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⭐ I decided to analyze 58,950 users from Indie Hackers twitter account 🤩 (Part1)

Hey guys!
It all started just because I’m curious how to grow my twitter account better. I decided to make a mini-research & pull the public data of almost 60k IndieHackers followers from Twitter and see what I can learn & share it.

The goal of posting it here is:

  1. to share what I found so far & discuss it with someone
  2. to get more ideas what can be interesting to know besides - where to dig and so on 🙏🏻
  3. to dig deeper & provide more value 🚀

🟡 Done so far:
I’ve got names, created_date, followers/followings, # of tweets, bios of all the users
Breaking them down into cohorts + a basic analysis of the bios.

🟡 General overview:

  • 46% of users have <100 followers
    (cohorts = days from-till):
    followers

  • 52% of users follow <499 accounts
    (cohorts = followings, from-till):
    followings

  • 55% of users have <499 tweets
    (cohorts = number of tweets, from-till):
    tweets

  • 66% of accounts are older than ~5 years
    (cohorts = days of account existing, from-till):
    age

🟡 TOPs:

  • Top 10 accounts by followers:
    top10followers

  • Top 10 accounts by followings:
    top10following

  • Top 10 accounts by tweets number:
    top10tweets

  • Top 10 accounts by age:
    top10days

🟡 Early growers:
Those who just started (<50 days) & grew past 300 followers seem to be following aggressively:
300+ followers

Accounts who grew to 500+ followers in the last 100 days look like this:
500+ followers

(looks like they either start with following others, or are really active (# of tweets), or maybe have other source of audience - eg, other social media)

But accounts who grew to 10k+ followers in the past 365 days don’t have a high following/followers ratio:
10k+ followers

🟡 Bios content:

I checked the # of bios containing some words assuming this may correlate with the audience interests/niche they are working at, etc. Here is the result:
bios overview
IH users seem to be founders with mostly technical background + there are more niches/interests that are interesting to check.

What I was even more excited to see is the ability to find the intersections of interests in particular bios. This may be a good way for lead generation/targeting particular people in a niche you are working in. For example, 'founder' + 'nocode':
bios search

🟡 Further plans & questions I have so far:

  1. Dig into the posts from particular groups of people - to analyze their content, see best posts, etc
  2. To track users' growth rate & check those who grow faster
  3. To expand the research beyond IH community (eg, to 400k+ of Product Hunt and others. Btw, 20k of IH are the PH members :))
    If other people see value in these and other insights -> to build a tool providing this information to others

🟡 Just so you know:

If you have any questions/ideas what you’d like to see from this data -> please, let me know! I'll be happy to check them & share for you. If we have enough question here, I'll be happy to make a Part2 of it.

Also if you would like to work with a tool having all this data yourself - please, leave your email in a Typeform here - so I'll know you are curious about it: https://maxreva.com/twitter.

Also don't hesitat to ping me on twitter, ofc 😅!

Thanks for reading this & hope it brings value to you guys! ♥

  1. 2

    Jeez, this is massive!!! Thank you for taking your time.

    I did something similar, I analysed the tweets of IndieHackers to understand which converts better. I shared this on a thread: https://twitter.com/ToheebDotCom/status/1371481721766559744?s=20

    It may give an insight into one of the other questions you have (on posts and engagements).

    Nice job! Like you, I was curious too. Can't wait for the next part.

    1. 1

      Thank you! Glad to check your thread 👍☺️

  2. 2

    This info is very interesting! Congrats for the initiative! Can you share what stack did you use to "mine" for data?

    1. 1

      thank you!
      sure, it's simple: python (tweepy) + twitter api + vultr server

  3. 2

    Thank you so much for sharing this! According to the tables in the post, it looks like constant activity (tweet/d avg ) pays off - this is a nice point. I'll wait for the next part)

    1. 1

      thank you!

      exactly, people with bigger audience seem to post more actively.
      I'm thinking about categorization of the content -> to be able to say, which type of content works better 😍

  4. 2

    This comment was deleted 3 years ago.

    1. 2

      thanks for your thoughts!
      I'm definitely glad to hear about Connect & looking to research more about it. Right now I'm just curious to find what works for growing my account + have like 3 different product directions to think about - trying to understand what's more valuable.

      Also good point about the community/course/books: I didn't see them in top, so didn't check their numbers. They aren't too big, but still they are here:

      books included

      1. 2

        This comment was deleted 3 years ago.

        1. 1

          thank you!

          well, agree with you on the 'outside' building of the audience.
          as for the 'inside' one -> I'm still experimenting with it.

          it's also not necessarily connected to the engagement/growth itself -> I'm also thinking about mining the content, for example -> it's just really wide area and I think there is still some space for a useful tool here. the real question is how to frame it to bring most of the value, though.

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