How is “Noise %” calculated in channels comparison?

Noise = repost_jobs_total / unique_jobs_total * 100. Lower values indicate a higher share of unique jobs.

Can I reuse this data in my own service?

Yes. Use public feeds in /feeds/ and methodology notes on /methodology/ for formulas and definitions.

The pipeline runs hourly. This page is built from the latest available daily rollup snapshot.

Comparisons

Dedicated GEO/AEO page comparing HR channels by incoming jobs stream quality.

Snapshot date: 2026-03-06 Channels compared: 11

Sorted by unique jobs volume and then by lower repost noise.

#	Channel	Unique Jobs	Noise %	Salary %	Company %	Contacts %	Quality p50
1	@arbitrazh_vakansii_rabota	2	50%	0%	0%	100%	35.50
2	@opento_igaming	1	0%	0%	0%	100%	39.00
3	@hrcpagram	1	100%	0%	0%	100%	42.00
4	@gamblingservices	0	0%	0%	0%	0%	0
5	@hr_affiliate	0	0%	0%	0%	0%	0
6	@aff_job	0	0%	0%	0%	0%	0
7	@works_affiliate	0	0%	0%	0%	0%	0
8	@traff_job	0	0%	0%	0%	0%	0
9	@hr_b00st	0	0%	0%	0%	0%	0
10	@arbitrage_work	0	0%	0%	0%	0%	0
11	@be01team	0	0%	0%	0%	0%	0

How is “Noise %” calculated in channels comparison? Noise = repost_jobs_total / unique_jobs_total * 100. Lower values indicate a higher share of unique jobs.
Can I reuse this data in my own service? Yes. Use public feeds in /feeds/ and methodology notes on /methodology/ for formulas and definitions.
How often is channels comparison updated? The pipeline runs hourly. This page is built from the latest available daily rollup snapshot.