| height: 960 |
| // Test Habit Tracker - Full Year Edition | |
| // Tap the widget to select which day(s) to mark! | |
| // ============= CONFIGURATION ============= | |
| const HABIT_NAME = "test"; | |
| const WIDGET_BG_COLOR = new Color("#242424"); // Dark gray | |
| const DOT_COMPLETE_COLOR = new Color("#FFB89A"); // Pastel orange for completed | |
| const DOT_INCOMPLETE_COLOR = new Color("#3A3A3A"); // Darker gray for incomplete | |
| const TEXT_COLOR = Color.white(); | |
| const BUTTON_BG = new Color("#FF9A76"); // Slightly darker orange for buttons |
A reverse-engineered system design of Netflix's web application, built entirely from live network traffic analysis of the authenticated browse experience. 177 requests captured, every API contract inspected, every subsystem named.
┌─────────────────────────────────────────────────────────────────────────────┐
│ BROWSER (Akira SPA) │
│ │
| #!/usr/bin/env bash | |
| #/ pr-artifact — attach images & videos to a pull request without committing binaries. | |
| #/ | |
| #/ HOW IT WORKS | |
| #/ Screenshots, screen recordings and diagrams don't belong in git history — they | |
| #/ bloat every clone, forever. But GitHub *release assets* live outside the git tree: | |
| #/ they're blob storage hung off a tag, not commits. This script uploads your media | |
| #/ as release assets and hands back a stable | |
| #/ https://github.com/<owner>/<repo>/releases/download/<tag>/<file> | |
| #/ URL you can paste straight into a PR description or comment. |
Deprecated. See https://rotomata.mygod.be/fp/
Ivysaur, Butterfree, Ekans, Arbok, Pikachu, Raichu, Raichu-Alola, Nidoran♂, Gloom, Paras, Parasect, Venonat, Diglett, Diglett-Alola, Dugtrio, Dugtrio-Normal, Dugtrio-Alola, Growlithe-Hisuian, Doduo, Dodrio, Gengar, Onix, Drowzee, Hypno, Electrode, Electrode-Hisuian, Exeggcute, Marowak, Starmie, Omanyte, Kabutops, Snorlax, Bayleef, Feraligatr, Sentret, Furret, Hoothoot, Crobat, Togepi, Hoppip, Murkrow, Misdreavus, Snubbull, Teddiursa, Remoraid, Porygon2, Tyrogue, Combusken, Poochyena, Beautifly, Dustox, Lombre, Swellow, Pelipper, Shroomish, Breloom, Slakoth, Nincada, Lairon, Medicham, Plusle, Minun, Numel, Spoink, Spinda, Whiscash, Claydol, Kecleon, Tropius, Walrein, Clamperl, Metang, Piplup, Staraptor, Luxio, Roserade, Cranidos, Bastiodon, Wormadam, Wormadam-Trash, Pachirisu, Floatzel, Mismagius, Skuntank, Bronzong, Munchlax, Snover, Lickilicky, Togekiss, Mamoswine, Porygon Z, Probopass, Servine, Embo
This is an outline of how I'd explain hash to a novice programmer. I've given versions of this explanation hundreds of times to thousands of students, beginners and experts alike.
Students tell me they find it compelling because it helps them connect w/ what's really going on by emphasizing both the technical and human/design elements.
I'm assuming the student is comfortable with:
| #!/bin/sh | |
| mkdir -p /usr/data/home/pwned | |
| echo 'pwned:$1$Z8nL7oiO$szyo3IN6J1fuTM1zQ9Nw7.:0:0::/usr/data/home/pwned:/bin/sh' >> /etc/passwd | |
| exit 0 |
| Meta (Instagram, Facebook) | |
| // Узлы | |
| 157.240.253.174, 157.240.253.172, 157.240.253.167, 157.240.253.63, 157.240.253.32 | |
| 157.240.252.174, 157.240.252.172, 157.240.252.167, 157.240.252.63, 157.240.252.38 | |
| 57.144.112.34, 57.144.110.1, 157.240.205.174, 87.245.223.97 | |
| // Подсети | |
| 213.102.128.0/24 | |
| 204.15.20.0/22 | |
| 199.201.0.0/16 |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
