This project aims to eliminate friction in creating an indie project and launch quickly
TODO:
Auth:
- supabase auth ✔️
- auth0
- clerk
- firebase
Communications:
- msg91 ✔️
- twilio ✔️
- ses (manage)
- resend
- postmark
Backend:
- health check endpoint ✔️
- cors config ✔️
- best practices
- pydantic ✔️
- pydantic settings ✔️
- uv : https://pypi.org/project/uv/ ✔️
- pyenv for virtual environment ✔️
Test:
- pytest ✔️
Database:
- supabase ✔️
- mongodb
Containers:
- Dockerfile ✔️
- docker-compose.yaml ✔️
Caching:
- upstash ✔️
CI/CD:
- github actions ✔️
Queueing:
- qstash ✔️
- celery + redis
Infra:
- supabase edge functions
- fly.io ✔️
- Digital Ocean
- railway
- render
- coolify + hetzner
Front end using python
- Reflex
- Streamlit ✔️
- Chainlit
Frontend:
- NextJS ✔️
- Vercel deployment ✔️
- Tailwind ✔️
- React ✔️
AI:
Libraries:
- transformers
GPU and compute:
- modal
- replicate
- fal.ai
LLM inference as a saas API:
- together ✔️
- groq ✔️
- openrouter ✔️
- cerebras ✔️
- huggingface
- Vercel
Finetuning
- together ai ✔️
Host your own model
- together ai ✔️
Gateway
- openrouter ✔️
embeddings API as a service:
- cohere ✔️
- openai ✔️
- mixedbread ✔️
embeddings library:
- langchain ✔️
- openai sdk ✔️
Agents:
- crewai ✔️
- langgraph ✔️
- google adk
No code agents -n8n
AgentOps
- composio
RAG:
- langchain ✔️
- llamaindex
Evaluation:
- ragas ️
- giskard
- phoenix
- deep eval ✔
Deduplication:
- SemHash