I met my ex using Tinder for the first time in 2017. I deleted it after 3 days, having met them and immediately fallen madly in love. After 7-and-a-half years with them, we split last year. A few months ago I gave a cute chatty guy at a gig my number… and he never texted. Drats.
In fairness to him, I was dressed as a clown. It’s not for everyone.

This experience did get me thinking about whether I was ready to try dating again. My friends had regaled me with so many first date stories and shown me their swiping habits and I wanted to join the fun. I caucused them for information on how it all worked, what the social norms were, what the different apps were like… and downloaded Hinge on the second of May.
They’d all told me it was one of their quieter apps, which sounded good. When used Tinder in late 2017, it was basically the only real option. Now we had Hinge and Bumble and Coffee Meets Bagel and…
I didn’t really expect any of the dates I ended up going on to go well, and consequently didn’t think too hard about what I was looking for. I was upfront about this nebulous state with my dates, and set my profile to “Figuring out my dating style” too.
I carefully picked out my photos and prompts. A selfie and a full body photo in gothic clothes. A weird clown photo - with a friend. Something at the rail museum, a cosplay. A dorky prompt. I wanted my matches to know exactly what they were signing up for (massive nerd; alt fashion; likes dancing). I had a mini identity crisis as I tried to boil myself down to a concentrated personality.

I was shocked by the number of interactions on my profile within the first few hours. I was overwhelmed… and like any bad data scientist who can’t find a good API to process the data, I started a Google Sheet.

I decided I’d spend the week capturing data about the people who interacted with my profile in the sheet. In reality, I got tired of manual data collection, so the scope of data was shortened to 48 hours. The data I collected can be described as:
People who interacted (liked or commented) on my Hinge profile within the timeframe of
2026-05-03T19:00:00+11:00to2026-05-05T19:00:00+11:00
Each sample (uh, person) was a row in my spreadsheet, with the following attributes:
| Data | Data type | What is it? |
|---|---|---|
| Roses | Yes/No | Hinge has a feature where you can give someone a “rose” - it’s like saying “I realllllly like you”. |
| Reply | Yes/No | Did they actually type words or just “like” something? |
| Reply detail | Text | If they typed words, what did they type? |
| What did they interact with? | Text | What part of my profile did they interact with? |
| Matched? | Yes/No | Did I match with them? |
| Name | Text | Their name |
| Age | Integer (years) | Their age |
| Gender | Text | Their gender (my profile was open to everygender) |
| Job (adjusted) | Text | Their listed occupation - later simplified into a more general category for data analysis purposes. |
| Height | Integer (cm) | Their listed height. I don’t care about this (I have crushed on many people my height and shorter) but my friends seem to care. |
| Profile | Integer (0-10) | A rating on the quality of their profile, out of 10 |
| Hotness | Integer (0-10) | A rating on their hotness, out of 10. I can be shallow too! |
| Notes | Text | Anything else I felt compelled to comment on. |
Early on I collected more information from profiles (sexuality, religion, politics, etc.) but I stopped as I realised I didn’t really care how many atheists liked me.
| What? | Data summary |
|---|---|
| Number of interactions (samples / unique people) | 160 |
| Roses received | 12 |
| Number of people I matched with | 10 |
| Number of people I went on a date with | 5 (note 1 was not in the original 160 interactions) |
| Gender | 146 Men (91%) 12 Women (6 transwomen) 2 Non Binary |
| Most common name | 7 Dans/Daniels |
| Height | Mode: 183cm Mean: 179.66cm Median: 180cm Min: 164cm Max: 201cm |
| How many people wrote a reply? | 64/160 30% |
| Info | Mode: 7 Mean: 5 Median: 6 Min: 1 Max: 9 |
| Hotness | Mode: 2 Mean: 4 Median: 4 Min: 1 Max: 8 Note: only 3 people got an 8/10 I find personality is a huge factor in attraction. It’s hard for me to imagine rating anyone a 10 on physical appearance alone. |
Looking at the raw numbers, we see a pattern of what parts of my profile got the most interactions, and which items triggered comments.
| Photo/Prompt | Number of interactions | Did they actually write stuff? |
|---|---|---|
| Photo: Full body gothic | 39 | 2 |
| Prompt: Dorkiest thing | 26 | 20 |
| Photo: Selfie | 14 | 0 |
| Photo: Bowsette | 14 | 3 |
| Prompt: Museum | 13 | 10 |
| Photo: Railway | 12 | 1 |
| Prompt: Mini-golf | 12 | 12 |
| Photo: Skeleton | 10 | 4 |
| Prompt: Cocktails and Dancing | 6 | 4 |
| Prompt: Scones | 5 | 2 |
| Photo: Clown | 4 | 2 |
| Prompt: Opening Band | 3 | 2 |
| Other (bad data collection) | 2 | ? |
Anecdotally speaking, I noticed that:
But enough of numbers - let’s get to the good gossip and check out some of the responses I got.

