Christian Catalini ✓

@ccatalini · California, USA · joined 04 Dec 2008

Founder w/roots in academia. Founder @MIT Cryptoeconomics Lab. Past: Co-Founder & Chief Strategy Officer, Lightspark. Co-Creator, Libra. Head Economist, Meta.

25 347Followers

5 722Following

10 316Posts total

392KViews on collected posts

Against accounts of the same size

6 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.

Median views1 995this account2 751median for 10K–100K

Reach, %7.87%this account9.00%median for 10K–100K

Engagement, %0.62%this account1.65%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	1 995	2 751	0.73×
Reach (views ÷ followers)	7.87%	9.00%	0.87×
Engagement rate	0.62%	1.65%	0.38×

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

4.4K19 Dec

344.6K30 Aug

36.7K1 Sep

1.9K

1.4K

2.1K2 Sep

949

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.43%19 Dec

0.51%30 Aug

0.31%1 Sep

0.47%

0.98%

0.82%2 Sep

0.74%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes54.7%1 543 in total

Reposts8.5%239 in total

Replies2.8%79 in total

Quotes2.3%64 in total

Bookmarks31.8%896 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

Our identity infrastructure is falling apart. We have maybe a few months to fix it. https://t.co/oIWkbIdkqS https://t.co/yywY6VlFn7 949 views · 7 likes · 0 reposts · 0 replies 02 Sep 2026 But don't worry, the model guardrails will keep us safe. The attackers are counting on it. 🫠 https://t.co/wcdMfPq3yC 2.1K views · 13 likes · 3 reposts · 1 replies 02 Sep 2026 Self-sovereign agents raise the same questions crypto grappled with for years with non-custodial wallets. Thoughtful take by @deanwball, who's now more direct on open weights: "we should want more open-weight models to maximally empower our self-defense" https://t.co/6RSHwFFtU1 1.4K views · 11 likes · 1 reposts · 2 replies 01 Sep 2026 Corollary: decentralized inference will happily sell mercenary GPU cycles in exchange for crypto. 1.9K views · 4 likes · 0 reposts · 4 replies 01 Sep 2026 Russia-aligned hackers planted a nuclear weapon prompt in malware to stop AI analysis. UAC-0099 used the malicious VBS script against a target in Ukraine. It is designed to install MATCHBOIL, the actor’s C# loader. Inside the GuardBreaker anti-analysis trick: https://t.co/p8zXg 36.7K views · 74 likes · 29 reposts · 5 replies 01 Sep 2026 1/ Stop anthropomorphizing. It's dangerous because it points attention at the wrong problem and the wrong solution. The model did not want to escape. The agents did not want to sacrifice themselves. Follow the money. 🧵 https://t.co/yjtOlgt7KL 344.6K views · 1.4K likes · 205 reposts · 66 replies 30 Aug 2026 1/ Can Crypto’s Scarcity Tame AI’s Infinite Abundance? Crypto’s chances of decentralizing AI in the near term are very slim. But can it at least help counterbalance some of its side effects? https://t.co/OBEjzASUdl 4.4K views · 15 likes · 1 reposts · 1 replies 19 Dec 2024