What You Can Master at Autonomys Academy; Share Your Take
Campaign on Autonomys
Autonomys
Status
Closed
Task Type
article
Points
900
Reputation
+0.21
Special Rewards
—
Top submissions
Best entries from participants

07Raenn
@07RuelS · 50
220pts
- #2

cryptokurdu67
@cryptokurdu67 · 356
200pts
The brief
Requirements
Open to all: Anyone meeting the criteria below can join📌Summary
Autonomys Academy is your gateway to learning how to build super dApps, agents “Auto Agents”, decentralised identities, payment handling, distributed storage & compute, and more using the Auto SDK, Auto EVM, and other tools.
This task invites you to explore what the Academy offers and create a Reddit post that helps others understand its value and learning paths.
📆 Timeline:
Sep 19 - Sep 26 (UTC 23:59)
✍️ Procedure & Requirements
Your source link:
https://x.com/AutonomysNet/status/1967846737617494084.Browse the Autonomys Academy at academy.autonomys.xyz and Autonomys Developer Hub (Auto SDK docs):
Write a Reddit post (~250–350 words) explaining what kinds of skills or modules you can learn there (examples: building with Auto SDK, using the Auto EVM, deploying agents, storing data in distributed storage, etc.).
Reflect on which path interests you most and why.
Conclude with a question to encourage discussion, e.g. “Which module would you start with, and what project would you build?”
You can share your post on BlockchainStartups/bigdata/ or eligible AI subreddits.
📥 Submission and Rewards
🔹 Submit your Reddit 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 500pts and 0.1 rep rewards based on visibility 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 10:21 PM → September 26, 2025 at 11:59 PM
This task has ended
Rewards have been distributed to 20 participants
Analytics
How this task performed
Participants
20
unique miners
Articles
0
long-form entries



