mcinnes01

blueprint:
  name: IKEA E2490 BILRESA Scroll Wheel (Zigbee2MQTT + ZHA)
  description: |
    Unified controller blueprint for IKEA E2490 BILRESA scroll wheel working with Zigbee2MQTT and ZHA.
    - Buttons: on, off, on_double, off_double
    - Scroll: brightness_move_to_level with action_level from Zigbee2MQTT main topic, or ZHA move_to_level args
    Supports light brightness, media_player volume, light color_temp, light hue.
    Version: 2026-01-18
  domain: automation

dori4n

Office 2024 ISO images

updated 2024-09-20

Version 2409? (Build 16.0.17928.20148)

---

English

mmozeiko

Microsoft Visual C++ 2005 Redistributable Package (x64)

Microsoft Visual C++ 2005 Redistributable Package (x86)

Microsoft Visual C++ 2005 SP1 Redistributable Package (x86)

Microsoft Visual C++ 2005 SP1 Redistributable Package (x64)

Microsoft Visual C++ 2008 Redistributable Package (x64)

kaczmar2

Pi-hole v6: Creating Your Own Self-Signed SSL Certificates

This guide has moved. It is now maintained at github.com/kaczmar2/pihole-ssl-guide, which now fully automates this process with scripts. The manual steps below remain for reference, but are no longer updated here.

See my other guides for SSL certificates on Pi-hole v6:

• Let's Encrypt
• Docker + Let's Encrypt

gangefors

Install TrueNAS SCALE on a partition instead of the full disk

The TrueNAS installer doesn't have a way to use anything less than the full device. This is usually a waste of resources when installing to a modern NVMe which is usually several hundred of GB. TrueNAS SCALE will use only a few GB for its system files so installing to a 16GB partition would be helpful.

The easiest way to solve this is to modify the installer script before starting the installation process.

joonan30

# LLM Wiki — [YOUR FIELD]

A personal knowledge base of [YOUR FIELD] papers, following [Karpathy's LLM Wiki pattern](https://gist.github.com/karpathy/1dd0294ef9567971c1e4348a90d69285):

```
Original PDF → sources/*.md (LLM summary) → wiki/{category}/*.md (final page)
```

**Language policy**: All wiki content is in English. Conversation can be in any language.

karpathy

LLM Wiki

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.

The core idea

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.

ih2502mk

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

aamiaa

Caution

As of April 7th 2026, Discord has expressed their intent to crack down on automating quest completion.

Some users have received the following system message:

There isn't much I can do to make the script undetected, so use it at your own risk, as you most likely WILL get flagged by doing so.

Complete Recent Discord Quest