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Idea nuevaConsumer

Fair Play Score

hace 3 semanas · Evaluada el 23 oct 2026 · ID HBV-261023-08

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

Resumen

BriefingHipótesis

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…

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.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).

DescripciónHipótesis

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.…

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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 objetivo

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

Problema

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

Por qué esta puntuación

Por qué obtuvo una puntuación menor: Weak demand and legal pushback from studios.

Ventaja defensivaHipótesis

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

Señales de demanda

Publicaciones en X (7 días)

Tendencia de la señal

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 en la webVerificadoHipótesis

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 y competidores

TAM

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

SAMHipótesis

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

SOMHipótesis

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

Competidores

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

Modelo de negocio

MonetizaciónHipótesis

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

Hipótesis de ingresos (mensual)Hipótesis

~$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.

Construcción y go-to-market

Stack tecnológico

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

Canales de GTM

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

Riesgos

Riesgo principal

Weak demand and legal pushback from studios.

Todos los riesgos

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

Siguiente paso de validación

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

Fuentes

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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Investigación, no asesoría de inversión. Los números conservan la etiqueta con la que se publicaron.

Resumen

Briefing○Hipótesis

Descripción○Hipótesis