Run brew bundle dump --all --verbose --file=- | pbcopy
tap "coder/coder"
tap "homebrew/bundle"
tap "homebrew/services"
tap "koekeishiya/formulae"
tap "olets/tap"
tap "rfidresearchgroup/proxmark3"
tap "stripe/stripe-cli"
copy all mac apps list | |
``` | |
#!/bin/zsh | |
# Basic setup | |
setopt ERR_EXIT | |
TIMESTAMP=$(date +'%Y%m%d_%H%M%S') | |
OUTPUT_FILE="${HOME}/Desktop/mac-apps_${TIMESTAMP}.txt" |
brew "act" | |
brew "actionlint" | |
brew "aider" | |
brew "angle-grinder" | |
brew "ast-grep" | |
brew "atuin" | |
brew "awscli-local" | |
brew "bat" | |
brew "biome" | |
brew "bitwarden-cli" |
Run brew bundle dump --all --verbose --file=- | pbcopy
tap "coder/coder"
tap "homebrew/bundle"
tap "homebrew/services"
tap "koekeishiya/formulae"
tap "olets/tap"
tap "rfidresearchgroup/proxmark3"
tap "stripe/stripe-cli"
Tagline: "Secure AI for Healthcare: Where Privacy Meets Intelligence" (More memorable and emphasizes both security and healthcare focus)
Elevator Pitch: Our enterprise platform, HealthGuardAI, revolutionizes healthcare communication by providing a HIPAA-compliant environment for managing and deploying AI solutions. We combine military-grade encryption with healthcare-specific LLM fine-tuning to enable secure, intelligent automation while ensuring zero data leakage. Our solution reduces administrative overhead by 60% while maintaining complete regulatory compliance and auditability.
Market Opportunity:
# general settings | |
auto-reload yes | |
max-items 500 | |
show-read-feeds no | |
text-width 50 | |
reload-threads 11 | |
# set browser for osx | |
browser /usr/bin/open -a "/Applications/Brave Browser.app" '%u' |
Preferences | Appearance | Tabs | Theme > Dark
dstr > ttf
, install all font files by double clicking)Preferences | Profiles | Text
Font
to 14pt Fira code regular
and Check Use Ligatures
checkboxNon ASCII Font
to 14pt Fira mono
and Check Use Ligatures
checkboxPreferences | Profiles | Color Presets > Snazzy
node: Platform built on V8 to build network applications | |
git: Distributed revision control system | |
wget: Internet file retriever | |
yarn: JavaScript package manager | |
python3: Interpreted, interactive, object-oriented programming language | |
coreutils: GNU File, Shell, and Text utilities | |
pkg-config: Manage compile and link flags for libraries | |
chromedriver: Tool for automated testing of webapps across many browsers | |
awscli: Official Amazon AWS command-line interface | |
automake: Tool for generating GNU Standards-compliant Makefiles |
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |