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Jeremy Nguyen ✍🏼 🚢 ✓

@JeremyNguyenPhD · Melbourne, Australia · joined 08 Oct 2021

A.I. for writing, productivity, business | College Prof, A.I. Educator, A.I. Researcher | Writer on Disney+ show | Father to newborn, so sleepy

26 511Followers
894Following
27 886Posts total
128.7KViews on collected posts

Últimas publicaciones

MIT course: "How to AI (Almost) Anything/Multimodal AI". Paul Liang shares his lecture videos and course materials from the spring 2026 class: 1.1K views · 6 likes · 2 reposts · 2 replies Open on X →
GPT-5.6 Sol writing unit tests for a five-line code change: 2.3K views · 8 likes · 1 reposts · 0 replies Open on X →
GPT-6 Astra Pro for critiquing your academic research papers: this is the balance we've been asking for I was finding Opus 4.8+ to be very nit picky for things that weren't the main substantive points of the paper (maybe Opus was trained faithfully on human reviewers ahahaha) 1.8K views · 16 likes · 3 reposts · 3 replies Open on X →
If you are an academic, you should try throwing a paper into GPT-6 Pro & asking "review this for me." It is now great at finding real (not just nit-picky) issues but balancing those with a paper's strengths & suggesting additions Here is a helpful critique of my very first paper
43K views · 730 likes · 66 reposts · 53 replies Open on X →
We used to think of LLMs as analogous to an intern. What's your current mental model for Fable and Astra class models in Codex and Claude Code? 1.1K views · 4 likes · 2 reposts · 5 replies Open on X →
The mental model for Fable and Astra class models is that you are delegating to a good outside team, not an intern. Can you say what you want & how much leeway the AI has? Can you specify what you want tested & when to come to you for help? Can you describe what good looks like? 45K views · 839 likes · 42 reposts · 37 replies Open on X →
My first publication in Nature! I learned so much contributing to this one... https://t.co/ZoWfqkeyq1
34.4K views · 514 likes · 44 reposts · 30 replies Open on X →

Frente a cuentas del mismo tamaño

6 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas2 040esta cuenta924mediana de 10K–100K
Alcance, %7.69%esta cuenta3.62%mediana de 10K–100K
Interacción, %1.10%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación2 0409242.21×
Alcance (visualizaciones ÷ seguidores)7.69%3.62%2.13×
Tasa de interacción1.10%1.52%0.72×

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

34.4K9 Feb
45K3 Sep
1.1K7 Sep
43K8 Sep
1.8K
2.3K
1.1K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.72%9 Feb
2.06%3 Sep
0.98%7 Sep
1.99%8 Sep
1.22%
0.40%
0.93%

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

What the audience does

Likes80.0%2 117 in total
Reposts6.0%160 in total
Replies4.9%130 in total
Quotes0.8%20 in total
Bookmarks8.2%218 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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