Overview
Introduction
Sometimes you need more than one random pick — a shortlist of names for a raffle's second round, a batch of random test entries, or a set of unique sample words for a design mockup.
This tool generates a list of N items from a pool, either as a set of unique items (sampling without repeats) or as an independent draw list that allows repeats.
What Is Random List Generator?
A bulk random-list generator that builds on the same idea as picking a single random item, extended to produce a whole list at once.
It works from either a pool you supply (one item per line) or a built-in generic word pool if you don't provide one.
How Random List Generator Works
In sample mode, the pool is shuffled with Fisher-Yates and the first N items are taken, guaranteeing no repeats — this requires N to be no larger than the pool size.
In generate mode, each of the N output items is drawn independently at random from the pool, so the same pool item can be selected more than once.
When To Use Random List Generator
Use sample mode when you need a set of distinct items, like assigning unique random usernames or unique prize winners from a pool of candidates.
Use generate mode when repeats are fine or even expected, like generating random dice-style test data or repeated survey sample answers.
Often used alongside Random Item Picker, Text Line Shuffler and Random Wheel Spinner.
Features
Advantages
- Supports both with-repeats and without-repeats generation from the same tool, covering the two most common list-generation needs.
- Includes a built-in generic word pool so the tool is usable immediately without preparing your own list.
- Handles large lists (up to 10,000 items) in one generation.
Limitations
- Sample mode enforces that you can't request more unique items than exist in the pool — plan pool size accordingly for large unique samples.
- The built-in default pool is a generic set of everyday nouns, not tailored to any specific domain (names, products, etc.) — supply your own pool for domain-specific lists.
Examples
Best Practices & Notes
Best Practices
- Use sample mode whenever the output represents distinct entities (names, winners, IDs) that shouldn't repeat.
- Provide your own domain-specific pool rather than relying on the generic default when the output needs to look meaningful for your use case.
Developer Notes
Sample mode reuses the same Fisher-Yates shuffle helper as the shuffling tools in this category, just truncated to the first N elements, rather than implementing a separate reservoir-sampling algorithm — simpler and equally correct for in-memory pools of this size.
Random List Generator Use Cases
- Generating a shortlist of unique raffle or contest winners
- Creating bulk random sample data for testing or demos
- Producing a random list of placeholder words for design mockups
Common Mistakes
- Requesting more unique items in sample mode than the pool actually contains.
- Using generate mode when unique results were actually needed, and being surprised by repeated items in the output.
Tips
- Provide a pool at least a few times larger than your requested sample size for the most 'random-feeling' unique samples.
- Use the default word pool for quick demos and testing before switching to your own domain-specific list.