/digglist Simple List Analytics

When @midi002 added more variables to the [Simple List](https://digglist.com/), I got curious and decided to play with the data a bit. Nothing fancy, a few formulas and a pivot to get an idea of how the community building has been going so far, with some quick spot checks for what type of posts are being made (e.g. human engagement or bots spamming). It is admittedly much too soon to tell how most of these are going to play out, I’m thinking of this more as an early baseline to compare future stats against. 

Data sets 2026-01-17 19:30:39 MST 

Total Community Count: 8,259 

- 45.32% (3,743) are empty at least one user has joined the founder, but zero posts 

- 33.55% (2,771) are ghost towns no users have joined and zero posts 

- 10.99% (908) are TBD not enough variables or history available to even guess 

- 7.76% (641) are unlikely to thrive coinflip if it’s a bot spamming or founder is passively posting 

- 1.84% (152) appear the founder is settling in nicely and is likely to continue, with a few dozen more suggesting a higher likelihood of thriving and a good cadence of posting being established

- Rounding difference is the nominal percentage that count as default communities 

Community Size 

- 35.75% no members have joined

- 61.76% are just getting started (under 50 members) 

- 2.18% are beginning to be discovered (51-500) 

- 0.05% have been spotted (501-1,000) 

- Remainder are the default communities 

Posting Volume 

- 79.23% have zero posts 

- 19.07% have content (1-10) 

- 1.4% are ramping up (11-100) 

- 0.05% are off to the races (100+) 

- Remainder are the default communities 

Bonus stat: 18% of total posts on the entire site are on /technology (@jacetchan could be interesting to see how the bagel may have changed from your [recent post](https://digg.com/digg/X1o9uYT/a-humorous-report-on-the-state) with so many more new communities in just the past day)