hode

rslt, take five-ish

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4Distinct people

15Mentions

0Explicit recommenders

151GitHub stars

REPOSITORY AT A GLANCE

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What it is

rslt, take five-ish

GitHub

Where it is used

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This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 11:34:28 AM UTC.

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Mentions over time

HN mentions by year15 dated mentions

Observed mentions: 2019-04-06 13:29:47 UTC to 2022-07-30 04:23:22 UTC.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

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Period	Start (UTC)	End (exclusive, UTC)	Mentions	Submissions	Comments
2019	2019-01-01 00:00:00 UTC	2020-01-01 00:00:00 UTC	6	1	5
2020	2020-01-01 00:00:00 UTC	2021-01-01 00:00:00 UTC	3	0	3
2021	2021-01-01 00:00:00 UTC	2022-01-01 00:00:00 UTC	4	1	3
2022	2022-01-01 00:00:00 UTC	2023-01-01 00:00:00 UTC	2	0	2

What Hacker News says

4 sources

ifethereal·Nov 7, 2021

One example of a data structure implementing faceted classification would be the multitree [0]. Unfortunately multitrees seem to receive far less support than 2 other data structures it intermediates: trees and DAGs. k-d trees [1] are close but use cases seem to predominantly target data with inherently ordinal (rather than nominal) dimensions. Further abstraction could lead to the knowledge graph [2] or graph databases. In all cases, the availability of "low-code" tools (in the domain of single-user personal information management, at least) seems sparse. I have been looking for some time, but the search continues. [0]: https://en.wikipedia.org/wiki/Multitree [1]: https://en.wikipedia.org/wiki/K-d_tree [2]: https://github.com/JeffreyBenjaminBrown/hode

In Designing better file organization around tags, not hierarchies (2017)

Jeff_Brown·Jul 1, 2021

I wrote a language that's very close to natural language for writing to and querying a RSLT, a kind of higher order graph. https://github.com/JeffreyBenjaminBrown/hode/blob/master/doc...

In PathQuery, Google's Graph Query Language

Jeff_Brown·Jun 23, 2021Submission

Ask HN: Who funds important tech with no business plan?

I know there are people with money who want to save the world. I think a higher-order knowledge base like Hode[1] could be useful in search, in AI, and in social networking. But I have no idea how to monetize it. It's more of a science project than a business. Am I out of luck until I do have such idea? [1] https://github.com/JeffreyBenjaminBrown/hode

4 points · Open discussion

Jeff_Brown·Jun 17, 2021

I believe the most important question regarding personal knowledge bases is how to make them social. In grad school I was for a year part of a small study group. We shared notes, on paper and aloud. It made each of us far, far better at the subject than we could have been on our own. And we were at most 7 people (sometimes only 3). When developing Hode[1], and when helping develop Semantic Synchrony[2], I imagined some kind of mind-meld utopia where superbeings would not just frolic in but also tend each others' knowledge gardens. (Brandon Toner on Twitter[3] even introduced me to a hashtag for them ... which I can't remember ...) Reading nonlinearly is a faster way to accumulate knowledge than reading linearly. That's is why people who really care prefer newspapers to watching the news on TV. And a format that lets lots of people contrib

Read the rest

ute their input can potentially convey more than a format that locks you into reading a single author. Alas, the potential for noise is higher too -- but still, this is why Wikipedia has been so wildly successful. One might ask, "We've already got Wikipedia; what possible improvement on that do you see?" The thing about Wikipedia is it presents what the author(s) consider(s) settled knowledge. It is a place for record, not a place for debate. A good shared knowledge base would by contrast also resemble Twitter -- but more organized, more navigable. In practice the personal knowledge bases I've seen look much more like silos. I once frolicked for an afternoon through Andy Matuschak's[4], which was quite enjoyable. But it was mostly about ... can you guess? ... how to build a knowledge base. If someone finds a scheme that scales, I believe it could be much more powerful than what we currently call AI. [1] https://github.com/JeffreyBenjaminBrown/hode [2] https://github.com/synchrony/smsn/ [3] https://twitter.com/brandontoner [4] https://notes.andymatuschak.org/Knowledge_work_should_accret...

In Note Taking in 2021