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Luca Rossi ꩜ ✓

@lucaronin · Rome, Italy · joined 29 Nov 2010

💧 Maker of @tolariamd • 📬 Author of https://t.co/mtplxYVm9C • I write weekly about shipping software with AI to 170K+ engineers.

11 159Followers
545Following
6 020Posts total
358.4KViews on collected posts

Últimas publicaciones

Product is harder than coding. Teaching an AI model to write a Python script takes seconds. Teaching an AI model to understand user friction, evaluate architectural trade-offs and prioritize high-leverage features requires deep business context. 447 views · 5 likes · 1 reposts · 0 replies Open on X →
@lucaronin A polished prototype can make an unsettled idea feel decided. Before reviewing the implementation, I’d ask the team to name the user problem and the evidence that would make them drop the feature. Otherwise the demo starts making the product decision for everyone. 11 views · 0 likes · 0 reposts · 0 replies Open on X →
Here's how to make AI better at Product: https://t.co/38tr383gfS 169 views · 1 likes · 0 reposts · 0 replies Open on X →
AI makes writing code an abundant commodity, which reveals a hard truth: Generating syntax was never the main bottleneck in software engineering. Product judgment is harder than coding. 761 views · 7 likes · 1 reposts · 3 replies Open on X →
The 3 eras of AI-assisted development: 1. Snippet autocompletion 2. AI-native IDEs, like Cursor 3. Standalone apps that orchestrate agents I had a discussion with @charlierguo and he believes most products are still stuck in the middle of that transition: 497 views · 2 likes · 0 reposts · 3 replies Open on X →
Our latest podcast covers everything you need to know about modern cyber defense: Today's guest is Rahul Raina, co-founder of TRM Labs, which is a YC-backed company that works on solutions and products for security, fighting criminal networks, AI attackers, and more. With https
1:01
500 views · 1 likes · 0 reposts · 2 replies Open on X →
@lucaronin I added the one feature i cannot live without. Thanks for building this app. I love it so much, im going to custimize the heck out of it to my taste and need. https://t.co/bKotos4B9r
1.9K views · 9 likes · 1 reposts · 4 replies Open on X →
@lucaronin This is brilliant. I’ve been looking for something like this for a while. So clean, never really liked apps like obsidian 3.7K views · 14 likes · 0 reposts · 1 replies Open on X →
@lucaronin Compared to Obsidian, what other benefits does Tolaria offer? 3.7K views · 8 likes · 0 reposts · 1 replies Open on X →
Introducing Tolaria! 💧 Today I am releasing a macOS desktop app for managing markdown knowledge bases, and helping both AI and humans operate them. It’s free and open source, and always will be. I have been working on it for three months, and I now use it to run my life and ht
346.7K views · 2.8K likes · 188 reposts · 219 replies Open on X →

Frente a cuentas del mismo tamaño

6 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. alcance normal para su tamaño, reacción más débil que la mayoría.

Visualizaciones medianas472esta cuenta924mediana de 10K–100K
Alcance, %4.23%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.80%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación4729240.51×
Alcance (visualizaciones ÷ seguidores)4.23%3.62%1.17×
Tasa de interacción0.80%1.52%0.53×

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

346.7K22 Apr
3.7K
3.7K
1.9K23 Apr
50021 Sep
497
76122 Sep
169
11
447

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

0.92%22 Apr
0.24%
0.40%
0.75%23 Apr
0.60%21 Sep
1.01%
1.45%22 Sep
0.59%
0.00%
1.34%

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

What the audience does

Likes39.7%2 806 in total
Reposts2.7%191 in total
Replies3.3%233 in total
Quotes0.4%28 in total
Bookmarks53.9%3 810 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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