I’m working on VectorIhub, a platform where developers can deploy, manage, and collaborate on machine learning models straight from GitHub. You push your repo — we detect the model, handle the environment, and give you an endpoint.
I built this to simplify deployment for solo devs, AI hackers, and small teams who want a no-fuss setup. The current version is in private beta, and I’d love early feedback.
This started as a side project to simplify how developers deploy ML models. I got tired of configuring environments and wiring up endpoints manually every time. With VectorIhub, you push your GitHub repo, and we handle the rest: detect the model, set up the backend, and give you a working endpoint.
The current MVP supports basic GitHub integration and model environment detection (TensorFlow).
We’re in waitlist mode right now. If you're curious or want to help shape the platform early, I’d love to have you.
I’m working on VectorIhub, a platform where developers can deploy, manage, and collaborate on machine learning models straight from GitHub. You push your repo — we detect the model, handle the environment, and give you an endpoint.
I built this to simplify deployment for solo devs, AI hackers, and small teams who want a no-fuss setup. The current version is in private beta, and I’d love early feedback.
You can join the waitlist here: https://www.vectorihub.com/
Would love your thoughts and suggestions. AMA!
This started as a side project to simplify how developers deploy ML models. I got tired of configuring environments and wiring up endpoints manually every time. With VectorIhub, you push your GitHub repo, and we handle the rest: detect the model, set up the backend, and give you a working endpoint.
The current MVP supports basic GitHub integration and model environment detection (TensorFlow).
We’re in waitlist mode right now. If you're curious or want to help shape the platform early, I’d love to have you.
Ask me anything