jjmccoolguy

Hi HN,

I wanted to share Anidachi: a physical/digital pet I'm creating inspired by Tamagotchis and the screenmate programs of the '90s and 2000s.

You can feed and play with Anidachis like other virtual pets, but I really wanted to make them as enjoyable as possible even when you're not actively interacting with them. To this end, they have an [optionally] always-on OLED display where you can watch them get up to mischief, and a form factor that's designed so that your Anidachi can be clipped to your bag or outfit rather than tucked away in a pocket or purse.

My site here has a demo video of a prototype that uses a Raspberry Pico 2 and 3D printed parts.

I'd love feedback on my work so far!

Just fixed the typo on "disproportionately" that was pointed out, and the duplication/misspelling of Michigan as "Michigan."

Will probably not address the other suggestions tonight and just chill.

Thanks everyone for your interest! I honestly thought this would die in "new."

Consider yourself lucky that I cut the over-long biographical introduction about my views on shopping and the effect of going back to school on my budget. I can tell you right now: neither funny nor interesting.

But for your curiosity, I chose women's tops because it's an item I buy, it represents a good portion of Goodwill sales (though I don't know how much), and it gives some consistent area for comparison more than if I was looking at, say, everything from old TVs to ceramic knick knacks.

I'm pretty thrilled you read several paragraphs though, haha.

Sorry, I was just vague. I scraped data for old listings around the site which seemed to go back to around 2014ish. Most data I collected last summer and over Christmas, and then it sat around for a long time.

Aw shucks! It is indeed d3, and, as per the commenter below, uses very very lightly adapted tufte.css for layout.

Can't answer conclusively. The big dip and the fall-off at the end were probably errors in my scraping. The site went down for a bit at a couple points, and the way dates were formatted changed a bit, all of which I thought I handled correctly but maybe not. And at a certain point of combing back over gaps, I just decided to be done.

I strongly get the impression that sales volumes did increase from 2014 onward, but sales in 2014, particularly in the early range there, probably appear lower than they are. IDs in that range sometimes returned normal Goodwill item pages, and sometimes returned 404-type pages. Maybe they migrated systems or something around that time?

You make some good points, I made some bad choices. To address: > Yes, I meant relative inside each state but phrased it poorly > With median price, I probably should have limited it to periods and states selling more than x items > And, yeah, Pennsylvania, and in particular the seller labelled "Goodwill Industries of North Central PA, Inc." dominates the market and should maybe have been excluded. I thought I'd get away with this by doing inner-state comparisons but it's still unideal

Thank you! I used d3.js, my first love.

That sounds like a better article.

I do love all this conjecture on the titling (and your comment that women's clothing is an important subject helps me feel a bit validated in my time spent on this). I categorize it as weird because it's quite niche, there's no actual call to action or news story, and I spent waaaaay too much time on it.

Ahhhhhhhh, sorry mate, good catch. I'll fix after work. I'm Canadian if it gets me a little off the hook.

There's some (easy) analysis to be done to look at if these brands are coming only from only one or two Goodwill sellers, which could help us better form a theory. I might take a look after work. Even then, I didn't want to go too far down that particular rabbit hole since understanding might (shudder) require me to get off the internet and call someone or something.