Built a self-hostable AI plugin marketplace with FastAPI + Next.js – looking for feedback

[geneleo537-afk]

Hi everyone!

I recently built an open-source project called PrivClaw, a self-hostable AI plugin marketplace with built-in payments, wallet, and admin dashboard.

Tech Stack:

• Backend: FastAPI + SQLAlchemy + asyncpg
• Frontend: Next.js 15 + TypeScript + Tailwind
• Database: PostgreSQL + Redis
• Deployment: Docker Compose one-click deploy

Key Features:

• Plugin marketplace (free & paid plugins)
• Built-in wallet and payment system
• Admin dashboard
• JWT authentication (RS256 support)
• AES-256-GCM encryption for sensitive data

GitHub: https://github.com/geneleo537-afk/privclaw

As someone new to FastAPI, I'd love to hear feedback on the project architecture or any FastAPI best practices. Thanks in advance!

[awakdeni]

Hi! 👋

This is a really solid project — especially for someone new to FastAPI. The scope (marketplace + payments + wallet + admin) is quite ambitious and well thought out 👍

Here are a few suggestions that might help improve the architecture and align with common FastAPI best practices:

1. Project structure & modularization

If not already done, consider separating layers clearly:

• routers (API layer)
• services (business logic)
• repositories (database access)

This helps keep endpoints thin and makes the codebase easier to scale and test.

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2. Dependency injection (FastAPI Depends)

FastAPI’s Depends can be used more extensively to:

• inject database sessions
• handle authentication (JWT verification)
• reuse shared logic across routes

This keeps controllers clean and consistent.

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3. Async consistency

Since you’re using asyncpg, make sure:

• all DB operations are fully async
• avoid mixing sync/async (can hurt performance under load)

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4. Security considerations

You’re already doing great with RS256 + AES-256-GCM 👏

Some additional ideas:

• Rotate refresh tokens (prevent reuse)
• Add rate limiting (e.g., login / payment endpoints)
• Consider short-lived access tokens + secure cookie flags

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5. Background tasks / workers

For things like:

• payment processing
• plugin verification
• email notifications

You might want to offload them using:

• FastAPI BackgroundTasks (simple)
• or Celery / Redis queue (scalable)

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6. API validation & schemas

Make sure all request/response models use Pydantic consistently:

• strict typing
• response_model for every endpoint

This improves reliability and auto-generated docs.

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7. Observability

For production readiness:

• structured logging
• error tracking (e.g., Sentry)
• basic metrics (request time, failures)

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Overall, the foundation looks strong — especially the combination of FastAPI + Next.js + Docker for a self-hostable platform.

Great work, and keep building! 🚀

[geneleo537-afk]

Hi, thanks so much for taking the time to review my project and share these detailed feedback!
These are really valuable suggestions, and I will go through each point carefully and optimize the code accordingly.
I really appreciate your help as a new open-source developer.