Hera Turns Text Into Motion Graphics, and 100,000 People Signed Up Before Launch

The Macro: Motion Graphics Are Stuck in 2005

I want to make a case that motion graphics is the most underserved creative category in the AI wave. Illustration has Midjourney and DALL-E. Writing has Claude and ChatGPT. Music has Suno and Udio. Video generation has Runway and Pika. But motion graphics, the animated charts and title cards and explainer visuals that power every YouTube video and corporate presentation, are still made the same way they were made twenty years ago.

That way is Adobe After Effects. If you have ever opened After Effects, you know the feeling. It is powerful and it is miserable. The learning curve is vertical. The interface looks like it was designed by someone who hates their users. A simple lower-third animation that should take five minutes takes an hour because you are fighting keyframes, easing curves, and render settings. Professional motion designers charge $100 to $200 an hour because the skill is genuinely hard to acquire.

The market is enormous and invisible. Every YouTube creator with more than 50,000 subscribers either learns After Effects, hires a motion designer, or uses templates. Templates are the most common path, which tells you something about demand. Envato sells millions of dollars worth of After Effects templates every year. People are desperate for a shortcut.

Canva added basic animation features but they are toy-grade. Lottie made it easier to embed animations on the web but you still need a designer to create them. CapCut handles video editing but treats motion graphics as an afterthought. Nobody has taken a real swing at making motion graphics creation as accessible as image generation.

The creator economy keeps growing. The number of people who need animated visuals keeps growing. The tools have not kept up. Something has to give.

The Micro: 100K Waitlist, Revenue Doubling Monthly

Hera is an AI motion graphics generator. You describe what you want in plain text. “Animated bar chart showing revenue growth from $1M to $10M.” “Logo reveal with particle effects.” “Lower-third with my name and title.” Hera generates it. You can edit the result on-canvas, apply your brand kit for consistency, and export in multiple formats.

Peter Tribelhorn and Chia-Lun Wu founded the company, splitting time between Berlin and San Francisco. They came through Y Combinator’s Summer 2025 batch with a five-person team. Peter is the kind of founder who posts build updates publicly, which I always find encouraging. Chia-Lun brings the technical depth on the AI generation side.

The traction numbers are real. Over 100,000 people joined the waitlist within eight weeks of announcement. In the first week after launch, 3,000 users generated more than 15,000 animations. The platform has crossed 50,000 total animations created. Revenue is doubling monthly. For a creative tool that is competing against entrenched incumbents, that adoption curve is aggressive.

The product has a template library of 100+ pre-built animations that you can remix, which is a smart onboarding move. New users can start by modifying something that already works rather than staring at a blank prompt. The post-generation editing is where Hera separates from pure AI generation tools. You are not stuck with what the model gives you. You can tweak timing, colors, text, and layout after generation. That bridge between AI output and human control is where the real value lives.

User reviews cluster around 4.9 out of 5 from 127 ratings. The consistent praise is speed. Projects that used to take five hours are done in five minutes. I have heard that kind of claim from every AI tool on the market, but in motion graphics the baseline is so slow that even a 10x improvement is life-changing for a solo creator.

The pricing is free to start, which is the right call for a tool trying to build a user base before competitors react. The question is how the paid tiers will look and whether creators will pay monthly for something they might only need a few times a week.

The Verdict

Hera is attacking one of the last creative categories that AI has not disrupted. The timing is right and the early traction suggests real demand. Motion graphics is a category where the incumbent tool is so painful that users will switch to anything that works at 80% of the quality in 5% of the time.

The risk is quality ceiling. AI-generated motion graphics need to look professional enough for YouTube videos with millions of views. If the output reads as “AI-generated” in the same way that early Midjourney images did, professional creators will not adopt it. The on-canvas editing helps here because it lets users polish the rough edges.

In thirty days, I want to see the ratio of exported animations to generated ones. If people are generating but not exporting, the quality is not there yet. Sixty days, I want to know whether YouTubers with large audiences are using Hera in published videos. Ninety days, the question is whether Adobe responds. They have the resources to build an AI motion graphics feature inside After Effects, and if they do, Hera needs to already have a loyal user base that does not want to go back. The waitlist numbers suggest that base is forming fast.