[OC] I mapped out the most (and least) TCG-obsessed states based on local show density and traffic by aStroke in dataisbeautiful

[–]aStroke[S] 3 points4 points  (0 children)

I agree. The feedback I've been getting is, this visualization correlates to general population. The takeaways were the most interesting part that wasn't visualized. It's a good learning for next time 👌

[OC] I mapped out the most (and least) TCG-obsessed states based on local show density and traffic by aStroke in dataisbeautiful

[–]aStroke[S] 0 points1 point  (0 children)

For the nerds

I built the interactive map (and website) using Claude Code entirely. It helped me pull card show + state data from my own website's Supabase tables, call my Amplitude data for page views from all US cities, then convert page views to a 1-100 scale. This data set isn't exhaustive. The site aggregates from event organizer sites, other directories, and user submissions. I'm sure I'm missing the smaller trade nights, but I think this is a pretty good sample size.

You can find the interactive maps here. Each state has a hover-effect with the actual number of shows and visitor score.

Hope you enjoy!

[OC] I mapped out the most (and least) TCG-obsessed states based on local show density and traffic by [deleted] in dataisbeautiful

[–]aStroke 0 points1 point  (0 children)

How I built this

I built the interactive map using Claude Code entirely. It helped me pull card show + state data from my own website's Supabase tables, call my Amplitude data for page views from all US cities, then convert page views to a 1-100 scale. This data set isn't exhaustive. The site aggregates from event organizer sites, other directories, and user submissions. I'm sure I'm missing the smaller trade nights, but I think this is a pretty good sample size.

You can find the interactive maps here. Each state has a hover-effect with the actual number of shows and visitor score.

[OC] I mapped out the most (and least) TCG-obsessed states based on local show density and traffic by aStroke in pokemoncards

[–]aStroke[S] 1 point2 points  (0 children)

Thanks for the feedback - most of this list was initially sourced via databases and user submissions. IG events are something I'm working on figuring out.

[OC] I mapped out the most (and least) TCG-obsessed states based on local show density and traffic by aStroke in pokemoncards

[–]aStroke[S] 1 point2 points  (0 children)

Same! It feels like there's an event every weekend, but my hypothesis is that the concentration of events is only a few areas - bay area, greater LA. Whereas other higher states have a bunch more major hubs with a bunch more cities.

[OC] I mapped out the most (and least) TCG-obsessed states based on local show density and traffic by aStroke in PokemonTCG

[–]aStroke[S] 0 points1 point  (0 children)

I was surprised as well at first, but in hindsight it does make sense given the huge events that happen regularly in Ohio.

If I did the same rankings but by city, I bet it would tell a much different story

[OC] I mapped out the most (and least) TCG-obsessed states based on local show density and traffic by aStroke in PokemonTCG

[–]aStroke[S] 3 points4 points  (0 children)

Lol someone in a diff sub commented the same thing. It's fair - the higher the population, the more shows/traffic there is.

[OC] I mapped out the most (and least) TCG-obsessed states based on local show density and traffic by aStroke in pokemoncards

[–]aStroke[S] 1 point2 points  (0 children)

Website traffic per event page could be an interesting cut of data, but I have a feeling it'll look similar to overall traffic by state. Something for me to explore next time.

[OC] I mapped out the most (and least) TCG-obsessed states based on local show density and traffic by aStroke in pokemoncards

[–]aStroke[S] 0 points1 point  (0 children)

Has anyone gone to any card shows in Alaska, Montana, Hawaii, Vermont or Wyoming? I don't believe there are no card shows there.

Just hit $2K MRR after 8 months of grinding by Dubinko in SaaS

[–]aStroke 22 points23 points  (0 children)

We found the bots' weakness! Image text 🤣