I spent the last two weeks tracking & analyzing 13,159 Hacker News posts.
Here's what I learned.
Thread π
1) But first, why?
Because HN is an incredible source of traffic. I wanted to learn:
β What's the best day to post?
β What's the best time to post?
β How many upvotes do you need & in how much time?
β Does karma matter?
2) How?
I built a NodeJS script that polled Hacker News every 2 min, saving posts, users & votes in a Postgres database.
This is a unique approach because I am tracking votes and position in realtime, compared to analyzing large datasets after the fact (without this info).
I spent the last week compiling a list of 5,178 indie hacker profiles & Twitter accounts.
I then filtered the data in separate lists on Twitter based on followers, products & recent activity.
A thread π
1) Motivation
I'm very new to Twitter (August 2020). I try and provide value in my tweets, but still, Twitter is an incredibly lonely place when you're just getting started
(I currently only have 50 followers).
2 ) Motivation
I noticed my engagement increased when I engaged with similar people of a similar follower count.
Therefore, I set about making a list of people to interact with regularly.