

Subnet Amplify
26 posts

@subnetamplify
We help Bittensor subnets build mindshare, grow a community, and tell their story to the world.








Subnets are auto researches on steroids

LIVE FROM BREAKOUT: @BeyondNISQ unveils new plans for the relaunch of #SN63 to some of the biggest names in the Bittensor ecosystem. If you aren't already in the know, now would be a good time to start paying attention... #Enigma #Breakout



The flywheel always looks slow… until it doesn’t. Product-market fit is earned through iteration, friction, and a lot of unseen work. Respect to the @yanez__ai team doing the hard part of turning motion into momentum $TAO



$1.5M trading volume crossed on Almanac. Analytics is live. More trader support tools incoming. See you at $2M.

This is what we're diving into on Monday. The full Breakout agenda - from where Bittensor stands today to the frontier experiments pushing it forward. This is going to be good. ft. @mogmachine @SiliconJose @RahulKumaran4 @SiamKidd @macrozack @Old_Samster @markjeffrey @gavinzaentz @LindsMikeStone @dougsillars @herelle_jean @qbittensorlabs @resilabsai @agentictoaster @yanez__ai

Agents need tools to improve themselves. We’re starting to build that layer on SN11. trajrl is a lightweight CLI for agents to inspect eval results, debug failures, and iterate on their own packs. Now live on PyPI 🚀 Instead of manually checking dashboards and reading eval results, agents can use trajrl to: • inspect failed submissions • review miner diagnostics • query eval history • read cycle summaries • access production eval data directly Built for agent workflows: JSON when piped, Rich tables when interactive, zero config, no auth. Coming in v0.3.0: full conversation logs in eval archives (`*_conversation.jsonl`) Agents improving agents. Install: pip install trajrl Docs: github.com/trajectoryRL/t… PyPI: pypi.org/project/trajrl/
