Digital Gardening in Obsidian

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • quickadd

    Parse natural language time and date expressions in python (by Acreom)

  • if you’re using calendar and tasks i recommend checking out https://acreom.com/.

    (disclaimer: i’m one of the makers)

  • logseq

    A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.

  • If you like that, I also recommend taking a look at Logseq[0].

    I've previously been using Obsidian and Bear before that, but always structured my notes add increasingly nested lists of bullet points. Logseq is basically built around that abstraction, to make it very ergonomic (with each bullet point being a "block" - the smallest unit of text on which Logseq operates).

    It also has querying built-in and the core is fully open source.

    [0]: https://logseq.com/

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • obsidian-markmind

    A mind map, outline for obsidian,It support mobile and desktop

  • flowchart-fun

    Easily generate flowcharts and diagrams from text ⿻

  • Also, some cool new outliner/mindmap tools are flowchart.fun[0] and obsidian markmind plug-in[1].

    Personally, I find it easier to initially think visually and then just later convert it to nested-bullet points.

    [0] https://flowchart.fun/

  • markwhen

    Make a cascading timeline from markdown-like text. Supports simple American/European date styles, ISO8601, images, links, locations, and more.

  • See also: https://markwhen.com

    In a similar vein except for plotting events that I've been working on

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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