Scott Williams ✓

@swill1ams

AI @ Tenex

508Followers

141Following

527Posts total

1.3MViews on collected posts

Against accounts of the same size

5 posts from the last 90 days, next to the under 10K follower range. below its peers on both reach and engagement.

Median views570this account10 403median for under 10K

Reach, %112.20%this account593.02%median for under 10K

Engagement, %0.56%this account0.95%median for under 10K

Metric	This account	Median for under 10K	Ratio
Median views per post	570	10 403	0.05×
Reach (views ÷ followers)	112.20%	5.9× audience	0.19×
Engagement rate	0.56%	0.95%	0.60×

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

1.3M30 Aug

69K31 Aug

158

570

1771 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

0.17%30 Aug

0.18%31 Aug

0.63%

0.70%

0.56%1 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 0.95%.

What the audience does

Likes77.7%1 923 in total

Reposts6.5%160 in total

Replies3.7%92 in total

Quotes6.5%162 in total

Bookmarks5.6%139 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

@swill1ams https://t.co/KfrxYPMSK8 177 views · 1 likes · 0 reposts · 0 replies 01 Sep 2026 @swill1ams It looks like Apple has finally figured out how to participate in the AI game. 😂 570 views · 4 likes · 0 reposts · 0 replies 31 Aug 2026 @swill1ams The bottleneck is shifting from model weights to the environments that generate useful experience. More capable agents need realistic tasks, tool access, and feedback loops, not just more GPUs. 158 views · 1 likes · 0 reposts · 0 replies 31 Aug 2026 OpenAI is buying Mac Mini's by the tens of thousands and the interesting part is what this says about where the bottleneck has moved. The scarce input for this generation of models isn't only GPUs, it's realistic places for agents to practice. Labs already pay heavily for those 69K views · 90 likes · 13 reposts · 11 replies 31 Aug 2026 OpenAI reportedly bought tens of thousands of Mac minis and Mac Studios for reinforcement learning and training computer-use agents, while Anthropic rents Mac minis through AWS. - The Information https://t.co/gRndr0Wi40 1.3M views · 1.8K likes · 147 reposts · 81 replies 30 Aug 2026