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🎯 Get Paid for your Personal Projects - Cohort 2

The Software Engineering Quest

Datacurve (YC W24) is building Shipd - a platform that pays cracked developers to take part in coding challenges - and we just launched our Software Engineering quest, where you get to:
1. Get paid to work on your personal project
2. Use your repo to push the capabilities of leading AI models
3. Earn $400 - $1,600 USD (depending on project quality + complexity + size)
Here's the rundown:
- Submit a Python project authored by you (finished or almost finished)
- Write issues for your project (10 issues for small projects, 15 issues for large projects)
- Implement PRs for issues on your project
This form is Step 1 of your application! All you need is your repo + some basic info and you'll hear back within 12 hours. If you're project is chosen for Step 2, you'll be asked to answer some questions + demo your project. Are you in? 👀
About the company: Shipd is an invite-only platform for developers where you're paid to create/solve coding problems that are used to train AI! It is created by Datacurve, a YC-backed startup based on San Francisco, California. Datacurve works with the world's leading AI labs to push their models' programming capabilities using your contributions 🔥 Shipd has paid out over $400K USD to coders in the past few months. We can't wait to have you on board!

Part #1 - Basic Info (~2min)

First let us know some basic info about you:

First Name

Last Name

Email

GitHub Profile

LinkedIn Profile

Part #2 - Your Project (~3min)

Submit your private Python repo

We're looking for unique/interesting Python projects that have:
1. >15 hours of development put into it (We expect this to be at least ~2,500 written lines of code i.e. not generated by frameworks/boilerplate code)
2. Private repos (that have never been public)
Here are some examples: - Small Project Ex. 1: TinyDB - A lightweight, document-oriented database that stores and queries JSON data with a simple Python API
- Small Project Ex. 2: Tabulate - A single-file utility that transforms lists and other tabular data into formatted plaintext (or HTML/markdown) tables that’s good for display/logging
- Large Project Ex. 1: Attrs - A package that minimizes boilerplate in Python class definitions by auto-generating methods (like init and repr) based on the class’ declared attributes
- Large Project Ex 2: Click - A library for helping build CLIs by abstracting command parsing and output formatting with a declarative syntax
Note - these examples are all public GitHub repositories to demonstrate to you the size and scope of what we’re expecting, but your projects should be 100% private throughout its entire lifespan.
Upload your repo here:

How many private Python repos do you own that you would like to refactor into payout-eligible projects on Shipd?

If you have more than one, please submit this form multiple times!
Thanks for taking the time to complete this form! One final question for you:

Where did you hear about this?

If your project is selected, we'll send a follow up to your email in less than 12 hours with details on the next steps. We look forward to working with you - talk soon! 😊