None of these were very original - but they were all lighthearted and funny.
| Response samples: Skeleton |
|---|
| your friend there looks stiff |
| He was dying to take this photo! |
| Just two cool dudes hanging out B) |
| oh hey it’s me irl |
Look, I’d change this if I reactivated my profile because it didn’t trigger great conversation. The theme was people admitting they sucked, saying the loser had to buy dinner, or saying they hadn’t been in years. Standout replies for good and bad reasons:
| Response samples: Mini golf |
|---|
| PLEASEEEE |
| Ok… not sure how ok I am with the correct assumption that I will be terrible at mini golf hahaha |
| Is this a challenge?! |
| Let’s go to unpopular one so we can take all the time we need |
These triggered responses about my physical appearance. That’s cool and sweet, but does make it hard to start a conversation.
This triggered museum themed replies to other prompts too, which I liked.
Museum suggestions were pretty good:
I liked that this highlighted people who like dancing. Given the high rate of tech people my profile attracted… well, not everyone in that demographic likes to dance.
This triggered some of the strongest responses. I’ve copied almost all of them here. I have ordered this table roughly with responses I like more towards the top.
| Response samples: databases and dorkery |
|---|
| The NSA fear you |
| a literal SQL query to inject a date into my calendar |
| Oh my god, this is probably the hottest response to a prompt I’ve read, as someone who uses systems to document their things. Plus I need to show you this cool IG reel I found of someone making a live map of the Metro trains using LED lights. |
| infodump on tram maps |
| Ooooh do you tap as you use or do an audit style? Please infodump your system <3 also would you be interested in doing one of the longer train rides… |
| Usually people leave this level of dirty talk for a few dates… |
| Ok I am curious about the database thing but also YOOOO A FELLOW TRAM AND TRANSPORT NERD (though I am personally partial to trains) |
| I absolutely love the database with tags! The nearest I have is my brownie recipe spreadsheet! I used to work im public transport and still geek out on that… Take me to the tram museum? |
| Wait this is so fucking cool hell yeah I love this so much |
| Best thing I’ve ever heard! |
| infodump on home assistant system |
| How do you know how much product you use? Or do you average it? |
| One day I strive to be that organised and track my usage for things like that |
| That’s super cool! Why do you track that specifically? Is there anything else that you track in a similar way? |
| That is the best thing I’ve heard on here! Does it just track which makeup you use or do you also track how much you use |
| Ok the database is up there, I don’t think I’ve ever heard of that before. |
Special mention for replies I really didn’t like:
| Response samples: bad |
|---|
| Finally someone who can keep up with my autism |
| It wasn’t a competition |
In the “Notes” section I captured my unfiltered thoughts. As I worked out what the average dating profile looked like, I had less to say. I did think it might be fun to publish some of my inner monologue here.
| Samples from my notes |
|---|
| Cutie, but not really my type Note: there was a lot of this in the notes data. |
| Looks cute, maybe toooo nerdy |
| 6 cats??? |
| That is a LOT of beard |
| very funny reply |
| The pringles man was cremated into a can??? |
| hot but so boring Note: this profile got one of the three 8/10 hotness scores, and a 1/10 profile score. I did not match. |
| Unclear if they’re cute and bad at selfies or not cute |
| My type. I like em with eyeliner on. I want to see more. Note: this is the only 8/10 hotness I matched with. |
| Mouse dissections??? Okay girl go off |
Not everyone fills this in and some people fill it with such garbage data that it may as well be empty. Special mention to “Game Master Escape Room” for the coolest entry on the list. I tried to sort people into broader buckets.
There was a bit of overlap with creative/tech jobs, so I’ve made some executive decisions (web designer, VFX…). I’ve included some sample job titles in the data for reference too.
| Item | Examples | Number |
|---|---|---|
| Creative | Designers Performers 3D Character Artist |
29 |
| Warehousing / Trades | Carpenters Forklift operator (10) Warehousing Sparky Mechanic (3) |
25 |
| Tech | Data analyst IT Programmer QA Web Dev |
20 |
| Hospitality | Fast food Chef Pokies Barista |
9 |
| Medical | Doctor Physio Nurse |
8 |
| Customer Service and Retail | 7 | |
| Engineer | 5 | |
| Teacher | 4 | |
| Finance | 3 | |
| Social services | Disability support | 3 |
| Law / Legal | 2 | |
| Studying | PhD | 2 |
Hi there forklifters <.<
I thought it might be interesting for people to see who I went on dates with from a profile quality and hotness perspective.
| Profile quality | Hotness | Average | Matched / Dated? |
|---|---|---|---|
| 5 | 6 | 5.5 | Matched |
| 6 | 3 | 4.5 | Matched |
| 6 | 7 | 6.5 | Matched |
| 7 | 3 | 5 | Matched |
| 7 | 6 | 6.5 | Matched |
| 7 | 3 | 5 | Matched |
| 7 | 7 | 7 | Dated |
| 7 | 8 | 7.5 | Dated |
| 8 | 6 | 7 | Dated |
| 6 | 6 | 6 | Dated |
I tended to match with people who had actually said something interesting in response to me - it was probably the easiest filtering mechanism to use. Exceptions could have been made for people with very interesting profiles or who were extra cute - but that didn’t appear in this data.
If I was talking to someone and interested in them I basically asked them on a date within the first 24 hours of talking. With this approach, I have been on dates with 5 unique people from 2nd May until now (4 of which are captured in the data presented here). People responded well to my very direct approach. I didn’t really want to text for weeks - I wanted to organise a date, text between now and then, and see how it went.
Here is what my May / June calendar ended up looking like, where each unique person has their own emoji and colour:

