Emoji Scavenger Hunt is an experiment that leverages the power of neural networks and your phone’s camera to identify the real world versions of the emojis we use every day.
Open-source, multi-platform harness for AI agents - a native, multi-threaded operator's console (JVM, not Electron) to run Claude Code, Codex, Gemini or OpenCode with a real browser, terminal, editor, secrets & 200+ MCP tools. Built for enterprises, science & research.
Use Unity 3D character and Python deep learning algorithms to stream as a VTuber.
Key parameters and specifications
Key parameters and specifications
Parameter
Value
Language
TypeScript
Category
Applications
Subcategory
Content creation
Keywords
Audio production
Stars
811
Forks
91
Contributors
4
Created date
2024-12-31
Updated date
2026-10-13
Stars in 1 day
0
Stars in 7 days
-2
Rank
13,577
Previous rank
13,469
Rank change
-108
7-day stars rank
18,419
Previous 7-day stars rank
18,355
7-day stars rank change
-64
Total stars rank
13,191
Previous total stars rank
13,172
Total stars rank change
-19
README summary
GitPodcast Turn any GitHub repository into an engaging podcast in seconds. You can also replace with in any Github URL to access its podcast. 🚀 Features 👀 **Instant Podcast**: Convert any GitHub repository structure into a podcast 🎨 **Customization**: Choose Voices (WIP) ⚡ **Fast Generation**: Powered by OpenAI and Azure Speech SDK 🌐 **API Access**: Public API available for integration (WIP) 💰**Cost Effective**: Free (via Gemini Flash + Azure Speech SDK) ⚙️ Tech Stack **Frontend**: Next. js, TypeScript, Tailwind CSS, ShadCN **Backend**: FastAPI, Python, Server Actions **Database
**: PostgreSQL (with Drizzle ORM) **AI**: OpenAI 4o / Azure Speech **Deployment**: Vercel (Frontend), EC2 (Backend) **CI/CD**: GitHub Actions **Analytics**: PostHog, Api-Analytics 🛠️ Self-hosting / Local Development 1. env) Then edit the file with your OpenAI API key for SSML and Azure AI Speech Key for TTS ( You can also use for the SSML. You will need to change the code from to . Run backend Logs available at The FastAPI server will be available at 5. Start local database When prompted
to generate a random password, input yes. The Postgres database will start in a container at 6. Initialize the database schema You can view and interact with the database using 7. Run Frontend You can now access the website at and edit the rate limits defined in in the generate function decorator. Please feel free to submit a Pull Request. Acknowledgements Shoutout to [Romain Courtois/Ahmed Khalil]'s Gitingest and Gitdiagram for inspiration and styling 📈 Rate Limits I am currently
hosting it for free with the following rate limits. If you would like to bypass these, self-hosting instructions are provided. I also plan on adding an input for your own OpenAI API key. Podcast generation: 15 API calls/minute via Gemini Flash Exp. 5 million characters for SSML -> Speech (via Azure Speech Service) 🤔 Future Steps Allow user to choose Voices Remove dependence on Anthopic of token count Allow user prompts
Frequently asked questions
How many stars and forks are recorded?
BandarLabs/gitpodcast has 811 stars and 91 forks.
What is the repository rank?
BandarLabs/gitpodcast is ranked 13,577.
What language and category are recorded?
BandarLabs/gitpodcast has 811 stars, uses TypeScript and belongs to Applications.
Which repository is closest in rank?
BandarLabs/gitpodcast is compared with ZHO-ZHO-ZHO/ComfyUI-PhotoMaker-ZHO, ranked 13,579 with 811 stars.
README
GitPodcast
Turn any GitHub repository into an engaging podcast in seconds.
You can also replace hub with podcast in any Github URL to access its podcast.
🚀 Features
👀 Instant Podcast: Convert any GitHub repository structure into a podcast
🎨 Customization: Choose Voices (WIP)
⚡ Fast Generation: Powered by OpenAI and Azure Speech SDK
🌐 API Access: Public API available for integration (WIP)
You can also use Gemini Flash for the SSML. You will need to change the code from OpenAIService to GeminiService.
Run backend
docker-compose up --build -d
Logs available at docker-compose logs -f
The FastAPI server will be available at localhost:8000
Start local database
chmod +x start-database.sh
./start-database.sh
When prompted to generate a random password, input yes.
The Postgres database will start in a container at localhost:5432
Initialize the database schema
pnpm db:push
You can view and interact with the database using pnpm db:studio
Run Frontend
pnpm dev
You can now access the website at localhost:3000 and edit the rate limits defined in backend/app/routers/generate.py in the generate function decorator.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Acknowledgements
Shoutout to [Romain Courtois/Ahmed Khalil]'s Gitingest and Gitdiagram for inspiration and styling
📈 Rate Limits
I am currently hosting it for free with the following rate limits. If you would like to bypass these, self-hosting instructions are provided. I also plan on adding an input for your own OpenAI API key.
Podcast generation:
15 API calls/minute via Gemini Flash Exp. 2.0 for Github -> SSML
0.5 million characters for SSML -> Speech (via Azure Speech Service)
