I spent 30+ hours verifying a single brand name. Check domain availability across 6 TLDs, realize the .com is $14K not $12, open TESS for trademark search, check GitHub, npm, PyPI, App Store, Google for competitors — 8+ tabs, every time, for every name. And
now I'm shipping faster than ever with AI, so the grind multiplies. Brandomica runs all of that in one search:
- Domain availability with real pricing (Year 1, renewal, 3Y TCO — not the teaser rate registrars show)
- Trademark risk (~850K USPTO marks via FTS5, not screen-scraping TESS)
- Social handles (GitHub, Twitter/X, TikTok, Instagram, LinkedIn)
- Package registries (npm, PyPI, crates.io, RubyGems, NuGet, Homebrew, Docker Hub)
- App stores, Google competitor overlap
- Linguistic screening (7-language profanity + meaning detection)
- Phonetic conflict detection (double-metaphone + Levenshtein against trademark wordmarks)
- Safety score (0-100) and Filing Readiness summary
It works where you already work: web UI, CLI (npx brandomica check acme), REST API, MCP server for Claude/AI agents. No signup, no paywall.
Tech: Next.js 16, Vercel, Turso (SQLite FTS5 for USPTO bulk data), Vercel Domains API for pricing. The trademark index is built from official USPTO bulk XML — ~850K live marks, updated daily via launchd.
I built this because verification is the tax on launching, not the product. AI makes generating names trivial. Knowing which one is actually safe to use is the hard part.
Try it: https://www.brandomica.com
CLI: npx brandomica check yourname
Source (MCP server): https://github.com/BRNDMK/brandomica-mcp-server