
React Boilerplate
Boilrplate
ExpressJS
Nest.js
Static Site Boilerplate
Hasura
Adonis JS
A boilerplate for Node.js web applications.

Mockaroo
Smock-it
Replica
Data Creator
Generate Data
MockDataGenerator
Generate realistic Salesforce test data with proper relationships and record types in minutes! Direct upload to sandboxes—no CSV wrangling, no production data risks.

Which is more popular?
Based on our record, Hackathon Starter seems to be more popular. It has been mentioned 15 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | universaldatagenerator.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Hackathon Starter yet.
Universal Data Generator creates realistic test data directly in your Salesforce sandbox. Connect via OAuth, select objects, and generate records with proper parent-child relationships - no CSV exports or Data Loader required. Easy! Fast! Done! Key features: - Salesforce integration via OAuth 2.0...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


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Universal Data Generator
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Hackathon Starter and Universal Data Generator.
Universal Data Generator's answer:
UDG is the only test data generator that combines three critical features: direct Salesforce OAuth integration, automatic parent-child record relationships, and schema awareness - all through a no-code web interface. Unlike generic tools that export CSV files, UDG reads your org's metadata (custom objects, record types, picklist values) and creates records directly in your sandbox with proper referential integrity. You select objects, set record counts, and click generate - no Data Loader, no field mapping, no CSV gymnastics.
Universal Data Generator's answer:
UDG vs Mockaroo: Mockaroo is NOT Salesforce specific! It exports CSV files that you then have to load into Salesforce manually. UDG connects directly via OAuth and creates records with linked relationships - no intermediate steps.
UDG vs Snowfakery: Snowfakery requires Python, CLI knowledge, and YAML configuration files. UDG offers the same Salesforce-native benefits through a simple web UI that any admin can use.
USG vs Smock-it: UDG works instantly in any browser. Salesforce CLI, Node.js, and plugin installation needed - just sign up and connect your org. UDG reads your org's metadata automatically - just select objects and click generate. No JSON files needed. UDG automatically detects your custom objects, record types, and picklist values via OAuth. Smock-it requires manual template setup or using the promptify command. UDG automatically detects your custom objects, record types, and picklist values via OAuth. No manual template setup or using the promptify command needed.
UDG vs Data Loader: Data Loader requires you to prepare CSV files, map fields manually, and manage parent-child ID relationships yourself. UDG handles all of this automatically.
Universal Data Generator's answer:
Salesforce professionals who need realistic test data without the technical overhead, fast! - Salesforce Admins populating sandboxes after refresh for testing or training - Salesforce Developers who need data for feature development and QA - Consultants preparing demo environments for client presentations - QA Teams building comprehensive test scenarios with related records The common thread: people who are tired of spending hours manually creating test records or wrestling with CSV files and Data Loader.
Universal Data Generator's answer:
UDG was built by a Salesforce consultant with 10+ years of experience who lived this problem daily. Every sandbox refresh meant hours of tedious work: manually creating Accounts, then Contacts, then Opportunities - or worse, preparing CSV files, mapping fields in Data Loader, and managing ID relationships across multiple imports. Existing tools either required coding skills (Snowfakery), exported to CSV instead of loading directly (Mockaroo), or were expensive AppExchange packages. There was no simple, affordable solution that just worked. UDG was built to solve that specific pain point: connect your sandbox, pick your objects, click generate, done. What used to take hours now takes minutes.
Universal Data Generator's answer:
Share your experience with using Hackathon Starter and Universal Data Generator. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Recently, I took on an interesting open-source issue — writing end-to-end (E2E) tests for the Google Maps integration in the sahat/hackathon-starter project. What seemed like a simple task turned out to be full of unexpected technical... - Source: dev.to / about 1 year ago
Crawly is an Express app built on the bones of hackathon-starter, a boilerplate package for Node apps. Surprisingly, this project is still alive and well maintained in 2024. But there's no guarantee that the project still uses the same... - Source: dev.to / about 2 years ago
Well, I've never attended a Hackerthon before and have no prior knowledge of what it looks like. But I happen to come across a guide that we'll help me start up when the time comes. The Hackerthon starter will help you set up a NodeJS... - Source: dev.to / about 3 years ago
Tracking Universal Data Generator since Jan 2026.
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