#169·Proposal: Learn-and-Earn Campaigns for Polkadot Hackathon Global Series 2022

Treasury
3yrs ago
2 Comments
Executed

Proponent: NicholasHong/Tribe/StackUp 1FJCfJzPnuPTeSZnpwMetY5yZi56t2RRxvHsrAYkzwvfCFC

Date: March 2022

Overall Project Allocation: $80,000 USD

Requested Allocation Through This Submission: $50,000 USD (covers first payment milestone - phase 0 of this project - please see full proposal for more details - proposal link at the end of this post)

  • DOT amount calculated via EMA on 11 Mar 2022 at GMT+0 1111hrs - 1 DOT ~ 18.135 USD. $50k USD ~ 2757 DOT

Short description:

Reviewing Polkadot Hackathon: APAC Edition that took place in Quarter 4 2021, the organising team at AngelHack (a subsidiary of Tribe) identified gaps in the participants’ level of knowledge when attempting to learn Substrate, impacting the quality of the hackathon submissions received. By raising the number of quality of submissions, the Polkadot ecosystem can become even more vibrant.

With the series of 2022 hackathons planned by AngelHack together with Web3 Foundation, the team at Tribe aims to level up the participant’s prior knowledge of the Polkadot Ecosystem and fundamentals of Substrate pre-hackathon, in hopes to result in better submission quality.

Specifically, Tribe proposes to provide Learn-and-Earn campaigns to onboard global developers onto the Polkadot developer ecosystem, growing Polkadot’s active developer base with new developers that are equipped with strong foundational knowledge and hands-on development experience. Targeting 150 global developers to be onboarded through this engagement.

The Learn-and-Earn campaigns will be conducted through StackUp - Tribe's newest business offering - a platform that rewards developers with monetary incentives for completing tasks that level up their skills and knowledge. StackUp breaks the typical learning journey into smaller, bite-sized pieces (that we call quests), offering users real currency rewards for finishing each quest. This format of smaller exercises with incremental rewards, encourages learners to tackle more quests and learn more, as well as encourages them to follow through and finish the quest.

Full Proposal Link: Link

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