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Hamida Rahman ✓

@hey_hamida · joined 18 Mar 2026

Experimenting with data, creating intelligence 📈 AI | Deep Learning | Tech mindset On a journey to make machines think smarter

29 778Followers
2Following
1 320Posts total
45.7KViews on collected posts

Latest posts

A coding agent should not have to interpret a generic results page before it can start solving the task. 21.7K views · 29 likes · 15 reposts · 11 replies Open on X →
$5.30 vs $0.12 for the same task is a wild difference. Being able to compare agents and models side by side is the part that really caught my attention. 930 views · 16 likes · 0 reposts · 10 replies Open on X →
Every agent can have its own reasons for acting. Same environment, different information, different decisions. 11.7K views · 29 likes · 0 reposts · 10 replies Open on X →
For years, we’ve treated the final output as the most valuable part. But with AI agents, the real value is often in everything that happens along the way—decisions, attempts, fixes, and context. @EinsiaAI is building around that idea: agent sessions that can be saved, shared, 6.9K views · 17 likes · 0 reposts · 10 replies Open on X →
Stop using generic benchmarks to pick your workflow. Look at the @openart_ai Arena motion design tab vs the lip sync tab because they are entirely different beasts. https://t.co/p0en0f2wYL
4.5K views · 21 likes · 6 reposts · 11 replies Open on X →

Against accounts of the same size

5 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views6 881this account924median for 10K–100K
Reach, %23.11%this account3.62%median for 10K–100K
Engagement, %0.39%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post6 8819247.45×
Reach (views ÷ followers)23.11%3.62%6.38×
Engagement rate0.39%1.52%0.26×

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

4.5K17 Sep
6.9K
11.7K18 Sep
930
21.7K19 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.84%17 Sep
0.39%
0.33%18 Sep
2.80%
0.25%19 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes59.9%112 in total
Reposts11.2%21 in total
Replies27.8%52 in total
Bookmarks1.1%2 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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