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

Latest posts

Luca Rossi ꩜ ✓@lucaronin22 Sep

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 →

Luca Rossi ꩜ ✓@lucaronin22 Sep

@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 →

Luca Rossi ꩜ ✓@lucaronin22 Sep

Here's how to make AI better at Product: https://t.co/38tr383gfS 169 views · 1 likes · 0 reposts · 0 replies Open on X →

Luca Rossi ꩜ ✓@lucaronin22 Sep

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 →

Luca Rossi ꩜ ✓@lucaronin21 Sep

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 →

Luca Rossi ꩜ ✓@lucaronin21 Sep

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 →

Luca Rossi ꩜ ✓@lucaronin23 Apr

@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 →

Luca Rossi ꩜ ✓@lucaronin22 Apr

@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 →

Luca Rossi ꩜ ✓@lucaronin22 Apr

@lucaronin Compared to Obsidian, what other benefits does Tolaria offer? 3.7K views · 8 likes · 0 reposts · 1 replies Open on X →

Luca Rossi ꩜ ✓@lucaronin22 Apr

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 →

Against accounts of the same size

6 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.

Median views472this account924median for 10K–100K

Reach, %4.23%this account3.62%median for 10K–100K

Engagement, %0.80%this account1.52%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	472	924	0.51×
Reach (views ÷ followers)	4.23%	3.62%	1.17×
Engagement rate	0.80%	1.52%	0.53×

Others in this range → Compare with another account → How these benchmarks are built →

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

1.9K23 Apr

50021 Sep

497

76122 Sep

169

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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Similar accounts