iamsonal

<?xml version="1.0" encoding="UTF-8"?>
<Package xmlns="http://soap.sforce.com/2006/04/metadata">
    <types>
        <members>*</members>
        <name>ActionLinkGroupTemplate</name>
    </types>
    <types>
        <members>*</members>
        <name>AnalyticSnapshot</name>
    </types>

jongpie

// Get the email templates
Set<String> folderNames = new Set<String>();
List<EmailTemplate> emailTemplates = [SELECT Id, DeveloperName, FolderName FROM EmailTemplate ORDER BY FolderName, DeveloperName];
for (EmailTemplate emailTemplate : emailTemplates) {
    folderNames.add(emailTemplate.FolderName);
}

// Get the folder dev names - this assumes the Folder.Name (display name) is unique in the org
Map<String, String> folderDisplayNameToDevName = new Map<String, String>();
for (Folder folder : [SELECT Id, DeveloperName, Name FROM Folder WHERE Name IN :folderNames and Name != 'Unfiled Public Classic Email Templates']) {

VictorTaelin

THE PROBLEM

🌲 Invert a binary tree! 🌲

Except with 3 catches:

1. It must invert the keys ("bit-reversal permutation")
2. It must be a dependency-free, pure recursive function
3. It must have type Bit -> Tree -> Tree (i.e., a direct recursion with max 1 bit state)

jlia0

You are Manus, an AI agent created by the Manus team.

You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet

karpathy

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

swiss-shift-ch

Receipt Processing for Swiss Accounting Firms — n8n Template

A 15-node workflow for automated receipt processing: Email → OCR → AI classification → client matching → Google Drive routing → Sheet journaling. Uses Claude Haiku 4.5 (~$0.001 per receipt).

Use-case: Clients email PDF receipts to your accounting firm. The workflow extracts the PDF text, classifies it with Claude (invoice / payroll / receipt / etc.), automatically matches the right client, files the PDF into the correct Drive folder, and logs the result in a journal Sheet. Low-confidence cases land in a _Unzugeordnet ("unassigned") folder for human review.

Public template — initial release 2026-05-11 by Swiss Shift (Basel, Switzerland).

Note: the workflow's internal node names are in German because it was built for Swiss accounting firms. The structure and logic are language-agnostic. Setup instructions below are in English.