AI Model Hub for Fast Experimentation and Publishing

At a glance

A one-stop platform where developers can browse models, run them locally with one SDK, and showcase projects back to the community.
As the Product Design Lead, I streamlined setup into a one-time SDK and designed quantization comparisons, driving a 30% SDK download rate and 6k+ GitHub stars in three months.

Company

Nexa AI

Timeline

3 months

Team

4 eng, 1 PM, 3 designers

My role

Product design lead

Problem

Fragmented Workflow Slows Developers Down

Today, indie developers waste time hunting models, configuring environments, and struggling to share results—breaking flow and limiting exposure.

HMW

How might we help developers run, build, and showcase AI projects seamlessly?

Solution

One Hub for Every Step of Running On-Device Models

Instead of jumping across 5+ fragmented tools, developers can now discover, run, and share models in one seamless flow. Nexa Model Hub reduces setup friction, guides users at each step, and closes the loop by bringing projects back into the community.

Clear SDK Guidance for Every Setup

Developers get explicit download instructions for each SDK version, removing guesswork and reducing onboarding time.

Browse and Filter Models Across Modalities

A unified interface makes it easy to explore or quickly filter multimodal models—cutting through noise and surfacing what’s relevant.

One-Click Quantization with Copyable Code

Each model page presents quantized versions side by side, with ready-to-run code snippets that launch instantly in local environments.

Closing the Loop with Community Uploads

After building projects locally, developers can publish them back to the hub for visibility, feedback, and reuse—turning individual runs into shared progress.

Related works

View my other work