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Marcelo P. Lima ✓

@MarceloLima · Miami, FL · joined 21 May 2009

Trying to find moats riding S-curves. Entrepreneur, investor. It’s always Day 1. @IncreasingRtrns host. Sign up for updates: https://t.co/IXlHVhOANw

29 866Followers
4 187Following
48 476Posts total
1.7MViews on collected posts

Últimas publicaciones

If Progressives were actually progressive, they'd be all over this. Their silence is deafening. 2.9K views · 10 likes · 0 reposts · 0 replies Open on X →
😯🤖 https://t.co/G7t4vLTTYA 2K views · 3 likes · 0 reposts · 0 replies Open on X →
“Now there are whispers that Anthropic has solved Navier-Stokes, which would be super impressive.” Wut 😳 2.3K views · 4 likes · 0 reposts · 0 replies Open on X →
Sigh https://t.co/8TpfN0BboG 1K views · 1 likes · 0 reposts · 1 replies Open on X →
@dozenrose @thefox @toddbranch @googlefinance Guys, these decimal places are ridiculous. This isn't physics, it's finance. For your own sake, fix it. Query was 'dks stock' on google dot com, then click through to the google finance explanation https://t.co/EAWoHGXhIe 2.2K views · 3 likes · 1 reposts · 1 replies Open on X →
Why did so many "smart people" get this wrong, in 2026? https://t.co/aD5KiVQJIc 644 views · 1 likes · 0 reposts · 0 replies Open on X →
Adam Smith understood that the human desire to better one's life is inexhaustible. Because of this, there is no "lump of labor" that AI could destroy because there will always be work to be done. Mokyr helps us understand how disruptive technologies lead to new opportunities. ht 150.6K views · 294 likes · 49 reposts · 14 replies Open on X →
“The empirical track record of technological unemployment predictions is zero for approximately ten. Not mixed results. Zero for ten.” A great thread examining this topic: 1.5K views · 1 likes · 0 reposts · 1 replies Open on X →
Claude knows! —> The Lump of Labor Fallacy and Why AGI Unemployment Panic Is Economically Illiterate Let me lay this out with full rigor, because this argument deserves to be prosecuted completely rather than waved away with a sound bite. I. What the Lump of Labor Fallacy 557.3K views · 3K likes · 479 reposts · 312 replies Open on X →
PS: The economic data from the post is taken from this *excellent* book by Robert Gordon, which more people should read. There is a lot of hand-wringing about, "What are we going to do when AI takes over 'Y' job!?" and to me it's a mix of not reading economic history and a lack 1.1K views · 3 likes · 0 reposts · 1 replies Open on X →
https://t.co/lfQhkygu0i 7K views · 4 likes · 0 reposts · 1 replies Open on X →
@MarceloLima Only 8% on food??? Dude idk if you have checked in on the average American lately but it’s closer to 20% now 2.7K views · 8 likes · 0 reposts · 1 replies Open on X →
Jonathan Ross (ex-TPU designer at Google) explains that the demand for energy and compute are infinite because it's unlike the industrial revolution... and that AI will cause labor SHORTAGES: https://t.co/44ViXK21x7 9.4K views · 8 likes · 2 reposts · 1 replies Open on X →
https://t.co/aqJajFruoN 808.1K views · 219 likes · 29 reposts · 10 replies Open on X →
I think Ackman is wrong here on $UBER: if Google chooses to do so, it could put Waymo inside Google Maps (1 billion MAUs) and match riders to vehicles. Tesla is another threat. Either would obviate the need for Uber. All likely to happen a lot sooner than "many years". https://t. 166.1K views · 599 likes · 27 reposts · 91 replies Open on X →

Frente a cuentas del mismo tamaño

5 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas2 154esta cuenta924mediana de 10K–100K
Alcance, %7.21%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.20%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación2 1549242.33×
Alcance (visualizaciones ÷ seguidores)7.21%3.62%1.99×
Tasa de interacción0.20%1.52%0.13×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

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

808.1K10 Sep
9.4K29 Sep
2.7K5 Jan
7K
1.1K6 Jan
557.3K28 Mar
1.5K
150.6K6 Jul
6447 Jul
2.2K25 Aug
1K4 Sep
2.3K5 Sep
2K
2.9K

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.03%10 Sep
0.13%29 Sep
0.33%5 Jan
0.07%
0.35%6 Jan
0.70%28 Mar
0.13%
0.25%6 Jul
0.16%7 Jul
0.28%25 Aug
0.20%4 Sep
0.17%5 Sep
0.15%
0.38%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes71.1%4 118 in total
Reposts10.1%587 in total
Replies7.5%434 in total
Quotes3.6%206 in total
Bookmarks7.7%446 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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