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From Notes to a Second Brain: Flowith 2.0 Knowledge Base Review and Reflections

Knowledge flow should be this effortless. Don’t you think so?

Shuyi Wang
29 min readJan 11, 2025

Pain Points

In my daily knowledge work, I’ve always wanted to make recording and outputting information simpler. In short, my goal is to reap the benefits of the Zettelkasten method without spending too much time organizing notes. Over the years, I’ve experimented with various note-taking apps. As I mentioned before:

As a lazy person, I’ve always hoped that processing and outputting knowledge could become easier. Over the years, I’ve tried various note-taking tools, including Evernote, Notion, Obsidian, Logseq, Roam Research, and Heptabase, all in the hope of effortless recording, precise recall, and smooth output.

However, these tools still didn’t feel effortless enough for me. Before AI, I had to manually tag or link information to retrieve it later. This extra burden didn’t actually reduce my workload. I’ve also expressed my genuine expectations in an article:

…to record things at any time without worrying about organizing them. When I need to access my knowledge reserves, I just need a simple natural language query. The AI would then search through my notes, find relevant records based on

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Shuyi Wang
Shuyi Wang

Written by Shuyi Wang

PhD in Information Science. Associate Professor at Tianjin Normal University. Former Adjunct Faculty at UNT. First Prize Winner of HackNTX 2018.

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