Surveys wedding/event seating tools currently available: most are
pure drag-and-drop editors with no optimization algorithm, while a
smaller group (notably PerfectTablePlan) uses the same genetic
algorithm / scoring approach as this project. Documents pricing
patterns and identifies the gap this project could fill: a
web-native SaaS with real optimization and a German/EU-focused,
GDPR-friendly hosting story, which none of the surveyed competitors
currently offer together.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Documents a 5-milestone path (foundation, MVP web tool, variant
generation, accounts/persistence, monetization) to turn the
existing GA seating solver into a hosted service for wedding/event
seating, including effort estimates, GDPR considerations once real
guest data is stored long-term, and why a freemium/one-time-payment
model fits this use case better than advertising.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Michael Stangl