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The Pragmatic Engineer

@Pragmatic_Eng · joined 05 Jul 2022

Big Tech and startups, from the inside. The #1 technology newsletter on Substack. Sign up at https://t.co/MPNdQSVnwV. Podcast: https://t.co/nVOulBGYoh

49 839Followers
3Following
568Posts total
41.7KViews on collected posts

Últimas publicaciones

Don't think "great software engineer." Think "great in that role." Casey Muratori, @cmuratori, programmer and performance nerd, on what makes a good engineer: "I would liken it to a baseball team. What's a good baseball player? Well, are we talking about a pitcher or a https:// 1.9K views · 19 likes · 0 reposts · 1 replies Open on X →
@cmuratori Find out why software performance matters and how developers can write faster code with Casey Muratori on The Pragmatic Engineer podcast • YouTube: https://t.co/O0Ii3ABwYX • Spotify: https://t.co/Y1B4QDT2IV • Apple: https://t.co/xhKuHJrGx4 • Summary and transcript: 955 views · 1 likes · 0 reposts · 0 replies Open on X →
Is premature optimization the root of all evil? Casey Muratori, @cmuratori, programmer and performance nerd, with three takeaways: #1 - Performance experts can't clean up after the fact “The idea is I'm just going to delay optimization work. I'm just going to make whatever I'm 20.8K views · 35 likes · 4 reposts · 1 replies Open on X →
How do you stay hands-on whilst leading a 50+ person org? @addyosmani, author & formerly Google engineering director: "You want to get to a point where your machine, your org, is self-sufficient enough that you just need to occasionally tap the blimp to make sure things are http 2.1K views · 9 likes · 0 reposts · 1 replies Open on X →
Software engineers should read papers. Casey Muratori, @cmuratori, programmer and performance nerd, on why it’s worth your time: “I want to recommend that people read a paper. I am constantly reading papers on things that I am interested in. If I'm going to go do some https:// 4.9K views · 63 likes · 2 reposts · 1 replies Open on X →
“Production is a stage of development.” Charity Majors(@mipsytipsy), CTO and cofounder of Honeycomb, on what devs can learn from QA and Ops: “Ops and QA have always been more concerned with what is. Software engineering has always been much more concerned with how it should be. 2.9K views · 14 likes · 0 reposts · 2 replies Open on X →
@Pragmatic_Eng @cmuratori Perspective is worth 80 IQ points. I'd rather build the table too. Most of the world still needs to buy a chair somewhere. 109 views · 0 likes · 0 reposts · 0 replies Open on X →
@cmuratori Find out why software performance matters and how developers can write faster code with Casey Muratori on The Pragmatic Engineer podcast: • YouTube: https://t.co/O0Ii3ABwYX • Spotify: https://t.co/Y1B4QDT2IV • Apple: https://t.co/xhKuHJrGx4 • Summary and transcript 1.5K views · 3 likes · 2 reposts · 0 replies Open on X →
"We are not using AI tools at all". Casey Muratori, @cmuratori, programmer and performance nerd: “The reason that I want to program things in a game is because I want to program them. If I just wanted an AI to program them, we'd probably just go use a licensed engine. I https:/ 6.5K views · 56 likes · 4 reposts · 5 replies Open on X →

Frente a cuentas del mismo tamaño

9 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. alcance normal para su tamaño, reacción más débil que la mayoría.

Visualizaciones medianas2 105esta cuenta924mediana de 10K–100K
Alcance, %4.22%esta cuenta3.62%mediana de 10K–100K
Interacción, %0.47%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación2 1059242.28×
Alcance (visualizaciones ÷ seguidores)4.22%3.62%1.17×
Tasa de interacción0.47%1.52%0.31×

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

6.5K28 Aug
1.5K
10929 Aug
2.9K30 Aug
4.9K31 Aug
2.1K1 Sep
20.8K2 Sep
955
1.9K3 Sep

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

1.02%28 Aug
0.33%
0.00%29 Aug
0.56%30 Aug
1.40%31 Aug
0.48%1 Sep
0.20%2 Sep
0.10%
1.07%3 Sep

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

What the audience does

Likes62.7%200 in total
Reposts3.8%12 in total
Replies3.4%11 in total
Quotes1.6%5 in total
Bookmarks28.5%91 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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