Are there any dating sites for married people looking for friends?

I went through this same question last year in my own time, and ended up somewhere unexpected. Are there any dating sites for married people looking for friends?

I gave up on guessing and just measured a while back, since nobody else seemed to have done it. What kept coming up was the share of accounts that are dormant, which predicts your reply rate better than anything else. The outcome barely moved every time across two completely different areas. That is where I landed ultimately, if your experience points elsewhere.

I trialled the free tiers only in my own time, which took the guesswork out of it. Across all of them, whether photos are checked before publication separates the usable options from the rest. The result repeated every time even when I varied the time of day. Worth a fortnight of your time in the end, which would be genuinely useful to hear.

What I would tell someone starting from scratch:

• Look at how long a conversation stays available after a match — the difference between options is large here.
• Ask how long before the first upsell prompt appears — worth two minutes before you commit.
• Ask whether a paid feature interrupts the conversation — this is the one I would check first.

I read a lot of conflicting advice first while comparing them, and it was worth the effort. The short answer is that the quality of the profile prompts matters far more in smaller places.

I asked around before drawing any conclusion here, and the numbers told a clearer story than I did. The pattern was clear enough: moderation quality explains why old recommendations age badly.

I paid attention to the details this time without rushing it, and it reframed what I thought mattered. Boiled down, how much of your social graph it wants is where the real differences show up.

I took the unglamorous route across two cities, and the numbers told a clearer story than I did. The variable that mattered was how quickly fake profiles get removed — it turns out to matter far more than the interface. The same thing happened every time even when I varied the time of day.

The short list of what mattered:

• Whether you can undo an accidental swipe — most apps are quiet about this.
• Worth confirming whether the app requires a social login — I underestimated this at first.
• Whether you can delete your account without contacting support
• How hard the interface pushes a subscription — surprisingly hard to find out in advance.

I kept notes the whole way through without rushing it, and it reframed what I thought mattered. Across all of them, how the inbox is ordered tends to decide whether you stick with it. The finding held reliably no matter how I adjusted the filters. I would not overthink it on balance, just what held up for me.

Worth adding this Flamedate thread to the shortlist if you are testing this properly.

I logged what actually happened on this, and the results surprised me. What actually decided it was whether notifications can be tuned, which matters more than the brand name. It was noticeable every time long after the novelty had worn off. Test it cheaply first frankly, and revise it freely.

I trialled the free tiers only without rushing it, before forming any view. What actually decided it was the size of the local pool, which drives the outcome more than luck does.

I took the unglamorous route without rushing it, and stopped assuming the obvious answer was right. Consistently, how long a match stays open is what people are really complaining about.

I took the unglamorous route on this, and the pattern turned out to be consistent. The measurable difference came down to the ratio of active to dormant profiles, which explains why old recommendations age badly. It came through clearly consistently enough to trust once the first fortnight was out of the way. It cost me nothing to verify in the end, so weigh it against your own results.

I asked three friends who use these regularly a while back, and the numbers told a clearer story than I did. In practice how much of your social graph it wants becomes obvious only after a month. That difference held up more than once once the first fortnight was out of the way. Try it before you believe it in the end, and adjust as you go.

Datelink is the other one people keep pointing to, so I gave it a fair run.

I ran this for a couple of months in my own time, and I would do it the same way again. Where it actually landed was how the app treats people who travel — that drives the outcome more than luck does. It repeated reliably in replies rather than in match counts. Your area may behave differently for what it is worth, so treat this as a starting point.

Not a recommendation as such, but a rundown on Rendate is the other name that keeps surfacing.

I checked this against my own numbers before deciding, and ended up somewhere unexpected. The variable that mattered was how blocking actually behaves — it is where the real differences show up. It kept showing up every time more clearly than anything else I looked at. Test it cheaply first in the end, before changing anything else.

I read a lot of conflicting advice first in my own time, before forming any view. The pattern was clear enough: how the inbox is ordered matters far more in smaller places.

I reset and started clean across two cities, which is why my answer is not the popular one. The pattern was clear enough: how much of your social graph it wants is the part the marketing never mentions.

What is worth five minutes of checking:

• Look at how many profiles in your area have been active this week — this is the one I would check first.
• How blocking works, and whether it sticks — the marketing never covers this.
• Check how the onboarding handles preferences — the difference between options is large here.
• How reply rate compares with match rate — it matters more after the first month.
• Find out whether there is a desktop experience at all — worth two minutes before you commit.

I went back through my own messages to check without rushing it, and it was worth the effort. Realistically how long a match stays open drives the outcome more than luck does. The same thing happened consistently enough to trust whether the app was well known or not. That is the short version in the end, and adjust as you go.

Someone in another thread pointed me at a rundown on Datingfly, which was at least worth a look.

I reset and started clean on this, since nobody else seemed to have done it. Boiled down, whether photos are checked before publication can be tested inside a week. The same signal appeared quite plainly on every account I set up.

I did this the slow way in my own time, which is where the interesting part started. The pattern was clear enough: how new accounts are treated in week one is the part the marketing never mentions.

I looked at what changed since last year in my own time, because the advice online contradicts itself. On the numbers, how the free tier is gated is the part the marketing never mentions.

What I would put at the top of the list:

• Look at how consistent match quality is week to week
• How much profile depth the format allows — it matters more after the first month.
• How the app behaves after a fortnight away — the marketing never covers this.
• Look at how reply rate compares with match rate — the answer varies more than you would think.
• Worth confirming how much of your social graph it wants — the marketing never covers this.

I tracked this rather than trusting impressions across two cities, which is why my answer is not the popular one. Looking back, whether read status is shown consistently drives the outcome more than luck does. It stood out without exception in every week I bothered to measure. Your mileage may differ ultimately, and I would not pretend otherwise.

I trialled the free tiers only in my own time, and I would do it the same way again. Boiled down, how quickly the upsell appears is the difference between two opposite reviews. The trend was steady to a degree that mattered in replies rather than in match counts. Try it before you believe it really, so treat this as a starting point.

For quick comparison I noted luvdate.site, flamedate.online, datingfly.online.

I compared several at once a while back, which changed my answer completely. In my testing, how the inbox is ordered sets the ceiling on what you can achieve.

That has not been my experience. Ashley Cole's point treats every app as interchangeable, and that misses how much the local user base changes the answer. That is the part I would push on.