Autonomys Academy: Learning Super dApps, Agents & More
Campaign on Autonomys
Autonomys
Status
Closed
Task Type
article
Points
900
Reputation
+0.21
Special Rewards
—
Top submissions
Best entries from participants

EziekelMar1092
@EziekelMar1092 · 946
204pts
- #2

EmmaunelSax
@EmmaunelSax · 1.1K
170pts
- #3

TrustVikstar
@TrustKing120 · 1.4K
170pts
The brief
Requirements
Open to all: Anyone meeting the criteria below can join📌Summary
The Autonomys Academy—tied to the Developer Hub—offers lessons, guides, and examples to build with the Auto SDK, Auto EVM, Auto Agents, etc.
This task invites you to write a CMC Community article that outlines what you can learn from the Academy and how those learning paths empower Web3 builders.
📆 Timeline:
Sep 19 - Sep 26 (UTC 23:59)
✍️ Procedure & Requirements
Your source Link:
https://x.com/AutonomysNet/status/1967846737617494084Explore the Autonomys Academy and Developer Hub documentation (Auto SDK, Auto EVM, etc.)
Write a 200–300 word article for CoinMarketCap Community, explaining what key learning modules or features the Academy provides (e.g., example applications, tools, storage solutions, agent OS, decentralized identities).
Include at least one concrete example of how learning this could let someone build something (a project idea).
Add a link to Autonomys Academy in the article for readers to explore.
Use the $AI3 ticker and #AutonomysNetwork hashtag within the first 350 characters.
📥 Submission and Rewards
🔹 Submit your CMC post link via the dashboard as proof of work..
🔹 Don't forget to assign the miners in your circle to your task for support.
🎁 You may receive up to 500 pts and 0.1 Rep rewards based on views and originality.
Requirements
Must have a minimum of 50 X/Twitter followers to be eligible for Social Mining Tasks. If you do not have a WhoTweets account yet, please register by clicking the button below.
September 19, 2025 at 10:25 PM → September 27, 2025 at 11:59 PM
This task has ended
Rewards have been distributed to 104 participants
Analytics
How this task performed
Participants
104
unique miners
Articles
0
long-form entries



