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Show HN: Obsidian Workflows with Gemini: Inbox Processing and Task Review

https://gist.github.com/juanpabloaj/59bc13fbed8a0f8e87791a3fb0360c19
15•juanpabloaj•2w ago

Comments

juanpabloaj•2w ago
Inbox Processing Workflow - GTD-style system to keep your inbox at zero, with AI classification of notes to projects, resources, or someday/maybe lists.

Incomplete Tasks Review Workflow - weekly review that analyzes your tasks, identifies gaps, detects duplicates, and generates a focused "plan of attack" with your highest-priority actions.

Both workflows combine classic productivity principles (GTD, weekly reviews) with AI assistance to reduce cognitive load and maintain system trust. They use command-line tools (find, ripgrep) to analyze your vault and generate processing recommendations in an easy-to-review card format.

Use at your own risk. Validate each command before executing it. It is strongly recommended to use a version control system (Git) in your Obsidian vault to visualize and revert changes made by the agent.

Any suggestions to improve these workflows are appreciated.

treetalker•2w ago
I'd enjoy seeing a video of this being used in the intended way and to good effect (because I'm confident that my conception of how it works is inaccurate).
maurelius2•2w ago
Thanks for sharing! Easy to follow instructions.

I can see the PARA structure and perhaps a bit of Zettelkasten in the peripheral (but that might be my own bias).

I'm using a similar system (here's a link) https://blog.hampusadamsson.com/blog/How%20I%20Manage%20Note...

And also a custom plugin to do parts of the LLM (here's another shameless link) lifting: https://github.com/hampusadamsson/modai

maurelius2•2w ago
(I missed adding my question and now I don'tknow how to edit my previous reply)

What I'm curious about and something I'm struggling with myself: are you feeling that the productive uplift of offloading work to an LLM limits the gain of managing a second brain like this?

juanpabloaj•2w ago
I'm not sure if I am understanding your question,

Is it something like: if we delegate management, we could lose awareness of the knowledge contained in the notes?

juanpabloaj•2w ago
If that is the question,

I agree, the LLM support we lose some level of manual work, maybe that is useful to be more familiar with the information, although I am not sure if that is a critical step. The LLM gives us management support. We can use a command to collect incomplete tasks, the LLM is doing that with extra steps, and it shows us the collected information, but in the end, we decide which tasks to prioritize.

Lightweight and extensible compatibility layer between dataframe libraries

https://narwhals-dev.github.io/narwhals/
1•kermatt•2m ago•0 comments

Haskell for all: Beyond agentic coding

https://haskellforall.com/2026/02/beyond-agentic-coding
2•RebelPotato•6m ago•0 comments

Dorsey's Block cutting up to 10% of staff

https://www.reuters.com/business/dorseys-block-cutting-up-10-staff-bloomberg-news-reports-2026-02...
1•dev_tty01•8m ago•0 comments

Show HN: Freenet Lives – Real-Time Decentralized Apps at Scale [video]

https://www.youtube.com/watch?v=3SxNBz1VTE0
1•sanity•10m ago•1 comments

In the AI age, 'slow and steady' doesn't win

https://www.semafor.com/article/01/30/2026/in-the-ai-age-slow-and-steady-is-on-the-outs
1•mooreds•17m ago•1 comments

Administration won't let student deported to Honduras return

https://www.reuters.com/world/us/trump-administration-wont-let-student-deported-honduras-return-2...
1•petethomas•17m ago•0 comments

How were the NIST ECDSA curve parameters generated? (2023)

https://saweis.net/posts/nist-curve-seed-origins.html
2•mooreds•18m ago•0 comments

AI, networks and Mechanical Turks (2025)

https://www.ben-evans.com/benedictevans/2025/11/23/ai-networks-and-mechanical-turks
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https://www.youtube.com/watch?v=1UKVEUGEk6Y
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Show HN: I Built a Free AI LinkedIn Carousel Generator

https://carousel-ai.intellisell.ai/
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Implementing Auto Tiling with Just 5 Tiles

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1•todsacerdoti•23m ago•0 comments

Open Challange (Get all Universities involved

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Apple Tried to Tamper Proof AirTag 2 Speakers – I Broke It [video]

https://www.youtube.com/watch?v=QLK6ixQpQsQ
2•gnabgib•26m ago•0 comments

Show HN: Isolating AI-generated code from human code | Vibe as a Code

https://www.npmjs.com/package/@gace/vaac
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Show HN: More beautiful and usable Hacker News

https://twitter.com/shivamhwp/status/2020125417995436090
3•shivamhwp•28m ago•0 comments

Toledo Derailment Rescue [video]

https://www.youtube.com/watch?v=wPHh5yHxkfU
1•samsolomon•30m ago•0 comments

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8•geox•33m ago•0 comments

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https://github.com/localgpt-app/localgpt
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A Bid-Based NFT Advertising Grid

https://bidsabillion.com/
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AI readability score for your documentation

https://docsalot.dev/tools/docsagent-score
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NASA Study: Non-Biologic Processes Don't Explain Mars Organics

https://science.nasa.gov/blogs/science-news/2026/02/06/nasa-study-non-biologic-processes-dont-ful...
2•bediger4000•48m ago•2 comments

I inhaled traffic fumes to find out where air pollution goes in my body

https://www.bbc.com/news/articles/c74w48d8epgo
2•dabinat•49m ago•0 comments

X said it would give $1M to a user who had previously shared racist posts

https://www.nbcnews.com/tech/internet/x-pays-1-million-prize-creator-history-racist-posts-rcna257768
6•doener•51m ago•1 comments

155M US land parcel boundaries

https://www.kaggle.com/datasets/landrecordsus/us-parcel-layer
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Private Inference

https://confer.to/blog/2026/01/private-inference/
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Font Rendering from First Principles

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2•PaulHoule•1h ago•0 comments

Rewriting Pycparser with the Help of an LLM

https://eli.thegreenplace.net/2026/rewriting-pycparser-with-the-help-of-an-llm/
2•y1n0•1h ago•0 comments

Lobsters Vibecoding Challenge

https://gist.github.com/MostAwesomeDude/bb8cbfd005a33f5dd262d1f20a63a693
2•tolerance•1h ago•0 comments