Illia (root.near) (🇺🇦, ⋈) ✓

@ilblackdragon · NEAR · joined 09 Oct 2009

Co-Founder @NEARProtocol. Bringing 1B users into User-Owned Internet. AI researcher. #AIAYN. RTs & likes are not endorsement. Always DYOR.

113 762Followers

457Following

9 291Posts total

83.6KViews on collected posts

Against accounts of the same size

7 posts from the last 90 days, next to the 100K–1M follower range. shown to more people than peers of the same size.

Median views13 170this account5 994median for 100K–1M

Reach, %11.58%this account2.51%median for 100K–1M

Engagement, %1.24%this account1.40%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	13 170	5 994	2.20×
Reach (views ÷ followers)	11.58%	2.51%	4.61×
Engagement rate	1.24%	1.40%	0.89×

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

17.6K30 Aug

19.8K

17.4K1 Sep

1.8K2 Sep

13.2K

2.1K4 Sep

11.7K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.29%30 Aug

1.68%

1.49%1 Sep

0.28%2 Sep

1.09%

0.90%4 Sep

1.24%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.40%.

What the audience does

Likes80.5%918 in total

Reposts7.6%87 in total

Replies10.7%122 in total

Quotes0.5%6 in total

Bookmarks0.6%7 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

Watch "Why Open Models and Open Science Matters" fireside with @matthew_d_white at Open Source AI Summit a week ago. How we ensure open research continues, what are different types of open, how should it be governed? 11.7K views · 116 likes · 14 reposts · 16 replies 04 Sep 2026 OSAS talk videos are out! Every talk is great, worth listening for sure! Sharing one of the highlights of the day - fireside chat between @matthew_d_white and @ilblackdragon on "Why Open Models and Open Science Matters" 🤗 https://t.co/ZLewGZQcTs 2.1K views · 15 likes · 2 reposts · 1 replies 04 Sep 2026 Try confidential GLM-5.3-Flash on @near_ai 13.2K views · 108 likes · 12 reposts · 22 replies 02 Sep 2026 Spent today running a proper latency A/B on GLM-5.3-Flash across our two stake-for-inference providers: @AskVenice and @near_ai. Both let you stake tokens once and draw inference against that stake instead of paying per token. NEAR's leg runs inside a confidential TEE enclave 1.8K views · 3 likes · 0 reposts · 1 replies 02 Sep 2026 Join us next week on September 10 for Virtual NEAR Day, ft. a great lineup of speakers and conversations about the agent economy. I'm closing out the agenda with a fireside chat on formal verification w/ @AlexSkidanov. Livestreamed from @NEARProtocol – see you there. 17.4K views · 212 likes · 18 reposts · 28 replies 01 Sep 2026 Just use near .com The way onchain was suppose to be experienced. 19.8K views · 283 likes · 23 reposts · 27 replies 30 Aug 2026 Security for your agent is not an option. Give @IronClawAI a try to secure your data and your machine. 17.6K views · 181 likes · 18 reposts · 27 replies 30 Aug 2026