5 ms·

this is surprisingly close to the algorithm we used when naming our kids. Another important rule for us was that the name couldn't already be popular, but coul

by ishjoh 5y ago

this is surprisingly close to the algorithm we used when naming our kids. Another important rule for us was that the name couldn't already be popular, but couldn't be really obscure either, a sweet spot where the name could potentially be popular in 10 or so years.

zppln 5y ago
Yup, that was important to us as well for our first kid. And we actually ended up with a name we're very pleased with (and one that had never really crossed my mind before), something I honestly didn't think would be possible when we started.
- doctoboggan 5y ago
  My wife and I are working on names for our first child. Did you ever generate a list using your algorithm? We are trying to follow similar rules for our naming choice.
  - bitshiftfaced 5y ago
    Here's what worked for me: 1. Get a list of the top 1000 names. 2. Remove the top x names. 3. Randomize the names. 4. Go through the list slowly, say them out loud with the last name, and eliminate names you 100% know you won't choose. If you find yourself pausing on a name wondering if you should keep it, then keep it for now. Keep an open mind. 5. If a name sticks out, put a star by it. 6. When it starts getting too monotonous, then stop and pick it up later. 7. After you're done, randomize them again and make another pass. 8. Repeat until you have a small list, and share them with your partner. Note: there are good names outside the top 1000, too.
    - hulitu 5y ago
      10. Make an NFT of the remaining names and give this to the child. 11. Profit :)
  - zppln 5y ago
    Sorry no, we just used various apps and reduced the lists they provided manually. Usually the lists local to my country are only a thousand or so names long, so it's fairly quick work. I think that might be a bit more tedious for the US from what I've seen. There was an Android app posted here a while ago [1] that is clean and has over 100k names, which is a bit steep. But it also allows you to filter by decade, which might help reduce the scope somewhat. [1] https://news.ycombinator.com/item?id=29118785 https://news.ycombinator.com/item?id=29118785
bitshiftfaced 5y ago
My guideline was that the probability that they would share a class with someone with the same name was below some threshold. This kept things in perspective since "in the top x in popularity" wasn't very meaningful to me. And if it was on the high side, I wanted to see it trending away from popularity over the last decade.

by ishjoh 5y ago

zppln 5y ago

Yup, that was important to us as well for our first kid. And we actually ended up with a name we're very pleased with (and one that had never really crossed my mind before), something I honestly didn't think would be possible when we started.

doctoboggan 5y ago
My wife and I are working on names for our first child. Did you ever generate a list using your algorithm? We are trying to follow similar rules for our naming choice.
- bitshiftfaced 5y ago
  Here's what worked for me: 1. Get a list of the top 1000 names. 2. Remove the top x names. 3. Randomize the names. 4. Go through the list slowly, say them out loud with the last name, and eliminate names you 100% know you won't choose. If you find yourself pausing on a name wondering if you should keep it, then keep it for now. Keep an open mind. 5. If a name sticks out, put a star by it. 6. When it starts getting too monotonous, then stop and pick it up later. 7. After you're done, randomize them again and make another pass. 8. Repeat until you have a small list, and share them with your partner. Note: there are good names outside the top 1000, too.
  - hulitu 5y ago
    10. Make an NFT of the remaining names and give this to the child. 11. Profit :)
- zppln 5y ago
  Sorry no, we just used various apps and reduced the lists they provided manually. Usually the lists local to my country are only a thousand or so names long, so it's fairly quick work. I think that might be a bit more tedious for the US from what I've seen. There was an Android app posted here a while ago [1] that is clean and has over 100k names, which is a bit steep. But it also allows you to filter by decade, which might help reduce the scope somewhat. [1] https://news.ycombinator.com/item?id=29118785 https://news.ycombinator.com/item?id=29118785

bitshiftfaced 5y ago

My guideline was that the probability that they would share a class with someone with the same name was below some threshold. This kept things in perspective since "in the top x in popularity" wasn't very meaningful to me. And if it was on the high side, I wanted to see it trending away from popularity over the last decade.