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David J. Malan

@davidjmalan · Cambridge MA 02138 USA · joined 02 Feb 2010

I teach @CS50. Gordon McKay Professor of the Practice of Computer Science, Harvard University, malan@harvard.edu. Verify at https://t.co/NGJZ2KGgTc.

126 106Followers
111Following
3 578Posts total
64KViews on collected posts

Последние посты

@davidjmalan @github you're the best teacher that I know 13 views · 0 likes · 0 reposts · 0 replies Open on X →
@davidjmalan @github In computing the acronym BASIC stands for Beginner's All-purpose Symbolic Instruction Code. You dont even have the ability to Write programmes in BASIC. So, it makes No difference if You MEMORISE in Python, C, Java or BASIC. MEMORIZATION & Repitition is the S 45 views · 0 likes · 0 reposts · 0 replies Open on X →
@davidjmalan @github Why dont You come to Bradford. I'll Give You a Specification for a Computer Program. You write the Implementation. Get 1 Billion Thai/Indians to Help you. Show me that Your Species Can write a Computer Program. 69 views · 1 likes · 0 reposts · 2 replies Open on X →
https://t.co/hjmQnrkI0l 7.8K views · 31 likes · 1 reposts · 1 replies Open on X →
Now live on @edXOnline, this is CS50x 2026, @CS50's (free) introduction to the intellectual enterprises of computer science and the art of programming, including AI. Open to anyone online. Register at https://t.co/ZDc7YifyWR. #education #community 14.7K views · 151 likes · 21 reposts · 11 replies Open on X →
Live at 00:00 UTC, this is CS50x 2026... https://t.co/ixtsI7Aj5v #education #community 12.2K views · 58 likes · 5 reposts · 3 replies Open on X →
@davidjmalan @cs50 @OpenAI @Microsoft @github #cs50 38 views · 0 likes · 0 reposts · 0 replies Open on X →
@davidjmalan @cs50 @OpenAI @Microsoft @github Excellent approach to AI integration in CS education! The rubber duck debugger evolution shows how to enhance learning without replacing critical thinking. 🦆💻 46 views · 0 likes · 0 reposts · 0 replies Open on X →
"A look at how @CS50 has incorporated artificial intelligence (AI), including its new-and-improved rubber duck debugger, and how it has impacted the course already." 🦆 With Rongxin Liu et al. With thanks to @OpenAI, @Microsoft, and @GitHub. https://t.co/404RoxneIo 29.1K views · 398 likes · 72 reposts · 11 replies Open on X →

На фоне аккаунтов своего размера

3 постов за последние 90 дней рядом с диапазоном 100K–1M подписчиков. доходит до меньшего числа людей, чем аккаунты того же размера.

Медианные просмотры45этот аккаунт5 796медиана для 100K–1M
Охват, %0.04%этот аккаунт1.53%медиана для 100K–1M
Вовлечённость, %0.00%этот аккаунт0.98%медиана для 100K–1M
ПоказательЭтот аккаунтМедиана для 100K–1MОтношение
Медианные просмотры на пост455 7960.01×
Охват (просмотры ÷ подписчики)0.04%1.53%0.02×
Вовлечённость0.00%0.98%0.00×

Другие в этом диапазоне →   Сравнить с другим аккаунтом →   Как считаются эти ориентиры →

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

29.1K8 Sep
4612 Sep
3815 Sep
12.2K31 Dec
14.7K1 Jan
7.8K19 Apr
6922 Jul
45
1311 Aug

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.67%8 Sep
0.00%12 Sep
0.00%15 Sep
0.54%31 Dec
1.26%1 Jan
0.42%19 Apr
4.35%22 Jul
0.00%
0.00%11 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.98%.

What the audience does

Likes60.3%639 in total
Reposts9.3%99 in total
Replies2.6%28 in total
Quotes0.7%7 in total
Bookmarks27.1%287 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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