App Overview

Green Pond Town icon

Green Pond Town

COTTONGAME Network Technology Co., Ltd. · Games

An Immersive Puzzle Adventure Game, Explore a Mysterious Town Shrouded in Enigma

$0.99 · In-app purchases

PRICE
$0.99
In-app purchases
BUSINESS MODEL
Paid
No overall Grossing estimate available
RATING
3.9
26 ratings · Top 50%

Evidence scope: No current overall US chart position is available. Category-chart positions shown in discovery are a separate scope. Revenue is a directional model estimate, not verified earnings.

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A product spec, screen plans, and build steps for your coding agent.

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What's included17 files

A product spec, phased build plan, differentiation notes, and screen references.

  • START_HERE
  • AGENTS
  • EVIDENCE
  • SPEC
  • BUILD_PLAN
  • DIFFERENTIATION
  • skills/
  • screens/
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Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.

Feature spec

Goal: Send a clear invoice after finishing a job.

  • Add a client, line items, a due date, and payment instructions.
  • Preview the total before exporting a PDF.
  • Keep an editable draft if export fails.

Screen plan

Invoice editor: Client at the top, editable line items in the middle, total and preview action at the bottom.

States: Empty draft, validation errors beside each field, exporting, and a retry action that preserves the draft.

Differentiate and validate

Hypothesis: Contractors need faster repeat invoices more than more templates.

First experiment: Test duplicating a previous job with five contractors. Watch where they hesitate before expanding the feature set.

The full kit adds a phased build plan, evidence notes, tool prompts, and implementation guidance. It is a plan for your coding agent, not a finished app.

Usage: Mechanics are fair game; never reuse the original name, branding, assets, or verbatim copy.

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Quick prompt

> SELECT BUILD PLATFORM:

Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.

// RORK SYSTEM PROMPT
Rork plan preview for Green Pond Town: map the core Games workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
            

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Opportunities

AI-GENERATED OPPORTUNITY HYPOTHESES

These are generated suggestions, not verified review quotations. Check current App Store reviews and speak with users before treating a possible gap as a requirement.

Hypothesis 1

Introduce new crops and animals regularly.

Assumption to check: Limited crop variety leads to repetitive gameplay.

Validate with people who use this workflow before building.

Hypothesis 2

Implement robust testing and user feedback loops.

Assumption to check: Some users report bugs in the shop interface.

Validate with people who use this workflow before building.

Hypothesis 3

Provide more free content to balance monetization.

Assumption to check: In-app purchases can feel aggressive.

Validate with people who use this workflow before building.

Hypothesis 4

Optimize backend performance and caching.

Assumption to check: Slow loading times during peak hours.

Validate with people who use this workflow before building.

App evidence

Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.

App Store description

An Immersive Puzzle Adventure Game, Explore a Mysterious Town Shrouded in Enigma You've received a strange letter, and inside, a chilling black and white photograph – the people in the picture are eerily faceless! A powerful intuition compels you to journey to the location in the photo: Greenwater Town. However, this town, named after a "green pond," is far more sinister than its name suggests. Game Features Immersive Story Experience: Follow in the footsteps of the protagonist, delve deeper into the mysteries of Greenwater Town. Experience the oppressive atmosphere and enigmatic aura of the town from a first-person perspective. Brain-Teasing Puzzle Exploration: From a stalled car to bizarre houses, each scene conceals clues and puzzles. You'll need keen observation, item collection, and puzzle-solving skills to gradually unveil the truth of Greenwater Town. Unique Atmospheric Horror: Black and white photos, faceless figures, a rainy town at night, and eerie sound effects combine to create a disturbing atmosphere, keeping you on edge with suspense and curiosity. Interconnected Puzzle Design: Each puzzle is intricately woven into the scenes and storyline. Logical deduction and sharp observation are crucial to find answers and advance the narrative. Multi-Interactive Experience: Click, drag, combine items, and interact with the environment in diverse ways, experiencing the genuine fun of exploration. You will experience Layered Suspense: Starting with a bizarre photo, the mystery deepens, the truth becomes increasingly elusive, keeping you captivated and wanting more. Meticulously Detailed Scenes: Every scene is meticulously designed, brimming with details, awaiting your discovery of hidden clues. Thrilling Puzzle-Solving Process: In the silent town, you will face unknown fears alone, challenging your wisdom and courage. Greenwater Town, a town full of secrets, awaits your brave exploration and unveiling.

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Build scope

Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.

Define the first version

Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.

Set boundaries

Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.

Check the hard parts

Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.

SUGGESTED BUILD STACK
React Native
Expo
Supabase
React Query
Framer Motion
Zustand
BUILD KIT DIFFICULTY
Intermediate

From the Build Kit assessment.

A reliable timeline needs an agreed scope and a technical check. Ask your agent to estimate the phases in BUILD_PLAN.md after that review.