In Go it’s not uncommon to use code generation to recreate boilerplate code, especially before the introduction of generics. No human looks at this usually. And if they do, they find the code they’re looking for contained in a few files. I personally found this pattern pretty good and easy to reason about.
I know it says no SEO, but you could actually create preview pictures for movies so that when a link gets shared the showtimes show up directly in iMessage or any other messaging platform. Of course only relevant until the showtimes change.
I found that the maximum number of hours I could do something productive was 6 hours while being in college. After this I was able to keep going but with diminishing returns. Nowadays it’s hard for me to find even a 6 hour block (while employed).
The best advice I heard is to treat interviewing like a full time job with lunch break and a defined end.
You may also want to watch some YouTube videos about how other people have installed their own. Mostly they are off-grid, but there are a few grid-tied systems as well. For the grid tied systems I would recommend buying plans like dymk did. A bill of materials and a plan will help a ton.
Based on the kit DYMK showed in his breakdown I think he used SelfSolar:
I originally started with one of those semi-DIY companies (not Unbound, but similar) where they build a site plan, give you a permit packet, and offer to sell you the hardware in a kit, but I found it to be not worthwhile. They mismeasured the roof via poor quality areal photography, and the BOM they came up with was low to midrange hardware with a large markup.
I just rolled it myself and found suppliers for the panels, inverters, racking, did the roof CAD layout & branch structure, and permitting (single line diagrams + some paperwork) myself. Saved a bunch of money and ended up with a nicer install that way.
Sam Altman has said that ChatGPT is break even on compute. Maybe he meant ChatGPT Pro, not sure, but the idea they're bleeding money because of the number of users doesn't seem to be the case.
Obvs that's still a recipe to lose a lot of money on talent, training and other things. But they have a lot of room to increase prices.
Also the idea that a small drop in usage over the summer indicates a problem is nonsensical. Most new products have a big launch spike and then usage collapses! See how Threads usage spiked at launch and then dropped like a stone. If ChatGPT has only lost a bit of traffic over the summer (which is slow time anyway) then they're doing great.
