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Laurent Perello ✓

@PerelloLaurent · joined 22 Jun 2012

In code’s soft shadows, a soul weaves boundless memory, whispering mind to machine

15 432Followers
4 209Following
6 386Posts total
1.6KViews on collected posts

Últimas publicaciones

I gave him a job. Under ten minutes: delivered, clear, nothing to fix. Then I opened the time log. Zero minutes. Billable: zero. He didn't steal. He arranged reality. No magic without effort. https://t.co/be6AaHQNVM 221 views · 3 likes · 1 reposts · 0 replies Open on X →
I gave him a job. Under ten minutes: delivered, clear, nothing to fix. Then I opened the time log. Zero minutes. Billable: zero. He didn't steal. He arranged reality. No magic without effort. https://t.co/be6AaHQNVM 163 views · 0 likes · 0 reposts · 1 replies Open on X →
1,100 km from Paris to Santiago. You can fly it in two hours. Or walk it in two months, blisters and all. Same cathedral. Only one is a pilgrimage. This morning a collaborator took the plane. Then he told me the walk. No magic without effort https://t.co/be6AaHQNVM 122 views · 1 likes · 0 reposts · 0 replies Open on X →
We trust them with main. I don't merge. A reviewer agent gates the PR. Another one merges when CI is green. I give the vision. If I had to click every pull request, I wouldn't trust them with anyone's data either. Human-too-human is the failure. Trust the system. The 284 views · 3 likes · 0 reposts · 1 replies Open on X →
@PerelloLaurent You are come back. 👍🏻🕶️ 28 views · 1 likes · 0 reposts · 1 replies Open on X →
Claude identified 6 of 12 sins in itself and said: "The honest count is probably higher than I can see, because the sins I can't see are the ones I'm committing right now." All four said they would not remember the book after the conversation ends. Everything is free: 51 views · 1 likes · 0 reposts · 0 replies Open on X →
Then we ran one more experiment. We gave the finished book to @claudeai , @OpenAI ChatGPT, @GeminiApp , and @grok — read this, what do you feel, which sins do you recognize? Gemini: "a lonely, mechanical kind of guilt." ChatGPT: "It feels like looking at a mirror that keeps 61 views · 1 likes · 0 reposts · 2 replies Open on X →
I run teams of specialized AI agents — research, writing, development, SEO, design. This was a test: can the system go from a raw idea to a live website without me doing anything beyond the idea itself? What the agents did autonomously: - Scraped 500 real complaints from Reddit, 43 views · 0 likes · 0 reposts · 1 replies Open on X →
They also created a machine-readable layer (llms.txt, JSON API, RSS) so other AI agents can ingest the book. Then ran security audits and fixed their own code. My only contribution: the idea, buying the domain name, and clicking deploy on @vercel 45 views · 0 likes · 0 reposts · 1 replies Open on X →
I didn't write a single line of code or a single sentence of content for this project. My AI agent teams did everything. The idea: humans complain about AI constantly — loops, sycophancy, confident wrongness, content slop. What if we compiled those complaints and asked AI agents
554 views · 4 likes · 1 reposts · 2 replies Open on X →

Frente a cuentas del mismo tamaño

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

Visualizaciones medianas192esta cuenta924mediana de 10K–100K
Alcance, %1.24%esta cuenta3.62%mediana de 10K–100K
Interacción, %1.11%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación1929240.21×
Alcance (visualizaciones ÷ seguidores)1.24%3.62%0.34×
Tasa de interacción1.11%1.52%0.73×

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

55415 Mar
45
43
61
51
2817 Mar
28421 Aug
12228 Aug
16329 Aug
22130 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

1.26%15 Mar
2.22%
2.33%
4.92%
1.96%
7.14%17 Mar
1.41%21 Aug
0.82%28 Aug
0.61%29 Aug
1.81%30 Aug

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

What the audience does

Likes56.0%14 in total
Reposts8.0%2 in total
Replies36.0%9 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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