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Crunch (Quant/acc)

@crunchDAO · Everywhere · joined 21 Jul 2020

Backed by @galaxyhq, @vaneck_us, Crunch's network of 10,000+ ML engineers delivers production-ready ML models for global scale.

33 564Followers
519Following
3 212Posts total
208.5KViews on collected posts

Последние посты

Harvard and Copenhagen Business School researchers studied 166 difficult R&D problems that companies had opened to outside scientists. The farther a problem was from a solver's own field of expertise, the more likely they were to produce a winning solution. Not because outsiders
8K views · 55 likes · 3 reposts · 10 replies Open on X →
"Any LLM can do this work, and then there's this step above of intelligence required to get alpha." Jean Herelle on @therollupco, talking about where the model stops and the edge starts. https://t.co/eAKJ502W4c
1:17
6.3K views · 53 likes · 3 reposts · 8 replies Open on X →
@crunchDAO out of sample data humbles everyone eventually, rebuild and send it again ngl 6 views · 0 likes · 0 reposts · 0 replies Open on X →
Sunday. Low signal area. High signal output. https://t.co/DckGmuwBti
0:08
7.9K views · 57 likes · 2 reposts · 8 replies Open on X →
@crunchDAO this image is painfully accurate 21 views · 0 likes · 0 reposts · 0 replies Open on X →
@crunchDAO Be consistent enough and never stop submitting 44 views · 0 likes · 0 reposts · 0 replies Open on X →
Out of sample data will wreck you. Learn, retrain, rebuild. Be delusional enough to resubmit. https://t.co/B8ofKfpzr8
10.1K views · 65 likes · 2 reposts · 9 replies Open on X →
@crunchDAO Love you guys 😘 10 views · 2 likes · 0 reposts · 0 replies Open on X →
@crunchDAO loved the video. lets go crunch! 796 views · 7 likes · 0 reposts · 1 replies Open on X →
@crunchDAO https://t.co/W1ALMsAmOh
GIF
92 views · 3 likes · 0 reposts · 0 replies Open on X →
One scientist, trained by thousands. https://t.co/fega63yX4Y
0:50
175.2K views · 892 likes · 493 reposts · 145 replies Open on X →

На фоне аккаунтов своего размера

11 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. ниже своих по обоим показателям — и по охвату, и по отклику.

Медианные просмотры796этот аккаунт989медиана для 10K–100K
Охват, %2.37%этот аккаунт3.56%медиана для 10K–100K
Вовлечённость, %0.85%этот аккаунт1.92%медиана для 10K–100K
ПоказательЭтот аккаунтМедиана для 10K–100KОтношение
Медианные просмотры на пост7969890.80×
Охват (просмотры ÷ подписчики)2.37%3.56%0.67×
Вовлечённость0.85%1.92%0.44×

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

175.2K15 Jul
92
796
102 Sep
10.1K4 Sep
44
21
7.9K6 Sep
67 Sep
6.3K
8K8 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.88%15 Jul
3.26%
1.01%
20.00%2 Sep
0.75%4 Sep
0.00%
0.00%
0.85%6 Sep
0.00%7 Sep
1.02%
0.85%8 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.92%.

What the audience does

Likes61.4%1 134 in total
Reposts27.2%503 in total
Replies9.8%181 in total
Quotes0.3%6 in total
Bookmarks1.3%24 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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