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