Some things I learned about myself while doing this…
I told every date about the spreadsheet, the fact I was learning what I was doing, and the fact I was multi-dating.
Everyone seemed to appreciate the honesty even if they were a bit confused or… well, whatever the normal response to your date admitting you’re in their database is. Only one person has had the guts to ask to see their entry.
It was honestly weird to reduce people down to their data this way - but when you have 160 people attempting to talk you in a 2 day span, and your goal is actually going on dates with people face to face, there’s a filter mechanism happening regardless.
It’s not a competition but…
| Emoji | # of Dates | Comments |
|---|---|---|
| 🤸 | 1 | Really lovely (clever, lots of cool hobbies, originally planned a second date), but I liked other people by the time we met. |
| 🛹 | 2 | Very pretty and interesting to talk with. Would have gone on more dates if they’d asked. |
| 💻 | 3 | Some compatibility issues came up, but I had fun. |
| 🦆 | 5 | Very cute and sweet and extremely interesting. Someone is going to fall so hard in love with them one day. |
| 🎩 | 7 | Interesting. Funny. Gorgeous. Seven dates was not in the experimental plan. |
My friends were all extremely excited to hear about how things were going, but also found it challenging to keep up with who was who in the (Excel) zoo.
I keep a list in my notes app to keep track of who my friends are seeing. I don’t want to forget that Ryan is the one with tattoos who doesn’t like ice cream. To be honest, I was having trouble keeping up with the information at this stage too - so I resorted to a summary Google doc, featuring the date calendar, and 1 page profiles for people I was going on a date with / had been on a date with.


Note: this is a screenshot of a real profile which has been heavily redacted. This person was not into fishing as far as I knew. They had a lot of cool hobbies. Sorry if you see this bestie, this is not a reflection on you.
Just be yourself~
Okay, okay, in seriousness…
This is not a comprehensive list, but I did learn some things about what I’m looking for from a date.
I’ve also learned that while no one likes being rejected, people tend to be kind and thankful for anything that isn’t ghosting. Huge respect to the pleasant and kind responses I had from people who I eventually turned down.
I’ve paused my profile while I see how the in person dates pan out - the digital data sorting is fun, but the real goal is meeting humans and connecting with them, not filtering columns and rows.
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Kiowa Scott-Hurley