Home / LinkedIn creators / Paolo Perrone
Shipping Production AI: Agents, Inference, GPU. Read by 1M+ AI engineers.
We read 909 of their posts. Here is what they actually do.
Average likes per post, by month.
That puts them in the 87th percentile of the 1,360 creators we track in the 100K to 1M follower band. Reach is not the same as resonance, and this is the ratio that separates them.
The opening line of their best-performing posts. This is what stops the scroll.
What they post about, with a line from a real post as evidence.
Top posts heavily feature free GitHub repos, open-source models, and top-tier learning resources.
Recent and top posts focus on running open-source models locally to cut cloud costs.
Deconstructs production agent frameworks, context engineering rules, and developer tool setup hacks.
The repeatable moves that show up across their best posts.
Patterns that separate their top posts from the rest.
Every post, grouped by day of week.
Best day is Wednesday at 386 average likes. Monday is their weakest at 262.
Text, image, video or carousel, ranked by what actually lands for them.
| Format | Posts | Avg likes | |
|---|---|---|---|
| Image | 453 | 433 | |
| Carousel | 1 | 412 | |
| Video | 60 | 277 | |
| Text only | 395 | 227 |
How their posts are built, measured across every post we analysed.
Moves you can apply to your own posts this week.
Ranked by likes, across everything we analysed.
I watched 147 Deep Learning courses. Most were garbage. Outdated theory. Broken code. Professors reading slides. Then I found Prof. Bryce's playlist. After 6 months of actually using it, here's why it's different: → Explains Adam Optimizer like you're 5 (finally clicked)
Someone just compiled 500+ AI agent projects in one GitHub repo. Healthcare bots. Trading agents. Self-driving delivery. All with working code. After building 8 "agents" (7 were expensive chatbots), this is gold.
Ex-Cursor engineer showed me this hack. Changed how I code forever. "I built a $1.5k MRR app in 3 weeks using Cursor," he said. "90% AI-written. Want to see how?" Then he opened his laptop. What I saw broke my brain: 1️⃣ His Context Hack He never starts coding immediately.
Harvard just confirmed the AI hiring apocalypse we all suspected: Junior roles down 23%. Senior roles up 14%. Harvard tracked 285,000 firms. The math is brutal: Before AI: 1 senior + 3 juniors = 4 person team After AI: 1 senior + Claude = same output
NVIDIA just made their best AI models free. 99% of developers have no idea. While you burn cash on OpenAI credits... NVIDIA open-sourced Nemotron. Their entire agentic AI family 🤯 Free Models That Actually Ship: • Nano: Runs on your laptop • Super: Single GPU beast • Ultra: Multi-GPU monster
Comparable follower counts, analysed the same way.
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Built from public LinkedIn posts, last refreshed 2026-10-24. Follower counts and engagement change over time. Paolo Perrone is not affiliated with 2pr.io.