4 ms·

Can you walk me through what a typical search day is like for you? To me, the 700 soft limit seems absurd so I'm curious to hear how you interact with the prod

Can you walk me through what a typical search day is like for you? To me, the 700 soft limit seems absurd so I'm curious to hear how you interact with the product. I average 50-100 searches per work day and 10-20 searcher per off day (totalling 1-2.5k per month). But I don't feel I'm using search in a particularly strange way. For example, if I need to know how the new WidgetBean in SpringBoot works I'll usually end up making ~10 queries related to it before I move on to a new area of research. E.g., I'll search "SpringBoot WidgetBean release notes" then "SpringBoot WidgetBean examples" or "WidgetBean test double", "WidgetBean in MockMvc test", "WidgetBean PowerMock known issues in MockMvc test", "WidgetBean FooService interation in MockMvc test SpringBoot 3". Essentially, when I'm searching I go wide to survey the information landscape, then refine my search term as I discover what I actually need to know This quickly balloons as I'm expected to know many things at $dayjob :) What does it look like when you search?

eitland 3y ago
I'll try to get back with some numbers later today.
- eitland 3y ago
  This month, sorry for the crazy date formatting, I copied it from the Kagi UI: Date (UTC) Searches Apr 28, 2023 23 Apr 27, 2023 11 Apr 26, 2023 24 Apr 25, 2023 4 Apr 24, 2023 18 Apr 23, 2023 7 Apr 22, 2023 1 Apr 21, 2023 6 Apr 20, 2023 7 Apr 19, 2023 10 Apr 17, 2023 18 Apr 16, 2023 1 Apr 15, 2023 14 Apr 14, 2023 22 Apr 13, 2023 7 Apr 12, 2023 18 Apr 11, 2023 11 Apr 10, 2023 13 Apr 9, 2023 4 Apr 8, 2023 15 Apr 7, 2023 7 Apr 6, 2023 6 Apr 5, 2023 7 Apr 4, 2023 12 Apr 3, 2023 19 Apr 2, 2023 11 Apr 1, 2023 15 The last few months: (UTC) Searches Apr 2023 311 Mar 2023 495 Feb 2023 313 Jan 2023 434 Dec 2022 386 Nov 2022 396 Oct 2022 425 How I search: I typically start with one of the same type of queries as you did above, then I open every interesting-looking page from the first query in a nested tab (I use tree style tabs in my "research" browser) and start reading them, ctrl-clicking again to open interesting links in new tabs nested in a new level beneath, closing pages that was clearly useless and bookmarking in raindrop if I immediately sense that the oage I am on is something I will need again. Once I have exhausted this tree, at least temporarily, I start a new search - like you do - in a new top level tab anf create a new tree from it.

eitland 3y ago

I'll try to get back with some numbers later today.

eitland 3y ago
This month, sorry for the crazy date formatting, I copied it from the Kagi UI: Date (UTC) Searches Apr 28, 2023 23 Apr 27, 2023 11 Apr 26, 2023 24 Apr 25, 2023 4 Apr 24, 2023 18 Apr 23, 2023 7 Apr 22, 2023 1 Apr 21, 2023 6 Apr 20, 2023 7 Apr 19, 2023 10 Apr 17, 2023 18 Apr 16, 2023 1 Apr 15, 2023 14 Apr 14, 2023 22 Apr 13, 2023 7 Apr 12, 2023 18 Apr 11, 2023 11 Apr 10, 2023 13 Apr 9, 2023 4 Apr 8, 2023 15 Apr 7, 2023 7 Apr 6, 2023 6 Apr 5, 2023 7 Apr 4, 2023 12 Apr 3, 2023 19 Apr 2, 2023 11 Apr 1, 2023 15 The last few months: (UTC) Searches Apr 2023 311 Mar 2023 495 Feb 2023 313 Jan 2023 434 Dec 2022 386 Nov 2022 396 Oct 2022 425 How I search: I typically start with one of the same type of queries as you did above, then I open every interesting-looking page from the first query in a nested tab (I use tree style tabs in my "research" browser) and start reading them, ctrl-clicking again to open interesting links in new tabs nested in a new level beneath, closing pages that was clearly useless and bookmarking in raindrop if I immediately sense that the oage I am on is something I will need again. Once I have exhausted this tree, at least temporarily, I start a new search - like you do - in a new top level tab anf create a new tree from it.