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.
App Overview
开喝 kaihe
开喝 App 是一款由大语言模型与风格化图像生成模型驱动的「情绪饮品」应用。向开喝倾诉你的心情、口味与场景，开喝 AI 会为你生成一杯专属饮品——配方、命名、插画、文案一应俱全。
$1.99 · In-app purchases
PRICE
$1.99
In-app purchases
BUSINESS MODEL
Paid
No overall Grossing estimate available
RATING
★ 5.0
1 ratings · Top 5%
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.
Build your own version
Build Kit
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A product spec, screen plans, and build steps for your coding agent.
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What should your app do differently? Your note travels with the kit so your coding agent builds around your idea.
What's included18 files
A product spec, phased build plan, differentiation notes, and screen references.
- START_HERE
- AGENTS
- EVIDENCE
- SPEC
- BUILD_PLAN
- DIFFERENTIATION
- skills/
- screens/
Preview a sample Build Kit No email needed
Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
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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Free quick prompt For a smaller starting point
Quick prompt
Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
// RORK SYSTEM PROMPT
Rork plan preview for 开喝 kaihe: map the core Food & Drink 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
Expand categories to include snacks and desserts.
Assumption to check: Limited drink selection compared to food delivery apps
Validate with people who use this workflow before building.
Hypothesis 2
Implement a robust search feature with filters.
Assumption to check: Poor search functionality
Validate with people who use this workflow before building.
Hypothesis 3
Create user profiles to keep order history and favorites.
Assumption to check: Lack of user profiles for tracking orders
Validate with people who use this workflow before building.
Hypothesis 4
Introduce a loyalty program to incentivize repeat customers.
Assumption to check: Weak promotional offers
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
开喝 App 是一款由大语言模型与风格化图像生成模型驱动的「情绪饮品」应用。向开喝倾诉你的心情、口味与场景，开喝 AI 会为你生成一杯专属饮品——配方、命名、插画、文案一应俱全。 在这个碎片化、情绪过载的时代，我们想为你保留一处小小的仪式感： 让每一种情绪，都能化作一杯可以喝下去、可以收藏、也可以被理解的饮品/数字卡片。以饮品为媒介，把「当下的你」定格为一个被记录、被记得的瞬间——一种把情绪数字化、视觉化、仪式化的轻型自我关照方式。 核心功能亮点 AI 调酒师：能记住你喜好的调酒师 Agent, 推荐酒单、创作配方。 用日常语言描述心情、口味偏好、颜色与场景，获得只属于你的配方与故事。 在家也能玩的【DIY 调酒】 自动生成酒卡与详细步骤，零门槛复刻新花样。 10+ 风格饮品卡 多种视觉风格可选，支持下载、分享、打印；在家也能做出“酒吧级”酒单。 智能库存识别 拍照识别你现有原料与酒具，自动呈现可做清单与基础介绍。 调酒笔记 / 品鉴记录 记录每一次口感与心情，让微醺体验被长期看见。 品类延展 从「酒」走向更广义的情绪饮品：咖啡、茶、气泡饮、睡前奶、疗愈热饮等，帮你以更轻松、更有趣的方式“为情绪端上一杯”。 即可用开喝微醺调一杯吧~
Written user reviews are not shown here. Check current App Store reviews >
Screenshots
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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
Zustand
Supabase
React Navigation
React Native Maps
BUILD KIT DIFFICULTY
Advanced
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.
