The Figma of AI media generation
Nover introduces true control to AI visual creation. Instead of relying on prompts alone, you design the outcome with precision. It combines the familiar workflow of modern design tools with the limitless power of AI media generation — giving creators full control over composition, lighting, motion, and output. This is AI media production, redesigned for professionals.
Hey PH 👋 How many times have you written the perfect prompt… and still got something random? AI generation is powerful. But control? Almost none. You tweak words. You regenerate. You hope. Creators deserve better than guessing. So we built Nover. The first AI media studio designed for real control — not just prompting. With a familiar, design-tool workflow, you can shape composition, lighting, motion, camera, and structure — visually. Frame by frame. Node by node. No black box. No roulette. Just
Hey PH! I’m really excited to finally share Nover with you today. For a long time, AI media creation has been powerful but unpredictable. Designers and creators often spend hours generating, regenerating, tweaking prompts, and still struggle to get the exact visual they imagined. That means wasted time, wasted compute, and a workflow that doesn’t feel natural for creatives. With Nover, we wanted to change that. Instead of forcing creators to fight with prompts, we built a visual, designer-famili
Hey Product Hunt! I'm Yehia, one of the makers behind Nover. Working with AI is really cool but as a builder my biggest frustration is the lack of control. You can create something but if you want to change just one thing. Like lighting or a characters pose. The whole image changes. It's like taking a chance. We built Nover to solve that problem. I've focused on the engine and infrastructure. Figuring out how to take AI models and connect them to a stable design environment. We wanted to make su
Design, not prompt" is exactly the shift we needed. Our marketing team uses AI generation constantly for ads and creatives, and the amount of time wasted just re-prompting the same image hoping it comes out right is crazy. You describe exactly what you want and still get something completely off. The idea of actually having design-tool-level control over the output is a game changer for anyone producing content at volume. How does it handle brand consistency? Like can you lock in specific visual
Node based system is really being well used here!
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.