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Describe your project in a short pitch. Add a URL where users can check your project in more detail, like your website or GitHub repo.

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(example: boost by 10 points = 10 guaranteed clicks by 10 different users)

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When you run out of points, just view more pitches from other users to earn points.

  • Asyncpal
    Preemptive concurrency and parallelism for sporadic workloads
    Preview url

    Preemptive concurrency and parallelism for sporadic workloads. Asyncpal is a Python library designed for preemptive concurrency and parallelism. It achieves concurrency using the thread pool design pattern that it extends with processes to enable parallelism.

    Visit project (+1 point)
  • Typesync
    Autogenerate Firestore model types for all platforms
    Preview url

    Typesync is an open-source schema management tool that simplifies managing Firestore databases. It allows you to maintain a single source of truth for your Firestore architecture in a special schema and auto-generate type definitions for multiple platforms like TypeScript, Swift and Python.

    Visit project (+1 point)
  • Devlog
    Automatically generate blog posts from your Git commit history
    Preview url

    Devlog is a powerful tool that automatically generates (b)log posts from your Git commit history, providing a natural language summary of your development progress. It uses ollama to generate the blog posts locally so it never sends your data to third-party servers.

    Visit project (+1 point)
  • μploader
    Simple micro file uploader written in Go
    Preview url

    A simple micro file uploader written in Go that can be used to easily move and share files across the local network between devices with a web browser. It only uses Go Chi and pflag as dependencies and the releases provide a statically linked binary for Linux.

    Visit project (+1 point)
  • Slowstore
    Simple key-value store that stores your objects as JSON on file system
    Preview url

    Simple key-value store that stores your objects as JSON on file system. It directly maps your Python objects to JSON files. It is designed to be easy to plug into your program, without need of servers, connection strings, or any setup just set the directory where you would like to store your files.

    Visit project (+1 point)

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