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Open Call for Proposals: Public Goods for NEAR Protocol - 2025'Q4

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Ussyalfaks's Submission#420

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USDC$18,000 to be paid inUSDC

Status: Rejected

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Application Date

24 Dec 2025

Submission Title

Nearlings: Interactive Exercise Platform for NEAR Protocol Development

Title

Interactive Exercise Platform for NEAR Protocol Development

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Why Nearlings Matters: The Starklings Story

When I was learning Cairo for Starknet, we used Starklings as part of our learning process. Our tutor would assign specific exercises as homework to be completed before the next class. We were expected to work through these exercises independently, without documentation, focusing purely on problem-solving and understanding the concepts hands-on.

In the next session, the tutor would ask us to explain what we worked on and what we learned. This made it very easy for the tutor to immediately see who understood the topic and who didn’t. When someone struggled, they could ask questions, misconceptions were corrected, and the tutor would go deeper into the topic where needed.

This simple cycle of practice → explanation → clarification significantly improved my understanding of Cairo and helped the tutor validate whether the class was actually learning what was being taught.


Why I’m Building Nearlings

Because this method worked so well for me while learning Cairo on Starknet, I am applying to build Nearlings to bring the same proven learning model to NEAR communities.

Nearlings will enable community tutors and instructors to:

  • Assign targeted exercises before classes or meetups

  • Let students learn by doing, guided by tests instead of step-by-step tutorials

  • Track real progress automatically through GitHub integration

  • Quickly identify who understands the material and who needs help

  • Create interactive, feedback-driven learning sessions

By applying this approach, Nearlings will help NEAR communities teach developers how to truly think and build on NEAR, not just follow examples.


Why this approach works:

  • Eliminates distractions by separating exercises from documentation, keeping learners focused solely on problem-solving.

  • Creates natural checkpoints for instructor feedback and clarification

  • Forces learners to articulate their understanding, building confidence

  • Develops muscle memory and language intuition

  • Scales perfectly for bootcamps, university courses, and community group.

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