Find names with a prefix
Build a small, deliberate wildcard scan using a prefix and your own wordlist.
Start with words you would actually use
Add a short list of relevant words, one per line. Keep extensions out of the wordlist. Enter get* to put “get” before each word, or change the fixed prefix to suit your project. Every asterisk is one wordlist position; it does not ask an AI to invent names.
Review the size before starting
For one wildcard, the candidate count is usable words multiplied by selected extensions. More wildcards multiply combinations, so begin with a small list. The estimate updates before any checks run. Use the editor's line numbers and skipped-line explanations to correct rejected entries.
Keep a small set of useful findings
Use the result length, hyphen, and number filters to narrow finished names. These filters do not rerun checks. Star promising findings and add notes to keep them through later scans. Saved names retain their original check times; use a deliberate fresh check when you need newer evidence.
The sample below uses Alphabet to demonstrate the prefix with exactly 26 checks. It is a practice set, not a list of recommended or verified-purchasable names.
Prepare a 26-check sample
Pattern: get* · Extensions: .com · Built-in list: Alphabet (26 words).
Opening the sample only fills the form. Review it and press Start scan to send registry requests. Your existing lists and saved findings are kept. The sample link contains only its pattern, extensions, and built-in list ID.