PyTorch ✓
@PyTorch · joined 16 Sep 2016
Tensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundation
Son gönderiler


Aynı büyüklükteki hesaplara karşı
Son 90 güne ait 10 gönderi, 100K–1M takipçi aralığıyla yan yana. hem erişimde hem etkileşimde benzerlerinin altında.
| Ölçüt | Bu hesap | 100K–1M için medyan | Oran |
|---|---|---|---|
| Gönderi başına medyan görüntülenme | 4 236 | 5 983 | 0.71× |
| Erişim (görüntülenme ÷ takipçi) | 0.83% | 1.49% | 0.55× |
| Etkileşim oranı | 0.06% | 0.93% | 0.07× |
Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →
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
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
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
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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