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82pontuação
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.

Subindo +118%5 canaisTendência de menções nos últimos 30 dias: latest 1, peak 4, 30-day series
Ver no Reddit
Descoberto 8 de jul. de 2026

Por que isso importa

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.

  • · Feito 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..
  • · Monetização mais provável: freemium.

A Dor · 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.

Detalhe da pontuação

Intensidade da dor9/10
Disposição a pagar6/10
Facilidade de construção6/10
Sustentabilidade7/10

Sinal de Mercado

Tendência de menções nos últimos 30 diasPico: 4
Sparkline: latest 1, peak 4, 30-day series
Canais cobertos
developer-toolsecommerceproductivitymarketingstartups

Go-to-Market

Usuário-alvo exato

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

Contagem estimada de usuários

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

Canal principal de aquisição

SEO long-tail

Preço âncora

$4.99/month

Primeiro marco

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

Escopo do 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
Recursos do 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

Diferenciação

Soluções existentes
Coupon browser extensionsMarketplace native seller ratingsGeneric price trackers
Nosso diferencial
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 que isso pode falhar

Auto-refutação — o sinal de confiança mais 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.

Resumo das evidências

Como a IA sintetizou este insight — sem citações literais

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 postagem analisada5 5 canaisAI · Sintetizado por IA · sem citações literais

Plano de Ação

Valide esta oportunidade antes de escrever código

Próximo Passo Recomendado

Construir

Sinais de demanda fortes. Há dor real e disposição a pagar — comece a construir um MVP.

Kit de Textos para Landing Page

Textos prontos para colar, baseados na linguagem real da comunidade Reddit

Título Principal

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 Quem É

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 Funcionalidades

✓ 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

Onde Validar

Compartilhe sua landing page no r/Product Hunt · e-commerce — é exatamente lá que esses pontos de dor foram descobertos.

Cadastre-se para desbloquear a análise profunda completa

GTM, escopo do MVP, por que pode falhar, ActionPlan Copy Kit. O cadastro gratuito garante 10 visualizações detalhadas/mês.

Report & PRDBUSINESS

Outras oportunidades no mesmo tema

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Perguntas frequentes

Quem sente essa dor?
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.
Esta é uma oportunidade real?
Esta oportunidade atinge 82/100 na métrica composta do Pain Spotter (intensidade da dor, disposição para pagar, viabilidade técnica e sustentabilidade). Valide mais a fundo antes de dedicar tempo de engenharia.
Como devo validá-la?
Faça 5 conversas de descoberta de clientes com o público-alvo, publique uma landing page com lista de espera e verifique o post de origem vinculado em busca de atividades recentes antes de desenvolver.