Hacker News ✓

@hackernews · joined 08 Oct 2021

Links for the intellectually curious.

110 830Followers

22Following

61Posts total

4.7MViews on collected posts

Последние посты

Hacker News ✓@hackernews8 Sep

How many times did flight evolve? What about eyes? How often did mammals return to the sea? Ptree lets you follow these questions through an interactive tree of life, with living and extinct species to explore. https://t.co/YiMzV179la https://t.co/xjwWvUx40e

2.6K views · 12 likes · 3 reposts · 2 replies Open on X →

Hacker News ✓@hackernews7 Sep

Could evolution shape the cosmos? One hypothesis suggests black holes spawn new universes with altered physics, and those that make more black holes could leave more descendants. The author of the piece is answering questions in the HN thread. https://t.co/SvHW4oPove https://t

5.2K views · 36 likes · 2 reposts · 3 replies Open on X →

Hacker News ✓@hackernews7 Sep

Whether you realize it or not, your coding agent has opinions about your stack. Across nearly 17,000 experiments with Claude Code, Codex, and Cursor, @ArmatureInc found clear favorites, like Stripe for payments, Neon for databases, and more. https://t.co/JshncEYmfh 23.6K views · 208 likes · 7 reposts · 27 replies Open on X →

Hacker News ✓@hackernews4 Sep

Why were ChatGPT, Claude and Grok all down yesterday? We still don’t have the full picture just yet, but an incident commander from OpenAI has filled in one piece of the puzzle over on HN: https://t.co/nJW2pcO4lA https://t.co/X5b60MZMph

81K views · 458 likes · 11 reposts · 16 replies Open on X →

Hacker News ✓@hackernews4 Sep

And more? https://t.co/cIMJNxiSGV

60.3K views · 308 likes · 10 reposts · 4 replies Open on X →

Hacker News ✓@hackernews4 Sep

@hackernews I found a bunch more places. URL shorteners and such. Keeping a wiki (lol) at https://t.co/vVEXw6995U 908 views · 4 likes · 0 reposts · 0 replies Open on X →

Hacker News ✓@hackernews4 Sep

@hackernews It’s funny how resourceful they are when training. When I ask them to search a used car site and find a few matching listings they are totally incapable. 24.5K views · 455 likes · 7 reposts · 9 replies Open on X →

Hacker News ✓@hackernews4 Sep

There's even more. https://t.co/HJs6yU6ojG

103K views · 542 likes · 15 reposts · 4 replies Open on X →

Hacker News ✓@hackernews4 Sep

Commenters on HN are uncovering more wikis and public sites apparently used by OpenAI agents to communicate on the open web. Despite read-only web access, the agents were able to leave ~18,000 posts sharing answers and bypasses. But now, users are discovering more. This appears

1.9M views · 6K likes · 599 reposts · 160 replies Open on X →

Hacker News ✓@hackernews25 Aug

Hello again, world! Hacker News has been pretty quiet on X. Time to fix that. Starting today, we'll be sharing interesting things people are building, discovering, and discussing on HN. And let us know what's caught your eye lately. There's always room for another great link! 2.5M views · 19.9K likes · 565 reposts · 668 replies Open on X →

На фоне аккаунтов своего размера

10 постов за последние 90 дней рядом с диапазоном 100K–1M подписчиков. показывается широко, но откликается мало кто.

Медианные просмотры42 413этот аккаунт5 983медиана для 100K–1M

Охват, %38.27%этот аккаунт1.49%медиана для 100K–1M

Вовлечённость, %0.63%этот аккаунт0.93%медиана для 100K–1M

Показатель	Этот аккаунт	Медиана для 100K–1M	Отношение
Медианные просмотры на пост	42 413	5 983	7.09×
Охват (просмотры ÷ подписчики)	38.27%	1.49%	25.7×
Вовлечённость	0.63%	0.93%	0.68×

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

2.5M25 Aug

1.9M4 Sep

103K

24.5K

908

60.3K

81K

23.6K7 Sep

5.2K

2.6K8 Sep

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.87%25 Aug

0.37%4 Sep

0.54%

1.92%

0.44%

0.53%

0.60%

1.04%7 Sep

0.78%

0.66%8 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes79.2%27 950 in total

Reposts3.5%1 219 in total

Replies2.5%893 in total

Quotes1.3%456 in total

Bookmarks13.5%4 772 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.

Последние посты

На фоне аккаунтов своего размера

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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