Pesquisa em inglês. A pesquisa desta página (título, briefing, fontes) está escrita em inglês e não é traduzida por máquina. Apenas a interface é traduzida.

Ideia novaConsumer Savings

Delivery Price Duel (Brazil)

A free consumer tool that compares the final price of the same restaurant order across iFood, 99Food, Keeta and Rappi (coupons, fees, delivery time), fed by user-submitted carts and receipts rather than scraping.

há 3 semanas · Avaliada em 20 de out. de 2026 · ID HBV-261020-H04

Resumo

BriefingHipótese

Brazil's delivery war (iFood 55M registered users, Rappi 20M, plus 99Food and Keeta) makes final prices swing wildly: a UOL test found the same R$33.90 order cost R$38.88 on iFood and R$11.95 on 99Food, while a TechTudo test found R$15.98 vs R$17.16 and delivery in 54 vs 27 minutes.…

Ler o restante

I found restaurant-side fee calculators, but no consumer same-cart comparator for Brazil (one search; Hypothesis). India has many (QuickCompare 1M+ downloads) and a UAE user asked for one on Reddit (Oct 19). Revenue figures are hypotheses.

DescriçãoAutodeclarado

Product: a mobile-web page (and later a browser extension) where a user pastes or screenshots their cart from one app and gets 'what would this cost on the others' using crowd-sourced prices for the same restaurant/dish by CEP (postal code), with live coupon status for the day. Data comes from three safe sources: user-…

Ler o restante

submitted receipts/screenshots (OCR), a user-side browser extension that reads only the user's own cart, and public menu/fee data; no scraping behind login. SEO pages: 'iFood ou 99Food: qual e mais barato em <city/restaurant>'. Viral loop: shareable 'I saved R$X by switching' cards. Revenue hypotheses: self-serve sponsor slots for restaurants and delivery partners priced up with traffic, a R$9.90/month alerts tier, and affiliate-free by design to keep trust. Benchmarks that the category works: QuickCompare (India, 1M+ downloads, 100K MAU per its API site; Self-reported), CompareMyKart (Swiggy vs Zomato carts).

Cliente-alvo

Brazilian urban consumers who order delivery weekly and use 2+ apps

Dor

Prices, fees and coupons differ by app and change daily; comparing means opening several apps

Por que esta nota

Por que a nota foi menor: Data access/ToS and crowd cold start

Barreira de entradaHipótese

Crowd price data by CEP and restaurant. Each submitted cart improves coverage; SEO pages per restaurant/chain rank for 'qual app e mais barato'. Defensibility: data network effects plus local SEO; status: Hypothesis.

Sinais de demanda

Posts no X (7 dias)

n/a

Tendência do sinal

n/a

Demanda na webVerificadoAutodeclarado

UOL and TechTudo tests (Verified journalism) show large coupon-driven gaps; iFood 55M and Rappi 20M registered users (Self-reported); QuickCompare India 1M+ downloads (Self-reported); UAE Reddit ask (Oct 19).

Mercado e concorrentes

TAMHipótese

R$ 60B (Hypothesis) — Brazil food-delivery GMV (order of magnitude). Method: Hypothesis; not a sourced report; replace with ABRASEL/iFood published figures in CD.

SAMHipótese

R$ 1B (Hypothesis) — Savings value for frequent multi-app users. Method: ~5M multi-app users x ~R$200/year savings; hypothesis.

SOMHipótese

R$ 300K ARR (Hypothesis) — 12-18 months. Method: ~300K monthly users x tiny sponsor/alert yield ≈ R$25K/month at best; low confidence.

Concorrentes

Restaurant-side fee calculators (Tamy, calculadoradelivery.com.br), coupon sites, India analogs (QuickCompare, CompareMyKart), journalists' manual tests

Modelo de negócio

Monetização

Self-serve sponsor slots priced up with traffic; R$9.90/month alerts tier; no affiliate links

Hipótese de receita (mensal)Hipótese

Base ~$6K/month, conservative ~$1.5K/month at 12-18 months (Hypothesis)

Jobs to be done

When I'm about to order the same food that is on several apps at different prices, I want to see the real final price on each app with today's coupons, so I can order from the cheapest or fastest one without opening them all.

HXC

Camila · 27 · São Paulo: Orders delivery 3-4 times a week, has iFood, 99Food and Keeta installed and chases first-order coupons. Tired of opening three apps; would submit a cart screenshot if it told her the cheapest total in 10 seconds.

