
Obsidian
Notion
Joplin
Evernote
Anytype.io
Roam Research
Standard Notes
Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base.

Graph
GetBlock.io
AlchemyAPI
Chainstack
Pocket Network
Etherscan
The Graph
Blockchain data across 100+ chains — wallet balances, token prices, transactions, DEX pairs, and more. REST API, real-time WebSocket with OHLCV price feeds. Built for humans and AI agents. From prototype to production in minutes.

Which is more popular?
Based on our record, Logseq seems to be a lot more popular than GoldRush.dev. While we know about 300 links to Logseq, we've tracked only 1 mention of GoldRush.dev.
Website, pricing, platforms and company facts side by side.
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| Website | logseq.com | goldrush.dev |
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| Company | Startup from the United States | — |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Logseq - A Roam Research Alternative for Notes / PKM / To Do / Journal
More videos
No GoldRush.dev videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Logseq and GoldRush.dev. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Logseq is a powerful and advanced tool for thought that has been gaining attention among note-taking enthusiasts and productivity seekers. In this article, we will provide an overview of Logseq, explore what users can...
Outliners (think Workflowy, Roam, Logseq) rely on blocks and indentation for primary connections, and references to other blocks or pages for richer links. They’re optimized for capturing quick thinking.
Refined user interface: Logseq offers a refined user interface that is easy to understand and pleasing to the eyes. On the other hand, Obsidian looks like a jumble of various UI elements which are hard to figure out...
We have no reviews of GoldRush.dev yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Using Logseq[1][2] for years and quite happy with it, especially since it has apps for tablets/iPad and phones as well, while being completely FOSS. [1] https://logseq.com/ [2] https://github.com/logseq/logseq. - Source: Hacker News / 4 months ago
Choose a local Markdown tool like Obsidian, Logseq, Foam, or Tolaria to store all your knowledge as plain .md files you own and control. - Source: dev.to / 6 months ago
I should call out another thing that convinced me was a user of forgetful (twsta) posted in the discord a skill for managing wok and todos from how they used to use Logseq. - Source: dev.to / 8 months ago
GoldRush (powered by Covalent) provides structured blockchain data across 100+ chains through a unified API. They recently shipped an MCP (Model Context Protocol) server that exposes 27+ blockchain data tools to any MCP-compatible AI agent. - Source: dev.to / 7 months ago
When comparing Logseq and GoldRush.dev, you can also consider the following products.

A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.
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Graph is an open source application used to draw mathematical graphs in a coordinate system.
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All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
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GetBlock provides developers with instant connection to full nodes of 40+ blockchains. Get access to BTC, ETH, BSC & other networks via API.
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Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.
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AlchemyAPI helps developers and businesses build cognitive applications through text analysis and deep learning.
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