I downloaded 6 months of my personal Hinge data and made a website to visualize out of curiosity and to see if I could gain any insights. For context, I am 25M in a large city in USA. It's a bit crazy to see how many likes I actually sent, but overall the learnings were:

    1. Sending a comment with a like helped a decent amount but not way higher, might not be worth the time it takes
    2. Sending likes right before people check the app (after work at 5pm and in the morning at 9am) seems to pretty helpful
    3. With HingeX subscription, I my match rate did not change much which is pretty good given I sent more likes in this period (972 out of the 1235 total I sent)
    4. Going on dating app felt very time consuming given the match rates and I was basically doomscrolling on profiles at times. But I did meet people that I would have otherwise not met, so the value is still there.

    [OC] Data source: matches.json file from personal Hinge "download my data" in settings
    Tools: made hingereport.com and processed the data in javascript. Would love any feedback on this pet project, no data is saved and I'm not trying to make any money off this.

    by Zt0p

    9 Comments

    1. While I appreciate the layout of the data, tracking dating results like this has always struck me as… Unromantic

    2. Spends all day every day for months on their phone swiping for minimal to zero results. I’m glad I don’t do any of that shit. Fuck the apps.

    3. Lmao at Weezer showing up in the word chart.

      Edit: Oasis, too. Looks like you appreciate 90’s alt-rock.
      🤜🤛

    4. How does this factor in likes received backlog? I remember when I was on hinge I mostly just went through the backlog of likes I had already received instead of sending out likes myself.

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