Naamkaran - AI product/startup name suggestion and brand validator.
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Naamkaran helps you name a product or a startup without the usual regret loop.
Brainstorm with AI in 10 naming styles, then instantly check domain availability and brand uniqueness in one workspace. Use manual check for a name you already love, generate ideas freely, or turn on Smart pick to only surface names that pass validation.
Built for founders, indie hackers, and anyone tired of falling in love with a name that’s already taken.

Replies
How does the domain check actually work under the hood, is it pulling live WHOIS data in real time or just matching against a cached list?
@filizmzyd Thanks for the question. It's live registry lookups, not a static availability list. For each name we hit the registry's RDAP API first (404 = available, 200 = taken), and if that fails we fall back to a direct WHOIS query on port 43. We only cache the full result for the same name for about a week in Firestore (currently disabled), so repeat checks are fast. The availability itself isn't precomputed.
Love how Smart pick filters out taken names before you waste time getting attached, that one toggle pretty much solves the whole "fell in love with the wrong name" problem founders know too well.
@sevdayeilefqel Thank you very much! That is the core USP of this product. I have to keep improving it and hopefully launch it with more powerful paid models.
Love how you built domain checks right into the workflow instead of bouncing between tabs. Quick question though, how does the brand uniqueness check actually work and is the Smart pick limit tied to a paid plan?
The one workspace approach is genuinely smart, having brainstorming and domain checks side by side means you stop losing momentum when a name almost works.
How does the domain check actually work under the hood, is it pulling live whois data or relying on a cached registry, and does that mean I might get a green check on a name that just got registered seconds ago?