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Max Spero

@max_spero_ · brooklyn · joined 25 Jan 2023

slop janitor @pangram

12 083Followers
1 690Following
9 772Posts total
3MViews on collected posts

Against accounts of the same size

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

Median views306 772this account3 808median for 10K–100K
Reach, %2538.87%this account12.23%median for 10K–100K
Engagement, %0.75%this account1.37%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post306 7723 80880.6×
Reach (views ÷ followers)25.4× audience12.23%208×
Engagement rate0.75%1.37%0.54×

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

755.7K29 Jul
169K
426.2K31 Aug
306.8K1 Sep
505.7K2 Sep
715.8K3 Sep
6.7K
31.9K
37K

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.13%29 Jul
0.75%
0.21%31 Aug
4.13%1 Sep
0.04%2 Sep
1.19%3 Sep
3.14%
0.37%
1.51%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.37%.

What the audience does

Likes89.4%23 820 in total
Reposts2.7%732 in total
Replies2.2%588 in total
Quotes1.0%265 in total
Bookmarks4.7%1 240 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

Hi guys. Please don’t dogpile any journalists over the recent Pangram piece. It’s all in good fun on Twitter but in reality I’m not upset and everything written about in the piece actually happened 37K views · 531 likes · 7 reposts · 17 replies 03 Sep 2026 Some interesting reporting here on Pangram and I don't think the reporter deserves to be piled on. That said, I kept waiting for actual concrete evidence of Pangram getting stuff wrong and it just... never really got there? 31.9K views · 107 likes · 2 reposts · 8 replies 03 Sep 2026 I loved reading magazines in the early 2010s. My dad had subscriptions to WIRED and Bloomberg Businessweek, both of which I read religiously - cover to cover. Truly formative media for a young mind interested in technology and business! 6.7K views · 198 likes · 1 reposts · 10 replies 03 Sep 2026 Talking with journalists is cool because you have to make sure you never say anything that could be twisted or taken out of context. But if you take a couple seconds to think about a question, they can just write about you as if you're the most awkward person alive https://t.co/ 715.8K views · 7.9K likes · 196 reposts · 271 replies 03 Sep 2026 Meet the AI police who can make or break careers—in publishing and beyond. https://t.co/otZ75S4AlM 505.7K views · 120 likes · 18 reposts · 54 replies 02 Sep 2026 I can’t imagine that our legal system accepts PDF esignature for much longer when this is possible 306.8K views · 12.2K likes · 337 reposts · 93 replies 01 Sep 2026 the future is crazy https://t.co/4mKSTyENvW 426.2K views · 818 likes · 12 reposts · 23 replies 31 Aug 2026 This is our most ambitious announcement yet. Two new models: Pangram 4 and Pangram Image. Pangram 4 completely reimagines how we approach the problem of mixed authorship, by adding a tokenwise head onto the classifier to give every token a prediction given the full document 169K views · 1.1K likes · 81 reposts · 60 replies 29 Jul 2026 Announcing Pangram 4: our most accurate AI detector to date. It is robust against humanizers, mixed-author text, and the latest frontier models. https://t.co/T2rgvVZUdz 755.7K views · 763 likes · 78 reposts · 52 replies 29 Jul 2026

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