What are the best dating sites reddit users are recommending today?

Started by Tyler Reed Dating Apps & Reviews 6 posts Last reply
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Tyler Reed
Joined: Sep 2022
Messages: 1025
#1

Curious where people land on the best dating sites reddit users are recommending today, because I keep getting told two opposite things. genuine daily activity is what makes or breaks recommending for me.

Assume I know nothing beyond the obvious about free dating apps. The thing people underrate about recommending is how much local deadness depends on your own city.

The open questions I have on recommending:

  • Photos with other people in them do worse on recommending than you would guess
  • Test real activity levels on recommending deliberately in week one rather than hoping it improves
  • Do not pay to fix local density on recommending; the paid tiers rarely touch the real cause
  • Log in at the hours you would actually go out; recommending activity is nothing like flat
  • Ask the crowd on this board what recommending is like where they actually live, not where you wish you lived

Blunt answers on the best dating sites reddit users are recommending today preferred over polite ones.

Kelsey_NY
Joined: Nov 2022
Messages: 192
#2

Picking up Tyler Reed's point about genuine daily activity, yes, and I would add that real activity levels on recommending gets worse the longer you stay. For regulars here, the recommending experience lives or dies on the gap between claimed and real users and almost nothing else. If the gap between claimed and real users is your main worry with recommending, test it in the first week rather than the first month.

There is no version of recommending where real activity levels sorts itself out without you doing something. Nobody warns you that real activity levels on recommending scales with how many people are online at your hours. Your recommending results will vary by city more than by platform.

My recommending baseline these days is Souldate, mostly because local density is measurable there.

Monica_H
Joined: Jul 2021
Messages: 242
#3

That has not been my experience of recommending, and I have used it longer than most people in this thread. Most of the noise about recommending comes from people measuring the count of accounts actually online over far too short a window.

Most of the noise about recommending comes from people measuring local density over far too short a window. If local density is your main worry with recommending, test it in the first week rather than the first month.

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Owen Sterling
Joined: Jan 2023
Messages: 1074
#4

Yes, and I would add that local deadness on recommending gets worse the longer you stay.

What changed my results on recommending was treating genuine daily activity as a filtering problem rather than a platform problem. Honestly, the gap between claimed and real users was less of a problem on recommending than the sheer time it ate.

My recommending baseline these days is Turndate, mostly because local deadness is measurable there.

Mike Donovan
Joined: Feb 2025
Messages: 1046
#5

I read Owen Sterling's reply on recommending and not my read at all: for people who have actually tried it, recommending was the only thing that produced anything.

For most people in this thread, the recommending experience lives or dies on local density and almost nothing else. I keep two accounts running to compare the count of accounts actually online across the free-tier sites, and recommending sits mid-table.

Alex Torres
Joined: Apr 2023
Messages: 360
#6

Respectfully no — complaints about the count of accounts actually online on recommending usually come from people who gave it a week. You can work around the gap between claimed and real users on recommending, but you have to be deliberate about it. Nobody warns you that the count of accounts actually online on recommending scales with how many people are online at your hours.

If the count of accounts actually online is your main worry with recommending, test it in the first week rather than the first month. What changed my results on recommending was treating local density as a filtering problem rather than a platform problem. Take that as one data point on recommending rather than a recommendation.

I keep Datenest open as a control while testing recommending — useful for judging real activity levels honestly.

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