Openτensor Foundaτion

@opentensor · joined 17 Jun 2021

Incentivizing intelligence

170 869Followers

1Following

2 701Posts total

163.9KViews on collected posts

Against accounts of the same size

15 posts from the last 90 days, next to the 100K–1M follower range. reaches fewer people than peers of the same size.

Median views2 392this account5 930median for 100K–1M

Reach, %1.40%this account2.48%median for 100K–1M

Engagement, %1.24%this account1.41%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	2 392	5 930	0.40×
Reach (views ÷ followers)	1.40%	2.48%	0.56×
Engagement rate	1.24%	1.41%	0.88×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

2.4K4 Aug

1.4K

2.7K

2.6K

403

1.4K23 Aug

24K24 Aug

194

9.7K27 Aug

15.4K28 Aug

14.7K30 Aug

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.46%4 Aug

2.35%

1.21%

1.30%

0.70%

0.57%

1.24%

4.04%23 Aug

0.84%24 Aug

1.55%

2.15%

0.75%27 Aug

1.16%28 Aug

1.32%30 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.41%.

What the audience does

Likes71.9%1 247 in total

Reposts13.4%232 in total

Replies5.2%90 in total

Quotes3.6%62 in total

Bookmarks6.0%104 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

https://t.co/zb16oEUkvd 14.7K views · 145 likes · 33 reposts · 11 replies 30 Aug 2026 This first-person shooter was built from a single prompt, using 404-generated 3D assets. On the latest Novelty Search, @404gen_ explains how SN17 is moving from Titan, its open image-to-3D model built with miners, toward 3D assets generated as code that AI agents can edit and ht 15.4K views · 138 likes · 25 reposts · 11 replies 28 Aug 2026 Novelty Search :: SN17 404 :: Generative 3D & Agentic World Models https://t.co/CP4tGywkXs 9.7K views · 63 likes · 5 reposts · 2 replies 27 Aug 2026 @opentensor bittensor:native 93 views · 2 likes · 0 reposts · 0 replies 24 Aug 2026 @opentensor I omitted some 🤦‍♂️ https://t.co/nDvuSbt3pA 194 views · 2 likes · 0 reposts · 1 replies 24 Aug 2026 https://t.co/ecMiboQRw8 24K views · 152 likes · 32 reposts · 9 replies 24 Aug 2026 > last week in Bittensor bittensor:native expanded beyond its native ecosystem, while subnets pushed further into real-world demand, commercial applications and new economic models. Here are the biggest developments. 🧵 https://t.co/JA5hbLvXdK 1.4K views · 36 likes · 7 reposts · 10 replies 23 Aug 2026 @opentensor How does this mitigate the validator cabal and shadyness that was the initial driver behind changing how validators work? Now seemingly reversing. 403 views · 4 likes · 0 reposts · 1 replies 04 Aug 2026 Resources > Release notes: https://t.co/ws4OIj6RgR > Documentation: https://t.co/Q5wLg7qBxL 2.6K views · 14 likes · 0 reposts · 1 replies 04 Aug 2026 Root yield is no longer limited to TAO compounding. It can also grow through subnet emissions and changes in alpha prices. Stakers can compare validator returns and move their stake toward the validators that perform best. More stake gives those validators more root yield to htt 2.7K views · 18 likes · 0 reposts · 1 replies 04 Aug 2026 Root validators now curate subnet baskets and compete on their returns. Subnets compete for a share of those baskets, because that share determines how much root buy flow they receive. Subnets outside a validator’s basket still face the same root sell pressure as before, but htt 1.4K views · 16 likes · 0 reposts · 1 replies 04 Aug 2026 For root stakers, validator choice now matters more because each validator can build a different subnet basket. Your TAO stays on root, but your yield depends on the performance of the subnets in that basket. When you claim, your share is converted to TAO and added to your https 1.4K views · 15 likes · 0 reposts · 2 replies 04 Aug 2026 With Root Reborn, each validator builds a subnet basket and sets the share of each subnet in it. The protocol sells the alpha into TAO, then immediately uses that TAO to buy the basket. The larger a subnet’s share, the more buy flow it receives. https://t.co/Dea8JIEmGf 2K views · 42 likes · 5 reposts · 1 replies 04 Aug 2026 Before Root Reborn, the protocol paid root stakers by automatically selling alpha from every subnet into TAO. That TAO was then added to their stake. It used the same process for every subnet, regardless of quality or performance. https://t.co/S27ZuYi9J0 2.4K views · 30 likes · 3 reposts · 1 replies 04 Aug 2026 Introducing Root Reborn: a new market for optimizing TAO yield across Bittensor. Validators compete to build the best-performing subnet baskets. Successful strategies can attract more stake, so more root yield goes toward the subnets that create the most value. https://t.co/0xKV 85.5K views · 570 likes · 122 reposts · 38 replies 04 Aug 2026