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Adam D'Angelo ✓

@adamdangelo · Bay Area · joined 22 Nov 2007

CEO of Quora, working on Poe: @poe_platform

110 566Followers
1 461Following
1 423Posts total
1.1MViews on collected posts

Posts recentes

Any "tokens" metric that includes tokens from multiple models is meaningless. Tokens cannot be compared across models. This has always been true but is more and more true as models diversify and as reasoning becomes a larger and larger portion of all tokens. 11.7K views · 87 likes · 1 reposts · 17 replies Open on X →
Feeling the same today 14.5K views · 108 likes · 5 reposts · 2 replies Open on X →
Toyota lean manufacturing has an idea called "genchi genbutsu", essentially meaning managers should "go see the real thing at the real place" in a factory instead of sitting in an office hearing secondhand descriptions. AI coding suddenly makes this practical for software. https:
39.5K views · 316 likes · 16 reposts · 14 replies Open on X →
I want to be able to tell my Waymo to take 280 instead of 101 101.4K views · 2.1K likes · 72 reposts · 66 replies Open on X →
This applies again today, e.g. people are saying the same exact thing now but code can still get *another* 100x bigger while every other vertical grows slower than code. 80.8K views · 278 likes · 8 reposts · 20 replies Open on X →
1-2 yrs ago the story was always "AI-for-code works pretty well so far but soon AI-for-every-other-vertical will catch up" Instead, code just got another 100x bigger... 138.9K views · 577 likes · 15 reposts · 43 replies Open on X →
@adamdangelo This is honestly the most cope take from the tech bros I have ever seen Seething and raging that they may not get infinite money to recklessly spend on GPU farms 3.2K views · 47 likes · 0 reposts · 5 replies Open on X →
@adamdangelo I think Jevon's paradox applies to compute. 4.5K views · 53 likes · 3 reposts · 6 replies Open on X →
@adamdangelo Compute and energy are things that can only go up. We will never have enough, and we can always have more. 7.5K views · 86 likes · 1 reposts · 4 replies Open on X →
https://t.co/Q3Kt800JTR
717.8K views · 7.5K likes · 641 reposts · 178 replies Open on X →

Em comparação com contas do mesmo porte

2 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. aparece para mais gente do que contas do mesmo porte.

Mediana de visualizações13 122esta conta6 293mediana para 100K–1M
Alcance, %11.87%esta conta1.55%mediana para 100K–1M
Engajamento, %0.86%esta conta0.94%mediana para 100K–1M
MétricaEsta contaMediana para 100K–1MProporção
Mediana de visualizações por post13 1226 2932.09×
Alcance (visualizações ÷ seguidores)11.87%1.55%7.66×
Taxa de engajamento0.86%0.94%0.92×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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

717.8K26 Jan
7.5K
4.5K
3.2K27 Jan
138.9K23 Feb
80.8K
101.4K28 Apr
39.5K1 Jun
14.5K17 Jul
11.7K26 Aug

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.17%26 Jan
1.23%
1.37%
1.64%27 Jan
0.46%23 Feb
0.38%
2.23%28 Apr
0.88%1 Jun
0.80%17 Jul
0.92%26 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.94%.

What the audience does

Likes82.5%11 114 in total
Reposts5.7%762 in total
Replies2.6%355 in total
Quotes1.4%186 in total
Bookmarks7.9%1 061 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.

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