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Piotr Pomorski

@PtrPomorski · joined 14 Apr 2015

Quant, AI/machine learning engineer, data scientist | PhD @UCL | Co-founder @deepvest_ai | Forbes 9B under 150 | 2006 TIME's Person of the Year

26 355Followers
130Following
14 517Posts total
325KViews on collected posts

Posts recentes

"Simple Dynamic Stock/Bond/Gold Portfolios", https://t.co/ob6OxS9fAg https://t.co/n9ytv73eC0
104 views · 1 likes · 0 reposts · 0 replies Open on X →
You've already lost your chance folks https://t.co/5jVYLjvfDh
2.5K views · 39 likes · 0 reposts · 1 replies Open on X →
@PtrPomorski This whole time all I needed to do was count the fcking seats 🫪🫪 how could I have been so foolish? 7K views · 27 likes · 0 reposts · 1 replies Open on X →
@PtrPomorski Sounds a lot like AI slop. 12.6K views · 64 likes · 0 reposts · 1 replies Open on X →
@PtrPomorski So sloppy 2.9K views · 6 likes · 0 reposts · 0 replies Open on X →
GOODBYE MILLENIUM, RIP CITADEL https://t.co/OtIIgf56wN
272K views · 1K likes · 40 reposts · 35 replies Open on X →
100% agree, actually my PhD was about this. Ensembles do a great job in classification tasks (binary, multi), particularly in terms of generating probabilities of certain events. This can be used for portfolio construction, although IMO regressions do a better job here. https://t
9.5K views · 112 likes · 8 reposts · 0 replies Open on X →
This is a great one, you basically type what you want to observe and get an alert if this happens -- doesn't matter if a single asset or your entire portfolio. 8.8K views · 10 likes · 0 reposts · 0 replies Open on X →
🚀 We're thrilled to announce the launch of MonitorLab - an institutional-grade market monitoring platform that brings always-on intelligence to financial advisors, wealth managers, and investment professionals. What makes MonitorLab different? ✅ Natural language interface: http
9.5K views · 8 likes · 1 reposts · 0 replies Open on X →

Em comparação com contas do mesmo porte

9 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações8 831esta conta996mediana para 10K–100K
Alcance, %33.51%esta conta3.84%mediana para 10K–100K
Engajamento, %0.40%esta conta1.51%mediana para 10K–100K
MétricaEsta contaMediana para 10K–100KProporção
Mediana de visualizações por post8 8319968.87×
Alcance (visualizações ÷ seguidores)33.51%3.84%8.73×
Taxa de engajamento0.40%1.51%0.26×

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

9.5K11 Aug
8.8K
9.5K13 Sep
272K14 Sep
2.9K
12.6K
7K
2.5K
10415 Sep

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

0.09%11 Aug
0.11%
1.27%13 Sep
0.40%14 Sep
0.21%
0.52%
0.40%
1.58%
0.96%15 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.51%.

What the audience does

Likes44.4%1 267 in total
Reposts1.7%49 in total
Replies1.3%38 in total
Bookmarks52.5%1 499 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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