Home / LinkedIn creators / Neo Kim
I Teach You AI & System Design • 0.5M+ Audience
We read 532 of their posts. Here is what they actually do.
Average likes per post, by month.
That puts them in the 54th percentile of the 1,374 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 1 lists 26 case studies on how major systems work.
Top 9 compiles 14 must-star GitHub repositories for developers.
Recent 4 breaks down 22 core concepts for AI engineering.
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 Saturday at 1.4K average likes. Thursday is their weakest at 879.
Text, image, video or carousel, ranked by what actually lands for them.
| Format | Posts | Avg likes | |
|---|---|---|---|
| Image | 408 | 1.4K | |
| Carousel | 47 | 828 | |
| Video | 9 | 343 | |
| Text only | 68 | 317 |
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.
If you want to become good at code reviews, here are some aspects you must focus on: 1 Functionality & Correctness ↳ Requirements: code does what it should ↳ Logic: works for all expected inputs, including edge cases ↳ Integration: works without breaking the existing features
I struggled with git until I learned these 17 commands: 1 git add ↳ It lets you add changes from the working directory into the staging area. 2 git commit ↳ It lets you save a snapshot of currently staged changes in the local repository, with a message.
If you want to become good at system design (in 3 weeks), learn these 15 case studies: 1. How Stock Exchange Works: ↳ https://lnkd.in/eNf2QxVZ 2. How LLMs Like ChatGPT Work: ↳ https://lnkd.in/eSd6fS7n 3. How Twitter Timeline Works: ↳ https://lnkd.in/eniXMPfU 4.
Give me 2 mins and I'll teach you how Big O works: • Big O tells how much slower a code gets as the input increases. • There are best, average, and worst cases for a specific algorithm. • Also there are Big Os for time, memory, and storage efficiency.
If you want to become good at system design, then learn these 12 case studies (not kidding): 1 How ChatGPT Apps Work: ↳ https://lnkd.in/eZpyaUbu 2 How YouTube Works: ↳ https://lnkd.in/e7q9F4Sg 3 How Google Docs Works: ↳ https://lnkd.in/ehPNA7Az 4 How Kafka Works: ↳ https://lnkd.in/eTtVAjTg
Comparable follower counts, analysed the same way.
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Built from public LinkedIn posts, last refreshed 2026-09-26. Follower counts and engagement change over time. Neo Kim is not affiliated with 2pr.io. Request removal.