Thiago Rüdiger ✓

@thiagorudiger · joined 12 May 2009

Leveling the playing field - @TheHUB

20 726Followers

1 125Following

2 759Posts total

9.4KViews on collected posts

Against accounts of the same size

6 posts from the last 90 days, next to the 10K–100K follower range. below its peers on both reach and engagement.

Median views574this account1 266median for 10K–100K

Reach, %2.77%this account3.99%median for 10K–100K

Engagement, %1.47%this account1.98%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	574	1 266	0.45×
Reach (views ÷ followers)	2.77%	3.99%	0.69×
Engagement rate	1.47%	1.98%	0.74×

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

59626 Aug

6.3K27 Aug

55231 Aug

1.1K1 Sep

444

4282 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

0.84%26 Aug

0.88%27 Aug

1.81%31 Aug

2.32%1 Sep

1.13%

2.57%2 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.98%.

What the audience does

Likes58.6%75 in total

Reposts14.1%18 in total

Replies9.4%12 in total

Quotes4.7%6 in total

Bookmarks13.3%17 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

One simple way to explain equalization is comparing it to a cabling exercise: measure every fiber that runs inside the facility, coil the extra length into a spool, and equalize the travel time from each colocated participant to a matching engine hosted there. That solves the ht 428 views · 9 likes · 2 reposts · 0 replies 02 Sep 2026 One of the things I find fascinating about the history of markets is how often the same problem comes back in a different form. Over 4,000 years ago, standardized weights introduced an incredible innovation: people no longer had to trust a merchant’s definition of a unit of 444 views · 4 likes · 1 reposts · 0 replies 01 Sep 2026 https://t.co/6vO3FOKOZM 1.1K views · 18 likes · 4 reposts · 1 replies 01 Sep 2026 Trading over the public internet comes with significant latency variance, aka jitter. Great analogy by @Austin_Federa: it’s like taking a cab to JFK. One day it takes 45 minutes, another day it takes 2 hours and 45 minutes. You never really know. That’s one of the reasons I’m a 552 views · 8 likes · 1 reposts · 1 replies 31 Aug 2026 https://t.co/jibjNHbvAz 6.3K views · 31 likes · 10 reposts · 10 replies 27 Aug 2026 I’d strongly recommend this AMA to anyone who wants to learn more about: - how the trading landscape is evolving on @solana - why fast data distribution matters, and the latency gains enabled by @doublezero - what shreds are, with a masterclass from @triton_one’s @brianlong 596 views · 5 likes · 0 reposts · 0 replies 26 Aug 2026