Sebastien Meunier

@sbmeunier · joined 12 Jan 2015

Digital Transformation, IT Risk, Cybersecurity, Data Privacy, Technology, Operations | Strategic Thinker, Leader, Doer | COO, CIO, CTO, CISO

51 436Followers

14 100Following

7 016Posts total

5.1KViews on collected posts

Últimas publicaciones

Sebastien Meunier@sbmeunier5 Sep

If you've been to China recently you know why Chinese cars are banned in the US: all US car manufacturers would go bankrupt (except maybe Tesla, and the F-150 type of trucks) 446 views · 4 likes · 0 reposts · 3 replies Open on X →

Sebastien Meunier@sbmeunier3 Sep

Very revealing that AI bros in Silicon Valley want to simultaneously: * build an artificial intelligence * need to "align" said AI They think human intelligence should be "aligned", thus AI too Hence all this politically correct, 'safe', woke, dark pattern, ads-pushing SV model 440 views · 3 likes · 0 reposts · 0 replies Open on X →

Sebastien Meunier@sbmeunier30 Aug

Interestingly, Anthropic published this https://t.co/eL3CY86XG0, obviously this is dishonest, see the reality below 👉🏻 https://t.co/2hPFmYk8Jt 948 views · 4 likes · 2 reposts · 1 replies Open on X →

Sebastien Meunier@sbmeunier29 Aug

This looks great and all, but why does Uber needs some much new code for??? 981 views · 2 likes · 0 reposts · 0 replies Open on X →

Sebastien Meunier@sbmeunier28 Aug

Before: 50% of the project time from design-to-release was spent in dev Now with GenAI: 50% of the project time is spent in debug/test/validation Not sure we gained much overall What's true is that now PMs and BAs can do small solo-projects on their own 1.7K views · 3 likes · 0 reposts · 2 replies Open on X →

Sebastien Meunier@sbmeunier21 May

LLMs are next-token-predictors-based-on-training-data and you can hype it however you want, they can only predict the next token. By virtue of the underlying stats, they get things ok/avg often, fail spectacularly sometimes, and come up with exceptionally good output sometimes 599 views · 12 likes · 0 reposts · 9 replies Open on X →

Frente a cuentas del mismo tamaño

5 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. por debajo de sus pares en alcance y en interacción.

Visualizaciones medianas948esta cuenta924mediana de 10K–100K

Alcance, %1.84%esta cuenta3.62%mediana de 10K–100K

Interacción, %0.68%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	948	924	1.03×
Alcance (visualizaciones ÷ seguidores)	1.84%	3.62%	0.51×
Tasa de interacción	0.68%	1.52%	0.45×

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

59921 May

1.7K28 Aug

98129 Aug

94830 Aug

4403 Sep

4465 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

3.51%21 May

0.36%28 Aug

0.20%29 Aug

0.74%30 Aug

0.68%3 Sep

1.57%5 Sep

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

What the audience does

Likes58.3%28 in total

Reposts4.2%2 in total

Replies31.2%15 in total

Quotes2.1%1 in total

Bookmarks4.2%2 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.