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Ideia novaConsumer

Fair Play Score

há 3 semanas · Avaliada em 23 de out. de 2026 · ID HBV-261023-08

Título provisório: Fair Play Score — a community and AI-tested rating of which mobile games rig difficulty to sell ads or purchases (working name)

Resumo

BriefingHipótese

New idea. Existence check: Searched 23 Oct 2026: app-store reviews and Reddit threads only; no dedicated rating of ad/difficulty manipulation found. The gap exists, but demand is thin. X: 37 posts/7d (Down 40% Sat→Thu (full UTC days: Sat 17 5 → Thu 22 3); peak Mon 19 9; Thu 22 is 67% below peak — ≥50% below peak: POP 5…

Ler o restante

.3 window-closed signal; window 2026-10-16 10:05–10:20 UTC (start varies by query) → 2026-10-23 10:00 UTC (X API 7-day limit; Fri 16 and Fri 23 are partial UTC days; full days Sat 17 → Thu 22)). Revenue hypothesis: ~$200–$1K/month at month 6 (HYPOTHESIS).

DescriçãoHipótese

Before you install a casual mobile game, see its Fair Play Score: how often it forces ads, whether levels get harder to push purchases, and real player reports. Aplicação global; Versão LatAm in Portuguese and Spanish. Who: Casual mobile gamers 18–50 (puzzle and block games), and parents choosing games for kids.…

Ler o restante

Pain: Popular free games appear to manipulate difficulty and ad frequency; players feel cheated but have no independent rating. Monetization: Affiliate links to fair premium games; labeled sponsor slots for ad-free games (hypothesis). Build: 2–3 agent-weeks (test harness on emulators, scoring, community reports); stack: Next.js on Vercel; Android emulator test runs; Postgres; community reports. GTM: SEO for "is [game] rigged"; shareable score cards; faceless short videos with gameplay.

Cliente-alvo

Casual mobile gamers 18–50 (puzzle and block games), and parents choosing games for kids.

Dor

Popular free games appear to manipulate difficulty and ad frequency; players feel cheated but have no independent rating.

Por que esta nota

Por que a nota foi menor: Weak demand and legal pushback from studios.

Barreira de entradaHipótese

Methodology: A transparent test method could build trust. Thin demand limits value. Status: Hypothesis.

Sinais de demanda

Posts no X (7 dias)

Tendência do sinal

Down 40% Sat→Thu (full UTC days: Sat 17 5 → Thu 22 3); peak Mon 19 9; Thu 22 is 67% below peak — ≥50% below peak: POP 5.3 window-closed signal

Demanda na webVerificadoHipótese

An X News story (17 Oct 2026) on Block Blast cited 368M downloads in 2025 and about US$100M per year in ad revenue (third-party figures, Hypothesis) and allegations of rigged levels. X discussion is small: 37 posts in 7 days (Verified X API).

Mercado e concorrentes

TAM

Not sized this run — Scope: Game-rating traffic. Method: No report fetched. (Basis: n/a)

SAMHipótese

Not sized — Scope: n/a. Method: n/a. (Basis: Hypothesis)

SOMHipótese

~$2K–$12K ARR (hypothesis) — Scope: Month-6 run-rate. Method: From revenue hypothesis ×12. (Basis: Hypothesis)

Concorrentes

App Store / Google Play reviews; Reddit communities; Common Sense Media (kids only, not ad manipulation); game review sites.

Modelo de negócio

MonetizaçãoHipótese

Affiliate links to fair premium games; labeled sponsor slots for ad-free games (hypothesis).

Hipótese de receita (mensal)Hipótese

~$200–$1K/month at month 6 (HYPOTHESIS).

Jobs to be done

When I feel a game is cheating me to show ads, I want to check if it is rigged before I install, so I can pick a fair game instead.

HXC

Carlos, 42, Recife (illustrative) · Plays block puzzles daily; suspects the game cheats. Buying signal: Would read a score; would not pay.

Construção e go-to-market

Stack tecnológica

Next.js on Vercel; Android emulator test runs; Postgres; community reports

Canais de GTM

SEO for "is [game] rigged"; shareable score cards; faceless short videos with gameplay

Riscos

Principal risco

Weak demand and legal pushback from studios.

Todos os riscos

Value: High — Weak demand | Usability: High — Legal pushback | Feasibility: Attention — Monetization | Business Viability: Supported — Clear gap

Próximo passo de validação

Not recommended. Revisit only if a rigging story trends above 1,000 posts/day.

Fontes

X News story on Block Blast (17 Oct 2026, third-party figures)
X API counts (window above)

ideanewmobile-gamesconsumer-rightsratingsb2cgloballatam

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# Briefing: Fair Play Score — a community and AI-tested rating of which mobile games rig difficulty to sell ads or purchases (working name)

Source: Startup Ideas HQ (HB Ventures), found 2026-10-23. ProductBots Opportunity Score: 49/100, evidence confidence 42%.
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
Before you install a casual mobile game, see its Fair Play Score: how often it forces ads, whether levels get harder to push purchases, and real player reports. Aplicação global; Versão LatAm in Portuguese and Spanish.

New idea. Existence check: Searched 23 Oct 2026: app-store reviews and Reddit threads only; no dedicated rating of ad/difficulty manipulation found. The gap exists, but demand is thin. X: 37 posts/7d (Down 40% Sat→Thu (full UTC days: Sat 17 5 → Thu 22 3); peak Mon 19 9; Thu 22 is 67% below peak — ≥50% below peak: POP 5.3 window-closed signal; window 2026-10-16 10:05–10:20 UTC (start varies by query) → 2026-10-23 10:00 UTC (X API 7-day limit; Fri 16 and Fri 23 are partial UTC days; full days Sat 17 → Thu 22)). Revenue hypothesis: ~$200–$1K/month at month 6 (HYPOTHESIS).

## Customer and pain
Target customer: Casual mobile gamers 18–50 (puzzle and block games), and parents choosing games for kids.
Pain: Popular free games appear to manipulate difficulty and ad frequency; players feel cheated but have no independent rating.

## Market and competitors
TAM: Not sized this run — Scope: Game-rating traffic. Method: No report fetched. (Basis: n/a)
SAM: Not sized — Scope: n/a. Method: n/a. (Basis: Hypothesis)
SOM: ~$2K–$12K ARR (hypothesis) — Scope: Month-6 run-rate. Method: From revenue hypothesis ×12. (Basis: Hypothesis)
Competitors: App Store / Google Play reviews; Reddit communities; Common Sense Media (kids only, not ad manipulation); game review sites.
Geography: Global English; Brazil and Mexico (Versão LatAm)

## Business model
Monetization: Affiliate links to fair premium games; labeled sponsor slots for ad-free games (hypothesis).
Revenue hypothesis (monthly): ~$200–$1K/month at month 6 (HYPOTHESIS).

## Build and go-to-market
Build effort (agent-weeks): 2–3 agent-weeks (test harness on emulators, scoring, community reports)
Time to first revenue: ~2 months
Tech stack: Next.js on Vercel; Android emulator test runs; Postgres; community reports
GTM channels: SEO for "is [game] rigged"; shareable score cards; faceless short videos with gameplay

## Risks and next step
Main risk: Weak demand and legal pushback from studios.
Next validation action: Not recommended. Revisit only if a rigging story trends above 1,000 posts/day.

## Sources
X News story on Block Blast (17 Oct 2026, third-party figures); X API counts (window above)

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Resumo

Briefing○Hipótese

Descrição○Hipótese