heard of a few things that he's talking about so I looked it up and they're real!

I think it's possible everything he's saying is true, more or less. LOL

t3: https://create.t3.gg

t4: https://t4stack.com

We start with a project that was bootstrapped with create-t3-app. For internationalization we use next-intl and set it up as described in the getting started guide. With this initial project setup we can jump into implementing localized error messages.

I used create-t3-app to scaffold the Next.js app, with TypeScript, Prisma, and "app router" enabled in the options. You can also use create-next-app for the job and install Prisma manually.

I agree that the quantity of publicly available code isn't the most reliable indicator of someone's seniority.

My issue with this individual arises from the discrepancy between his public claims of significant expertise in the content he produces. He positions himself as a highly experienced developer, attracting a large following of junior developers who take his advice at face value.

I am trying to collect data points supporting his claims of seniority. For instance, his website prominently features a statement that he is the creator of the T3 Stack. However, a review of the contributor statistics for the T3 Stack (https://github.com/t3-oss/create-t3-app/graphs/contributors)... minimal contributions from him, which raises questions about the validity of his claims.

I would recommend - https://create.t3.gg/

It uses the following, which as of late are pretty well know and common, so you can punch in your problems to stackoverflow, google, or chatgpt and get some pretty good answers.

It uses:

Nextjs (React), typescript, trpc (typescript rpc), auth, tailwind, and Prisma (ORM)

Though of course these could go out of fashion tomorrow, but I don't think the essential idea behind these libs and frameworks are that wacky, unique or unordinary.

Prisma ORM, is a little opinionated, and you could swap it out for Drizzle, which is basically typescript side sugared SQL.

TRPC might be also be a little sticky because it is tied to typescript, this is the tradeoff for the buttery smooth coupling for the fullstack experience. I think there exists a typed-rest solution out there, but haven't used it.

Personal anecdata, I used this stack for a little hobby project and it was FUN.

Open SaaS was built with Typescript, and because it’s a full-stack app, type safety from the back-end to the front-end can be a real lifesaver. I mean, some opinionated stacks have gotten hugely popular on this basis.

Let's start by creating a Next.js application. We will use the T3 stack (TypeScript, TailwindCSS, and Prisma ORM) for this tutorial to skip installing and configuring all the dependencies which is out of the scope of this article. You can find more information about the T3 stack.

https://github.com/t3-oss/create-t3-app

You still would need to add Stripe but there are so many examples publicly available that it should be straight forward