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Sarah Green ✓

@Sarah_GreenOk · joined 16 Oct 2011

Agent & Project Scouting @Agencylaser | YouTube +550K | +300k $SOL

385 846Followers
58 746Following
48 341Posts total
220.1KViews on collected posts

Latest posts

Why limit an AI agent to one model? @FastXNetwork’s routing engine is designed to connect different AI models and direct requests based on factors like the task, compute requirements and cost. The idea isn’t one model doing everything. It’s choosing the right model for the htt 24K views · 628 likes · 83 reposts · 31 replies Open on X →
@Sarah_GreenOk THE FUTURE SUPERCYCLE 🧡 $BYTE @ByteDogToken https://t.co/VlNe1azAoM 206 views · 17 likes · 5 reposts · 1 replies Open on X →
@Sarah_GreenOk $SLIPPY https://t.co/5mRXDOskRy 110 views · 15 likes · 6 reposts · 5 replies Open on X →
Your favorite #memecoin right now? 🤔 Tag it! 👇 47.2K views · 314 likes · 34 reposts · 136 replies Open on X →
🚨 A new low cap AI play is getting attention on Solana 👀 $AI — Artificial Inu Rise — is sitting around a $10K market cap, putting it firmly in the early stage of the narrative. 💎 Built around the AI meme narrative on Solana + PumpSwap, $AI is aiming to capture the kind of https 43.8K views · 312 likes · 13 reposts · 30 replies Open on X →
@Sarah_GreenOk Pons leading all launchpads, you love to see it 7 views · 0 likes · 0 reposts · 0 replies Open on X →
@Sarah_GreenOk this kind of momentum doesnt come around often 7 views · 0 likes · 0 reposts · 0 replies Open on X →
@Sarah_GreenOk the robinhood ecosystem hitting different fr 9 views · 0 likes · 0 reposts · 0 replies Open on X →
🚨 ethereum:0x07f5b6823751c2e2cd4560f28af75ff887102241 is making serious noise on Robinhood. In the last 24 hours alone, Pons reportedly led all onchain launchpads in user fees, with more than $500M in volume flowing through the platform. 👀 That kind of activity is hard to https 73.4K views · 348 likes · 1 reposts · 29 replies Open on X →
Which #Crypto project do you strongly believe in? 🤔 👇🏼 31.3K views · 85 likes · 8 reposts · 66 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 widely, but few of those viewers react.

Median views12 102this account5 983median for 100K–1M
Reach, %3.14%this account1.49%median for 100K–1M
Engagement, %0.66%this account0.93%median for 100K–1M
MetricThis accountMedian for 100K–1MRatio
Median views per post12 1025 9832.02×
Reach (views ÷ followers)3.14%1.49%2.11×
Engagement rate0.66%0.93%0.71×

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

31.3K31 Aug
73.4K1 Sep
9
7
7
43.8K2 Sep
47.2K3 Sep
110
206
24K4 Sep

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

0.51%31 Aug
0.51%1 Sep
0.00%
0.00%
0.00%
0.81%2 Sep
1.03%3 Sep
23.64%
11.17%
3.10%4 Sep

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

What the audience does

Likes79.0%1 719 in total
Reposts6.9%150 in total
Replies13.7%298 in total
Quotes0.1%3 in total
Bookmarks0.3%6 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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