Nailed it! Joanna Maciejewska gives the only perspective on AI that matters 👏 That's exactly why Elon Musk has been building Tesla Optimus humanoid robot. The next 2-3 years will be wild. P.S.
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Linas Beliūnas
🔔linas.substack.com🔔 Daily Intelligence on Finance & AI | Scouting FinTech & AI Startups 🦄
We read 1,240 of their posts. Here is what they actually do.
Engagement over time
Average likes per post, by month.
That puts them in the 36th percentile of the 1,390 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.
Their hooks, word for word
The opening line of their best-performing posts. This is what stops the scroll.
- Nailed it! Joanna Maciejewska gives the only perspective on AI that matters 👏75K likes
- Instead of watching 2 hours of Netflix tonight, watch this Stanford lecture. It's the clearest explanation I've seen of how ChatGPT and Claude actually work.16K likes
- NVIDIA just dropped Project DIGITS, a $3,000 personal AI supercomputer that looks like a Mac Mini but packs 1,000x the power of your average laptop 😳14K likes
- Fascinating: these scientists literally used math to predict the next Pope 😳13K likes
- Finally! Emmanuel Macron is saying the quiet part out loud:12K likes
- Actual footage of investors bragging about how they have helped a startup👇😉10K likes
Content pillars
What they post about, with a line from a real post as evidence.
- Curated Tech Lectures & Guides
Stanford and Jeff Dean lecture breakdowns driving their top 3 highest-performing posts.
- Frontier AI & Big Tech Drama
Coverage of Moonshot K3, Apple executive shifts, and OpenAI-Cursor ecosystem clashes.
- Tech Folklore & Founder Stories
Historical retrospectives on Linus Torvalds building Linux without AI or funding.
Signature moves and voice
The repeatable moves that show up across their best posts.
- Open with 'Instead of watching Netflix tonight, watch this lecture'.
- Attach an evergreen resource link in a structured 'P.S.' footer.
- Use emoji-bulleted contrast lists to simplify complex tech architectures.
What works for them
Patterns that separate their top posts from the rest.
- Alternative-education hooks framed against leisure drive peak virality.
- Deeply researched multi-metric breakdowns outperform high-level industry summaries.
- Historical tech milestones contrasted with modern AI tools generate strong engagement.
When they post
Every post, grouped by day of week.
Best day is Saturday at 1.6K average likes. Thursday is their weakest at 875.
What format works
Text, image, video or carousel, ranked by what actually lands for them.
| Format | Posts | Avg likes | |
|---|---|---|---|
| Carousel | 76 | 1.9K | |
| Image | 572 | 1.4K | |
| Video | 453 | 1.3K | |
| Text only | 139 | 96 |
Format fingerprint
How their posts are built, measured across every post we analysed.
Steal this
Moves you can apply to your own posts this week.
- Swap low-value leisure time for high-signal learning in your opening hook.
- Anchor technical news with structured bullet points comparing benchmark metrics.
- Add a high-converting 'P.S.' link to relevant guides on every post.
Best-performing posts
Ranked by likes, across everything we analysed.
Apple just dropped a bombshell on the AI world: Apple’s ML scientists proved AI "reasoning" models like Claude, DeepSeek-R1, and o3-mini don't actually reason at all - they just memorize patterns really well 😳 We hear a lot about artificial intelligence that can "think" and "reason."
Instead of watching 2 hours of Netflix tonight, watch this Stanford lecture. It's the clearest explanation I've seen of how ChatGPT and Claude actually work. The best part is that it’s useful whether you've never touched AI in your life or have been using it every day for the past year.
Instead of watching 2 hours of Netflix tonight, watch this Stanford lecture. It’s the clearest end-to-end explanation I’ve seen of how ChatGPT and Claude AI are actually built. From tokenization and BPE all the way to the transformer architecture, training pipeline, and next-token decoding.
NVIDIA just dropped Project DIGITS, a $3,000 personal AI supercomputer that looks like a Mac Mini but packs 1,000x the power of your average laptop 😳 Powered by the Nvidia GB10 Superchip and based on the NVIDIA Grace Blackwell architecture, this supercomputer can run AI models with up to 200…
Similar creators
Comparable follower counts, analysed the same way.
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Built from public LinkedIn posts, last refreshed 2026-09-03. Follower counts and engagement change over time. Linas Beliūnas is not affiliated with 2pr.io. Request removal.