Fragmented ticket discovery and aggregation across multiple vendors

Fans struggle to discover events across ticket platforms. A unified search/discovery layer across Ticketmaster, Vivid Seats, StubHub, and emerging platforms could help users find events faster.

YC GraveyardJun 1, 2008ToolEntertainmentSource

FL score

out of 100

Verdict

BUILD

high confidence

Competition

competitors found, emerging market, funded players

Trend

5 community mentions

A personalized AI-driven event discovery and transparent ticket comparison platform for a niche audience.

The pain

Fans struggle with fragmented event discovery across numerous platforms and are frustrated by hidden fees and difficulty comparing 'all-in' prices, leading to missed events or overpaying.

The gap

While price comparison tools exist, there's a gap for a truly personalized event discovery engine with AI recommendations that aggregates *all* events (not just prices) across platforms, specifically for a niche audience, and explicitly displays transparent 'all-in' pricing upfront.

Build angle

Develop an MVP focused on a specific city and music genre (e.g., 'Austin Indie Rock') that scrapes public event data, integrates existing event APIs (Songkick, Bandsintown), and uses AI to provide personalized recommendations and 'all-in' price comparisons from major and niche ticket vendors, monetized via affiliate links.

Strengths

Addresses a significant and frequent user frustration (hidden fees, fragmented search).
Market timing is favorable with 'all-in pricing' mandates and AI capabilities.
Solo builder friendly MVP using existing APIs/scraping and AI tools.

Questions about this idea?

FlyBot reads the scoring and gives you a second opinion on “Fragmented ticket discovery and aggregation across multiple vendors”.

Open FlyBot

Fly Labs Method

Is the pain real, is there a gap, is it the right time, can one person build it.

Problem clarity: 24
Solution gap: 15
Willingness to pay: 19
Buildability: 14

A strong pain point around ticket fees and discovery, but the market is competitive. A niche AI-driven personalization angle offers a potential gap.

Value Equation

Dream outcome and how likely it feels, against the time and effort it costs.

Good market pain and value proposition, but differentiation and pricing power might be challenging in a competitive space.

One-Person Business

Curiosity pull, identity fit, and a path from free value to paid for a solo creator.

Addresses a clear problem with good leverage, but audience reach and complexity require strategic niche-down and execution.

Viral Frameworks

Hook strength, shareability, and how cheaply it can be tested.

Clear value prop and audience, but distribution in a competitive market and API/scraping sustainability pose risks.

Builder Lens

Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.

Strong demand and a clear improvement over the status quo, with a viable narrow wedge and favorable market trends.

Why this verdict

The idea scores well on pain and buildability, and the YC graveyard context actually reinforces its potential now due to technological shifts. However, the 'crowded' competition level means a solo builder needs a hyper-specific, defensible niche. The current market already has several price comparison tools, making the 'AI personalization' and 'all-in event discovery' for a specific audience the critical differentiating factor. This requires more specific validation to ensure the 'gap' is real and compelling enough for users to switch from existing free alternatives, rather than just theoretically existing. Confirming willingness to pay (even via affiliates) for the *added value* of AI personalization, not just comparison, is key.

Five lenses, one composite. How scoring works

The angle

This weekend

Conduct in-depth interviews with target niche users (e.g., specific genre concert-goers) to confirm specific pain points and desired features for AI personalization.
Build a proof-of-concept for scraping/API integration for a narrow set of data (e.g., 2-3 platforms, one city/genre) to assess feasibility and reliability.
Validate demand for AI personalization beyond just price comparison; understand what specific 'recommendations' users truly value.

Who is already there, emerging market

Seatsearch.coVisit
A website that compares ticket prices across major marketplaces like StubHub, Vivid Seats, Gametime, and TicketNetwork.
Pricing: Free to use.
TixpyVisit
An AI-powered Chrome extension that compares all-in ticket prices across resale sites, including hidden fees.
Pricing: Not explicitly stated, but implies free as it's a Chrome extension and 'powered by XP' a new marketplace with upfront pricing.
TicketmasterFundedVisit
A primary and secondary marketplace for concerts, sports, theater, and other events.
Pricing: Varies by contract for organizers. Buyers often face 10-25% fees, now mandated to be shown as 'all-in pricing' upfront.
StubHubFundedVisit
A large online ticket reseller for live events including concerts, sports, and theater.
Pricing: Charges sellers a 15% commission and buyers typically 20-30% in service fees, displayed at checkout.
Vivid SeatsFundedVisit
An online ticket marketplace for sports, concerts, and theater events, known for its loyalty program and competitive pricing.
Pricing: Charges around 10% in ticket-selling fees and between 15% and 24% for buyers, often shown at checkout.
SeatGeekFundedVisit
A ticket marketplace that started as an aggregator and now also acts as a primary and secondary marketplace for various events.
Pricing: Selling fees generally range from 10-15%. Buyer fees are included in the upfront price.
GametimeFundedVisit
A mobile-first ticket marketplace focused on last-minute deals for sports, music, and theater events.
Pricing: Prices on Gametime include fees upfront.

Funded players

What they charge

The pricing landscape is characterized by a mix of upfront 'all-in' pricing and fees disclosed at checkout. Major resale platforms like StubHub and Vivid Seats typically charge buyers 15-30% in fees, while sellers face commissions of around 10-15%. Newer comparison tools like Seatsearch.co and Tixpy are free for users, aiming to gain traction by highlighting these fee discrepancies. Primary ticketing platforms' pricing varies by contract with venues.

What people say, 5 mentions

The Best Voice of Customer Platforms for Enterprises in 2026
r/SaaS
Built a small SaaS to centralize Facebook Marketplace, Craigslist, etc. into one place looking for brutal feedback
r/SaaS
Building a SaaS “Lifecycle OS” for B2B SaaS teams — is this actually a real pain or am I overthinking?
r/SaaS
SaaS Post-Launch Playbook — EP18: Launching on AppSumo / Dealify / Deal Mirror / StackSocial, etc.
r/SaaS
In need of validation for music app
r/SaaS

r/r/SaaS

Fragmented ticket discovery and aggregation across multiple vendors

Nothing related yet.