#product development

[miamaimania]

Talking Barbie prototype ⎈ A voicebox where a heart should be

[solarpunkbusiness]

“Climate-adaptive paint” changes color according to the outside temperature

White paint reflects heat, and black color absorbs it. From a building energy efficiency perspective, applying this concept results in significant energy savings. What if the facade of your home changed color with the weather? When it’s cold outside, the facade darkens, and when it’s hot, it becomes whiter.

New York industrial designer Joe Doucet has developed what he calls “climate-adaptive paint” that can change color according to the outside temperature.

Read details of his product development process

[mayakern]

these have been in development for SO long and they’re finally almost ready! we’re hoping they’ll be available for purchase in november/december, but holiday production is always a nightmare so we’ll see. this is rambly but we like sharing development updates with yall!!

[themadkiing]

[foolishmortal]

tfw you fix a weird engineering bug

[404daydreams]

"I don't have the time for any other shenanigan to focus on. I start working at 5 AM and end up at no given time. This is how it was always supposed to be here with me. I only focus on growth now, idk and I don't care what's going around. I'm busy here disrupting a very important space and industry."

-Me

[cyle]

i love reading through other platforms' data exports of what they have on me.

for example, Discord's data export has a few big JSON files of "analytics events", that seem to accidentally contain some things that are probably not really analytics events.

there are these fun "prediction" JSON blobs in a different format than the events...

one of them is trying to predict my gender. "predicted_gender: male", over and over. and what's really hilarious is that it logs its estimated accuracy and the timestamp of the attempt. so i can see that in late 2022, discord kept started to try to predict my gender, and it swung from 91% confident i was male to only 71%, and has been doing this prediction process almost daily this year (2023), ranging from ~70% confidence to ~92% confidence.

another is trying to predict my age, and has waffled between "25-34" and "35+" for a year. similarly with a wide range in confidence. makes me wonder what data modeling they're doing to make that prediction...

relatedly, it's always fun to look at the different event names a platform is logging, to get a taste of how granular they're tracking people... here are some fun ones:

start_listening

tooltip_viewed

context_menu_link_opened

keyboard_shortcut_used

premium_upsell_viewed

app_native_crash

jump

remix_surface_exit_modal

nuo_transition

there are over 400 different kinds of events logged in my data dump, and over 419,000 of these events logged. kinda scary!