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It's already kind of like that for me, in that almost all of my searches fall into these categories:

- Wikipedia

- Online documentation for whatever language/framework/tool I'm using

- Stack Overflow / Stack Exchange for most technical questions

- Reddit if SO/SE doesn't work, and for opinionated questions (e.g. r/BuyItForLife)

- Hacker news for software recommendations and technical opinionated questions

- Arxiv or the ACM library if it's a research paper (99% of the time, whenever I google something niche the only relevant results are papers)

- Other sites like caniuse.com, university sites for health and nutritional info, old-style forums for specific software

For these searches I'm just using Google to bring me to the specific site I want, because it's faster than using the site's own search functionality. Then there are the times I literally just type in the website instead of the URL bar (e.g. "instacart"), or when I use Google maps, images, or reviews.

I'm always wary when Google returns an unfamiliar site because I'm skeptical of the results. ~70% of the time it's some blogspam which is at best accurate but overly wordy, and at worst inaccurate; sometimes it's a blog from some random individual who for whatever reason went into a deep dive trying to understand what I'm searching for, that actually turns out to be useful; the rest, idk.




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