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SwiftBrand

Services

  • AI
  • SaaS
  • Branding
  • Research

Summary

AI brand-intelligence platform — names, verified domains, trademark screening, market analysis.

Architecture

Node.js server (server.js) coordinating multiple specialist AI naming agents through an ensemble coordinator, backed by live multi-TLD domain, trademark, and social-handle availability checks. A bounded-concurrency job scheduler with crash recovery drives tiered HTML brand-intelligence report generation, streamed to the browser over server-sent events. Brand kits (logo via OpenAI's gpt-image-1, palette, fonts, voice) feed a set of editable templates (business card, pitch deck, merch mockups, one-page site), and a SQLite-backed first-party analytics layer plus LemonSqueezy billing round out the platform.

  • JavaScript
  • Node.js
  • SQLite
  • LemonSqueezy
  • OpenAI gpt-image-1

Features

Multi-agent AI name generation ensemble with per-candidate confidence scoring

Live multi-TLD domain, trademark, and social-handle availability checks

Tiered AI brand-intelligence reports with real-time SSE progress streaming

AI logo generation (OpenAI gpt-image-1) with color palette and font pairing

Brand template suite — business card, letterhead, pitch deck, merch mockups, one-page site

Programmatic SEO engine — 180+ pages across 30 niches, auto-generated sitemap

First-party privacy-safe analytics (no raw IPs stored, daily-salted visitor hash)

LemonSqueezy 4-tier billing with a separate deep-dive credit meter

White-label branding per account on the Agency plan

Business API key management for programmatic bulk-research access

Gallery

Hero: AI brand intelligence report headline with name/email signup form

Hero: AI brand intelligence report headline with name/email signup form

Feature grid: cultural safety check, brand identity, business plan generator

Feature grid: cultural safety check, brand identity, business plan generator

Comparison table vs Squadhelp, Namelix and Looka across AI quality and pricing

Comparison table vs Squadhelp, Namelix and Looka across AI quality and pricing

Frequently asked questions accordion list with 8 collapsed questions

Frequently asked questions accordion list with 8 collapsed questions

Mobile hero view of the brand intelligence headline and signup fields

Mobile hero view of the brand intelligence headline and signup fields

Forensic Build Metrics

Lines of code

19,347

Commits

96

Defects logged

8

Traditional build cost

$401,625–$859,500

Effort (person-years)

4.7

Sustained team size

4.9

Built in 0.56 calendar months. Defects — valuation.json defects_total snapshot — matches proof.html and the forensic reports.

Live at swiftbrand.studio generating verified brand packages end-to-end and monetizing them through a 4-tier SaaS billing system.

SwiftBrand

Next project

3XSR