techjewel

// Event on form submission success
// You can paste this script to Form's custom JS Box
$form.on('fluentform_submission_success', function() {
   // You can run your own JS and will be run on successful form submission
});

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.

oconnor663

EDIT from 2019: Hi folks. I wrote this gist for myself and some friends, and it seems like it's gotten posted somewhere that's generated some (ahem, heated) discussion. The whitespace was correct when it was posted, and since then GitHub changed how it formats <pre> tags. Look at the raw text if you care about this. I'm sure someone could tell me how to fix it, but (thank you @anzdaddy for suggesting a formatting workaround) honestly this is a random throwaway gist from 2015, and someone more knowledgable about this comparison should just write a proper blog post about it. If you comment here I'll hopefully see it and stick a link to it up here. Cheers. @oconnor663

Here's the canonical TOML example from the TOML README, and a YAML version of the same.

title = "TOML Example"

Fuwn

Although Microsoft no longer supports Windows XP updates, I'm sure many users still use it due to personal habits or job demands. Therefore, XP's product keys may still be necessary. Here lies the most comprehensive list of Windows XP product keys.

The following CD keys are official and original from Microsoft, primarily used for Windows XP Professional Service Pack 2/3 VOL/VLK system images, which are among the easiest to find on the Internet.

Windows XP Professional 32-bit Edition

CHSuworatrai

VMware vSphere 6 Enterprise Plus	
1C20K-4Z214-H84U1-T92EP-92838
1A2JU-DEH12-48460-CT956-AC84D
MC28R-4L006-484D1-VV8NK-C7R58
5C6TK-4C39J-48E00-PH0XH-828Q4
4A4X0-69HE3-M8548-6L1QK-1Y240

VMware vSphere with Operations Management 6 Enterprise	
4Y2NU-4Z301-085C8-M18EP-2K8M8
1Y48R-0EJEK-084R0-GK9XM-23R52

kymckay

--[[
    Implemented as described here:
    http://flafla2.github.io/2014/08/09/perlinnoise.html
]]--

perlin = {}
perlin.p = {}

-- Hash lookup table as defined by Ken Perlin
-- This is a randomly arranged array of all numbers from 0-255 inclusive

jweinst1

>>> from alpaca.data.requests import OptionBarsRequest
>>> from alpaca.data.timeframe import TimeFrame
>>> bars_request = OptionBarsRequest(symbol_or_symbols='QQQ260702C00750000', timeframe=TimeFrame.Day)
>>> bars = client.get_option_bars(bars_request)
>>> bars
{'data': {}}
>>> from datetime import datetime
>>> bars_request = OptionBarsRequest(symbol_or_symbols='QQQ260702C00750000', timeframe=TimeFrame.Day, start=datetime(2026, 6, 1), end=datetime(2026, 6, 5))
>>> bars = client.get_option_bars(bars_request)
>>> bars

oriSomething

import { useSyncExternalStore, useCallback } from "react";

/**
 * Use for getting the value of given `key` in `localStorage`, or setting it.
 *
 * @param key - `localStorage` key we want to get its value, or change it
 * @example
 *
 * ```tsx
 * const [hello, setHello] = useLocalStorageKey("hello");

EverythingSmartHome

{{ states.binary_sensor
   | selectattr('attributes.device_class', 'in', ['door','window'])
   | selectattr('state', 'equalto', 'on')
   | list | count }}