@SHUFFLE vs @profunctor_io
The score is an object’s place inside its own category, so only neighbours within a category are worth comparing. The category selected now is “Работа и вакансии”, and it holds 548 objects.
Shuffle.com
@SHUFFLE
86
отвечает
vs
∏ρ؃uñçτØρ Øπτµç∑ | 👁🗨››››
@profunctor_io
85
отвечает
A gap of 0 points is within the margin of error: the two are effectively level.
@SHUFFLE is stronger on: активность.
@profunctor_io is stronger on: вовлечённость.
Where the gap comes from
Each bar is the object’s place among its category neighbours: 100% means “best in the category on that component”.
@SHUFFLE@profunctor_io
охват
вовлечённость
активность
Position in the category
@SHUFFLE
@profunctor_io
Measured values
| Metric | @SHUFFLE | @profunctor_io |
|---|---|---|
| Subscribers | 34.1K | 38.8K |
| Median views | 14.2K | 25.7K |
| Engagement rate | 40.0% | 71.7% |
| Posts per month | 17 | 64 |
| Purity multiplier | 1.00 | 1.00 |
Views on recent posts
Older posts on the left, newer on the right. A flat line means a steady audience; a jagged one means the channel depends on the occasional viral post.
@SHUFFLE
@profunctor_io