Domain name suggestions

The generator creates familiar forms such as the exact keyword, get plus keyword, try plus keyword, keyword plus HQ, and clear hyphenated alternatives. Results are deterministic, organized by pattern and TLD, and ready to shortlist or pass into a separate registrar workflow. It does not contact registries, DNS providers, WHOIS services, or registrars, so it never claims that a generated domain is available to register.

Start with the core idea, then widen it consistently

A useful domain search usually begins with a short brand, product, project, or topic rather than a complete domain. Enter that core idea as the keyword and choose the top-level domains that suit the audience, such as .com for a broad commercial identity or .io for a technology product. The generator normalizes capitalization, spacing, punctuation, and common accented characters into a domain-friendly base. It then applies the same practical naming patterns to every requested extension. You receive the exact form first, followed by familiar action prefixes such as get, try, use, and go, then suffixes such as hq, app, and online. Hyphenated alternatives are included separately. This method produces a compact, comparable list instead of an unstructured brainstorm. Because ordering never changes for the same input, teams can review results repeatedly, store a shortlist, or compare naming sessions without wondering whether randomness hid an earlier idea. The normalized keyword is also returned, making any transformation visible rather than silently changing the requested brand.

Treat every result as a naming candidate, not an availability result

The words available and suggested are easy to confuse during domain research, but they describe different tasks. This capability only suggests syntactically useful name patterns. It makes no DNS request, registrar search, WHOIS lookup, registry query, trademark search, or social handle check. The checked_availability field is always false so downstream software can preserve that distinction. A domain in the output may already be registered, reserved, premium-priced, blocked by a registry, or unavailable under a particular registrar policy. After creating a shortlist, verify each candidate through a trusted registrar or registry source immediately before making a decision. You should also examine pronunciation, spelling, unintended meanings, existing brands, and relevant trademark rules. Availability can change at any time, so even a separate successful lookup is not a permanent promise. Keeping generation separate from verification is useful: the creative step remains fast and deterministic, while the time-sensitive purchasing step can use the provider, market, and legal review appropriate to your situation.

Use structured patterns to compare extensions and automate shortlists

Each suggestion includes the complete domain, the name before the extension, the normalized TLD, and a pattern identifier. That structure helps both people and software. A founder can scan exact names before considering modified forms, while an internal tool can group all get-prefix candidates or compare the same name across .com, .net, and .io. Input order is respected for unique TLDs, and duplicate extensions are removed after normalization, so .COM and com do not create repeated results. The stable output also makes the capability suitable for forms, spreadsheets, scripts, and product-name workshops where reproducibility matters. Use the list as a first-pass vocabulary rather than a recommendation score: shorter is not always better, prefixes can shift tone, hyphens can increase clarity while making spoken sharing harder, and an app or HQ suffix may imply a product stage that does not fit every organization. The API price is $0.002 per request, while the browser version can run the same deterministic logic locally.