Lack of honest RSVP system for events like weddings

People get invited to weddings and feel obligated to attend even if they don't want to, leading to wasted money, time, and awkward situations for both hosts and guests. No easy way to gauge genuine interest.

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FL score

62

out of 100

Verdict

SKIP

medium confidence

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A system to predict which wedding guests will actually show up, reducing catering waste and planning costs.

The pain

Wedding hosts pay per head for food and venue capacity based on RSVPs, but 10-20% of yes-responders don't attend. A 150-person wedding with 20 no-shows costs $2,000-5,000 in wasted catering alone. Hosts have no way to distinguish between committed guests and flaky ones when planning.

The gap

Current RSVP tools (Zola, The Knot, email) are binary yes/no/maybe with no confidence signal. They don't capture intent strength, historical behavior, or relationship closeness. Hosts manually track who's reliable based on memory, which doesn't scale.

Build angle

Create a scoring layer on top of RSVP platforms that flags high-risk no-shows using: guest relationship type (family vs. acquaintance), RSVP timing (last-minute vs. early), historical attendance data if available, and distance traveled. Let hosts adjust catering counts based on confidence scores rather than raw RSVP numbers.

Strengths

  • Real, quantifiable financial loss for hosts ($2k-5k per wedding)
  • Problem exists across all wedding sizes and budgets
  • Data-driven solution fits how couples already think (risk management)
  • Could integrate with existing platforms (Zola, The Knot) rather than replace them
  • Potential B2B angle: sell to caterers and venues to improve their margins

Risks

  • Couples may resist flagging guests as 'risky' for social/emotional reasons
  • No-show rates vary wildly by region, culture, and guest demographics, hard to build universal model
  • Caterers already build 5-10% buffer into quotes; hosts may not see ROI
  • Data collection problem: most couples don't track historical attendance; first-time builders have no baseline
  • Market size is small: ~2.5M weddings/year in US, but only subset willing to pay for this
  • Regulatory/privacy risk if scoring feels discriminatory based on guest attributes
  • Couples may just overbuy catering anyway rather than trust a prediction system

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