Sarah Parker ✓

@SeharShinwari · United Arab Emirates · joined 05 Jan 2015

AI Creator • Generative AI • Creative Tech Sharing AI tools with 150K+ followers. Paid collaborations 📩 DM or sarahbuildsai@gmail.com

152 480Followers

3 967Following

63 489Posts total

166KViews on collected posts

Latest posts

Sarah Parker ✓@SeharShinwari5 Sep

This is the first workflow that actually treats the ai influencer as a recurring character instead of hoping one lucky clip holds together for a full 30-second morning vlog. https://t.co/TAIvnTETSJ 52.3K views · 369 likes · 10 reposts · 7 replies Open on X →

Sarah Parker ✓@SeharShinwari4 Sep

Model hopping is basically becoming part of the workflow now New models keep dropping, and having them all behind one account and one balance makes testing and switching so much easier. 29.2K views · 292 likes · 11 reposts · 10 replies Open on X →

Sarah Parker ✓@SeharShinwari4 Sep

A benchmark can tell you whether an AI got the answer right. Real work reveals whether it knew what to do when the answer—and the path—weren’t obvious. 17.1K views · 116 likes · 1 reposts · 9 replies Open on X →

Sarah Parker ✓@SeharShinwari4 Sep

Moving from single-node sandboxes to cluster-level assets is a meaningful step for production AI agents. Cross-node pause/resume adds much-needed resilience, while E2B SDK compatibility makes migration much easier for developers. #CubeSandbox #OpenSource #AIAgents 10.9K views · 96 likes · 1 reposts · 8 replies Open on X →

Sarah Parker ✓@SeharShinwari2 Sep

Just watched Episode 4 of Penumbra from @invideoOfficial . The 1971 Mediterranean mission, the plane, the open sea and the honesty that water was the hardest thing to direct landed. Story over the perfect frame is a rare choice. Catch up on the first three episodes here: 16.8K views · 96 likes · 2 reposts · 14 replies Open on X →

Sarah Parker ✓@SeharShinwari31 Aug

Episode 4 of Penumbra is out. 1971, a mission over the Mediterranean, a plane, the open sea, and something going very wrong. In this one, water turned out to be the hardest thing in it to direct. Some shots took days. A few never came together the way they needed to, and they ht 39.7K views · 120 likes · 15 reposts · 32 replies Open on X →

Against accounts of the same size

6 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views23 162this account4 817median for 100K–1M

Reach, %15.19%this account1.79%median for 100K–1M

Engagement, %0.74%this account1.32%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	23 162	4 817	4.81×
Reach (views ÷ followers)	15.19%	1.79%	8.49×
Engagement rate	0.74%	1.32%	0.56×

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

39.7K31 Aug

16.8K2 Sep

10.9K4 Sep

17.1K

29.2K

52.3K5 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.47%31 Aug

0.67%2 Sep

0.97%4 Sep

0.74%

1.07%

0.74%5 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.32%.

What the audience does

Likes84.1%1 089 in total

Reposts3.1%40 in total

Replies6.2%80 in total

Quotes1.5%19 in total

Bookmarks5.2%67 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

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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