Roam

A drawing repository.

https://github.com/abaj8494/draw

http://draw.abaj.ai

A jobs repository.

https://github.com/abaj8494/jobs-dashboard

On MacOS, docker runs within a Linux Virtual Environment. As such, running Ollama becomes difficult because we cannot access GPU the way that it is possible to do so on Linux machines with AMD and Nvidia GPUs

A fork of this repo: https://github.com/Gsync/jobsync.git

Updated to include automatic Job Application insertion from Notmuch Emacs email client.

EXPORT html <a href="https://github.com/abaj8494/jobsync"> <img src=" =" alt=“jobsync” /> </a> #+END_EXPORT

Original Functionality#

db is stored at `./prisma/dev.db`

it can be queried with sqlite3:

• sqlite3 prisma/dev.db
• .tables # List tables

SELECT id, subject, classification, status, confidence FROM EmailImport LIMIT 10;

.mode column
.headers on
SELECT subject, classification, confidence FROM EmailImport WHERE status='pending' LIMIT 5;

Org-table based shopping list management with:

• Mark items in shop files (C-c d m)
• Generate shopping lists (C-c d g)
• Sync prices back with history tracking (C-c d s)
• Clear marks (C-c d c)

new functionality:#

• 1. add |--| bars on the ** history sub-heading.
• 2. back-sync notes column.
• fix horizontal bar placement on <shop>.org
• check if bound to second level ** regular

shortcuts#

that I always forget:

C-c C-x f

create footnote

org-download#

org-download - drag/drop images into org:

• C-c d y - yank image from kill ring
• C-c d s - take screenshot and insert
• C-c d c - paste from clipboard
• Images saved to images/ subdirectory relative to org file

A globe visualisation project.

https://github.com/abaj8494/globe

Archived repository.

Hybrid Minesweeper AI: constraint propagation + neural network for optimal play.

https://github.com/abaj8494/minesweeper

An Org Mode app for iOS and Android. Fork of the original Orgro project for mobile org-mode file viewing.

https://github.com/abaj8494/orgro

Archived repository.

Neural network peg solitaire solver - an experiment in applying ML to deterministic puzzles (spoiler: DFS is better).

https://github.com/abaj8494/peg-solitaire