Construção e go-to-market

Stack tecnológica

Next.js on Vercel; OCR via a vision API; Supabase; Stripe; optional browser extension; GitHub cesarx2 (one repo)

Canais de GTM

SEO/GEO pages per restaurant/chain/city, share cards for WhatsApp/X, faceless community answers; no founder face, no paid ads

Riscos

Principal risco

Data access/ToS and crowd cold start

Todos os riscos

Value Risk: Attention — Press tests show gaps but final totals sometimes converge (R$45.72 vs R$46.20). | Usability Risk: Attention — Submitting a cart must take under 10 seconds. | Feasibility Risk: Risk — App ToS and anti-bot measures; crowd data cold start. | Business Viability Risk: Attention — Platforms may block or copy; low monetization per user.

Próximo passo de validação

Interview 30 heavy users; test a paste-your-cart prototype on 20 São Paulo restaurants

Fontes

tab.uol.com.br https://www.techtudo.com.br/comparativo/2026/06/ifood-ou-99-testei-taxas-tempo-de-entrega-e-precos-veja-o-melhor-edapps.ghtml https://quickcommerceapi.com/ https://clauday.com/article/9f618f17-9ef6-48de-a199-e258b5f15b9c https://tamy.ai/ferramentas/comparador-delivery

delivery, price-comparison, brazil, ifood, 99food, keeta, consumer-savings, seo, crowd-data, idea, new, below-bar

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ProductBots.ai

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# Briefing: Delivery Price Duel (Brazil)

Source: Startup Ideas HQ (HB Ventures), found 2026-10-20. ProductBots Opportunity Score: 63/100, evidence confidence 53%.
Evidence labels (Verified, Self-reported, Hypothesis) are kept as written by the researcher.

## Goal for ProductBots.ai
Turn this idea into a validated MVP plan and a first build. Start from the next validation step; do not assume unlabelled numbers are verified.

## What it is
A free consumer tool that compares the final price of the same restaurant order across iFood, 99Food, Keeta and Rappi (coupons, fees, delivery time), fed by user-submitted carts and receipts rather than scraping.

Brazil's delivery war (iFood 55M registered users, Rappi 20M, plus 99Food and Keeta) makes final prices swing wildly: a UOL test found the same R$33.90 order cost R$38.88 on iFood and R$11.95 on 99Food, while a TechTudo test found R$15.98 vs R$17.16 and delivery in 54 vs 27 minutes. I found restaurant-side fee calculators, but no consumer same-cart comparator for Brazil (one search; Hypothesis). India has many (QuickCompare 1M+ downloads) and a UAE user asked for one on Reddit (Oct 19). Revenue figures are hypotheses.

## Customer and pain
Target customer: Brazilian urban consumers who order delivery weekly and use 2+ apps
Pain: Prices, fees and coupons differ by app and change daily; comparing means opening several apps

## Market and competitors
TAM: R$ 60B (Hypothesis) — Brazil food-delivery GMV (order of magnitude). Method: Hypothesis; not a sourced report; replace with ABRASEL/iFood published figures in CD.
SAM: R$ 1B (Hypothesis) — Savings value for frequent multi-app users. Method: ~5M multi-app users x ~R$200/year savings; hypothesis.
SOM: R$ 300K ARR (Hypothesis) — 12-18 months. Method: ~300K monthly users x tiny sponsor/alert yield ≈ R$25K/month at best; low confidence.
Competitors: Restaurant-side fee calculators (Tamy, calculadoradelivery.com.br), coupon sites, India analogs (QuickCompare, CompareMyKart), journalists' manual tests
Geography: Brazil first (São Paulo); extend to LatAm; global except China

## Business model
Monetization: Self-serve sponsor slots priced up with traffic; R$9.90/month alerts tier; no affiliate links
Revenue hypothesis (monthly): Base ~$6K/month, conservative ~$1.5K/month at 12-18 months (Hypothesis)

## Build and go-to-market
Build effort (agent-weeks): 2
Time to first revenue: 6-8 weeks
Tech stack: Next.js on Vercel; OCR via a vision API; Supabase; Stripe; optional browser extension; GitHub cesarx2 (one repo)
GTM channels: SEO/GEO pages per restaurant/chain/city, share cards for WhatsApp/X, faceless community answers; no founder face, no paid ads

## Risks and next step
Main risk: Data access/ToS and crowd cold start
Next validation action: Interview 30 heavy users; test a paste-your-cart prototype on 20 São Paulo restaurants

## Sources
https://tab.uol.com.br/noticias/redacao/2025/09/06/a-guerra-de-ifood-rappi-99food-e-keeta-pelo-mercado-de-delivery-no-brasil.htm https://www.techtudo.com.br/comparativo/2026/06/ifood-ou-99-testei-taxas-tempo-de-entrega-e-precos-veja-o-melhor-edapps.ghtml https://quickcommerceapi.com/ https://clauday.com/article/9f618f17-9ef6-48de-a199-e258b5f15b9c https://tamy.ai/ferramentas/comparador-delivery

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