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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.

114 006Followers
459Following
9 334Posts total
110.7KViews on collected posts

Latest posts

@ilblackdragon @near_ai Wait is this a thing? 16 views · 0 likes · 0 reposts · 0 replies Open on X →
@ilblackdragon @near_ai privacy in AI finally being taken seriously 👀 61 views · 1 likes · 0 reposts · 0 replies Open on X →
@ilblackdragon @near_ai this is actually huge for anyone worried about their data being scraped 66 views · 1 likes · 0 reposts · 0 replies Open on X →
Encrypt your prompts. Use @near_ai with open weight models with end to end encryption so nobody ever sees your data. 29.1K views · 339 likes · 36 reposts · 36 replies Open on X →
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 Open on X →
Try confidential GLM-5.3-Flash on @near_ai 13.2K views · 108 likes · 12 reposts · 22 replies Open on X →
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 Open on X →
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 Open on X →
Just use near .com The way onchain was suppose to be experienced. 19.8K views · 283 likes · 23 reposts · 27 replies Open on X →
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 Open on X →

Against accounts of the same size

10 posts from the last 90 days, next to the 100K–1M follower range. shown far beyond its own audience, and the audience reacts.

Median views12 456this account5 983median for 100K–1M
Reach, %10.93%this account1.49%median for 100K–1M
Engagement, %1.35%this account0.93%median for 100K–1M
MetricThis accountMedian for 100K–1MRatio
Median views per post12 4565 9832.08×
Reach (views ÷ followers)10.93%1.49%7.33×
Engagement rate1.35%0.93%1.46×

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
11.7K4 Sep
29.1K11 Sep
66
61
16

Last 10 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%
1.24%4 Sep
1.41%11 Sep
1.52%
1.64%
0.00%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes79.6%1 244 in total
Reposts7.7%121 in total
Replies10.0%157 in total
Quotes0.3%5 in total
Bookmarks2.3%36 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.

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