Fuser has been very useful in my creative workflow. I used to rely on a single AI model and would spend a lot generating multiple versions without getting the results I wanted. With Fuser, I can try different video models in one place, which makes it easier to figure out which model is better for the animation I am trying to create. Being able to use both free and paid models in the same workspace also helps me keep costs down. I usually start with the free options and only use credits if I need something more specific.
I’ve worked with node-based 3D animation software for over a decade, so the node layout in Fuser feels familiar. I like being able to see the entire process—from the initial sketch through the more polished versions—laid out in one canvas. Overall, it’s been a practical and efficient way to experiment with different models and manage my workflow
The multiplayer aspect sounds promising. How do permissions work when multiple people edit the same project?
Fuser
@ranjan_kumar45 only one person can be editing a node at a time. Multiplayer on the canvas is supported through a teams plan, so you only have to consider this when you have multiple people in a workspace. That said, each project is private by default when first created, even in a teams workspace. If you decide to share the project with the rest of your team, they do have the ability to make changes to an app if you are not actively editing it. But there is built in versioning control. We are adding fine-grain version control based on user-specific roles and access.
Documentation.AI
How portable are projects? Can users export or self-host apps if they eventually outgrow the platform?
Fuser
@roopreddy Yes, you can download the bundle and move it elsewhere as needed
Fuser
Hi PH! Hirad here, co-founder and CTO.
We've all got a graveyard of ideas that never left the deck. An interactive concept that never got past the render. A microsite the studio scoped and quietly shelved. The experiential thing the whole room loved in the pitch, killed by a build timeline nobody could afford.
The ideas were never the problem. The distance between "this should exist" and "this is live and someone can actually touch it" was — everything between the concept and the build, where the good ones quietly die.
Fuser Apps is us closing that distance. You describe the thing you wish existed and it goes live — a real link you can put in front of a client or a room, from your phone, before the idea gets cold.
We've put more real (and more gloriously weird) little things into people's hands in the past week than in the years before it, because the cost of actually making one dropped to basically nothing.
Go make something and put it in front of someone. Then come break it and tell us what's missing — we're here all day.
P.S. @chrismessina hunted us — thank you, truly.
Spent a few minutes dragging nodes around and genuinely liked how fast it felt to wire up different models side by side. The canvas stays smooth even when you stack a dozen connections, which is rare.
Fuser
@ensar33961 Hey Ensar! So glad you appreciate these details, and tried it out for yourself. Our team are professional artists, designers, educators, and engineers. So we know first-hand how important it is to optimize for performance and control when trying to ship an idea to completion. Please let us know if you make any creative work, and feel free to share any feature requests with us.
Can teams collaborate on the same canvas simultaneously, similar to Figma or multiplayer whiteboards?
Fuser
@himani_sah1 Yes! You can learn more about that here.
Nas.com
Can published apps connect to external APIs and databases without custom backend code?
Fuser
@nuseir_yassin1 Every app can be SSR'ed so you can add your keys to the backend code. We are adding a secret manager very soon
Makes sense on the recovery side. The bit I keep poking at is latency more than bad output. A node that took 6-8s while I was iterating felt totally fine, but on an end user's tap that same wait kills the whole thing. When we shipped agent stuff the move that saved us was memoizing node outputs by input hash, so repeat inputs came back instant and only cold ones actually hit the model. Does a published Fuser app cache node results per input, or does every interaction re-run the graph live?