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82puntuación
PH · e-commerce
freemium
Build

Fake Sale Detector Extension

Build a consumer shopping assistant that verifies whether a discount is legitimate using historical price tracking shown directly on retailer pages. The strongest pull is immediate money protection at the moment of purchase, with clear evidence that users already value this more than generic coupon tools.

En aumento +118%5 canalesTendencia de menciones de 30 días: latest 1, peak 4, 30-day series
Ver en Reddit
Descubierto 8 jul 2026

Por qué es importante

You are shopping online, see a dramatic markdown, and still feel unsure whether the deal is real. Existing tools pile on coupon codes or price-drop badges but rarely tell you if the current offer is actually better than the normal selling price. So you either buy with doubt or open multiple tabs to compare manually. That creates friction on everyday purchases and makes people vulnerable to urgency tactics. A simple, inline price-truth layer solves a highly repeated consumer problem because it works at the exact moment when purchase decisions are made.

  • · Creado para Frequent online shoppers who buy on large marketplaces and retail sites several times per month and want to avoid fake discounts without doing manual research..
  • · Monetización más probable: freemium.

El Dolor · Narrativa

You are shopping online, see a dramatic markdown, and still feel unsure whether the deal is real. Existing tools pile on coupon codes or price-drop badges but rarely tell you if the current offer is actually better than the normal selling price. So you either buy with doubt or open multiple tabs to compare manually. That creates friction on everyday purchases and makes people vulnerable to urgency tactics. A simple, inline price-truth layer solves a highly repeated consumer problem because it works at the exact moment when purchase decisions are made.

Desglose de puntuación

Intensidad del dolor9/10
Disposición a pagar6/10
Facilidad de construcción6/10
Sostenibilidad7/10

Señal de Mercado

Tendencia de menciones de 30 díasPico: 4
Sparkline: latest 1, peak 4, 30-day series
Canales cubiertos
developer-toolsecommerceproductivitymarketingstartups

Estrategia de lanzamiento

Usuario objetivo exacto

Desktop-first online shoppers who make at least 5 discretionary retail purchases per month on major marketplaces.

Número estimado de usuarios

a few hundred thousand reachable early through browser-extension and deal-seeking audiences

Canal de adquisición principal

SEO long-tail

Ancla de precio

$4.99/month

Primer hito

100 weekly active users who save at least one product and 20 convert to paid alerts within 30 days

Alcance del MVP · 1-2 semanas

Semana 1
  • Build Chrome extension that detects supported retailer product pages
  • Create product-page parser for title, current price, seller, and SKU-like fields
  • Set up database schema for daily price snapshots by product URL
  • Design simple inline widget showing current price versus historical median
  • Launch landing page with email capture and install flow
Semana 2
  • Add fake-discount logic using rolling 90-day baseline and threshold rules
  • Implement saved-product watchlist with email alerts
  • Connect a second retailer to validate multi-site parsing
  • Instrument analytics for installs, widget views, and alert signups
  • Run a small beta with 20 shoppers and collect accuracy feedback
Funciones MVP: Inline 90-day or 180-day price history on product pages · Fake-discount flag based on historical baseline and current seller context · Verified price alerts for saved products across retailers

Diferenciación

Soluciones existentes
Coupon browser extensionsMarketplace native seller ratingsGeneric price trackers
Nuestro enfoque
There is a gap between discount-focused shopping tools and a broader trust-focused decision layer that combines price truth, seller credibility, and duplicate-product detection in one interface.

Por qué esto podría fallar

Autorrefutación: la señal de confianza más importante

  1. 1Retailers may change page structure often, making maintenance expensive for a small team.
  2. 2Consumers may like the feature but still expect it to be free because savings tools are often ad- or affiliate-funded.
  3. 3If the detector mislabels normal promotions as fake, users will stop trusting the product quickly.

Resumen de evidencia

Cómo la IA sintetizó esta información: sin citas textuales

The discussion shows repeated enthusiasm for historical price visibility, with roughly ten comments emphasizing fake sales as a frequent problem. Several participants said price history changed buying decisions or would be valuable on its own, while others requested alerts and inline browsing support. This indicates a clear consumer wedge around price-truth verification rather than generic discount discovery.

1 1 publicación analizada5 5 canalesAI · Sintetizado por IA · sin citas textuales

Plan de Acción

Valida esta oportunidad antes de escribir código

Próximo Paso Recomendado

Construir

Señales de demanda fuertes. Hay dolor real y disposición a pagar — empieza a construir un MVP.

Kit de Textos para Landing Page

Textos listos para pegar, basados en el lenguaje real de la comunidad de Reddit

Titular

Fake Sale Detector Extension

Subtítulo

Build a consumer shopping assistant that verifies whether a discount is legitimate using historical price tracking shown directly on retailer pages. The strongest pull is immediate money protection at the moment of purchase, with clear evidence that users already value this more than generic coupon tools.

Para Quién Es

Para Frequent online shoppers who buy on large marketplaces and retail sites several times per month and want to avoid fake discounts without doing manual research.

Lista de Funciones

✓ Inline 90-day or 180-day price history on product pages ✓ Fake-discount flag based on historical baseline and current seller context ✓ Verified price alerts for saved products across retailers

Dónde Validar

Comparte tu landing page en r/Product Hunt · e-commerce — ahí es exactamente donde se descubrieron estos puntos de dolor.

Regístrate para desbloquear el análisis profundo completo

GTM, alcance del MVP, por qué podría fallar, ActionPlan Copy Kit. El registro gratuito otorga 10 vistas detalladas/mes.

Report & PRDBUSINESS

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Preguntas frecuentes

¿Quién siente este problema?
Frequent online shoppers who buy on large marketplaces and retail sites several times per month and want to avoid fake discounts without doing manual research.
¿Es esta una oportunidad real?
Esta oportunidad tiene una puntuación de 82/100 en la métrica compuesta de Pain Spotter (intensidad del dolor, disposición a pagar, viabilidad técnica y sostenibilidad). Valídala más a fondo antes de dedicar tiempo de ingeniería.
¿Cómo debería validarla?
Realiza 5 conversaciones de descubrimiento de clientes con el público objetivo, publica una landing page con lista de espera y revisa la publicación de origen enlazada para ver la actividad reciente antes de desarrollar.