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.
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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.
A product spec, screen plans, and build steps for your coding agent.
First kit free with a verified email
Combine features and design from your favorite apps.
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Generating… usually about a minute.
What should your app do differently? Your note travels with the kit so your coding agent builds around your idea.
A product spec, phased build plan, differentiation notes, and screen references.
Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
Goal: Send a clear invoice after finishing a job.
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.
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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Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for NightFrost: map the core Weather workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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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
Assumption to check: Limited features compared to other weather apps
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Poor user interface and experience
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Lack of customization options
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: Inaccurate weather data
Validate with people who use this workflow before building.
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
*** One-time purchase – no ads, no subscriptions, no in-app purchases forever *** Protect your fields, fruit trees, and gardens with precise frost forecasts – tailored exactly to your location. The Night Frost App calculates the probability of night and ground frost and shows you the dew point, the minimum temperature at 2 m height, and at ground level. Whether ground frost will form at night can be determined for your location using the proven Magnus formula already in the late afternoon (70–80% accuracy) and 30 minutes after sunset (90% accuracy). Physical background: After sunset, the earth loses heat toward the sky – especially strongly when there are no clouds. As a result, the near-ground air also cools. The cooling stops as soon as the air becomes cold enough for the contained water vapor to condense into dew or fog. This releases heat, which slows down the cooling and can prevent ground frost. How much the temperature drops at night therefore depends on the so-called dew point. If the dew point is at 0 °C or below in the evening, ground frost is to be expected during the night. The lower the dew point, the higher the risk. The more parameters are taken into account, the more accurate the forecast. This app extends the proven, scientifically based Magnus dew point formula, which only considers temperature and humidity, with additional parameters and thus achieves a particularly high accuracy of well over 90%. Additional parameters are: • Wind speed • Cloud cover • Topography (e.g., depressions, hills) • Soil moisture • Location (city, settlement, countryside) • Unobstructed view of the sky • Snow cover Why this app is more accurate than a standard weather forecast: Standard weather forecasts are regional and cannot capture every cold air accumulation, valley basin, or other local condition. They therefore only provide regional probabilities, which often do not apply locally. The Night Frost App, however, uses your own on-site measurements (temperature and humidity) in combination with the decisive local conditions and thus delivers a highly precise frost warning exactly for your field or garden. Your benefits: • Reliably plan frost protection measures • Protect sensitive plants and crops • Minimize yield and quality losses With Night Frost, farmers, winegrowers, gardeners, and beekeepers are always one step ahead of the cold. Night Frost – your personal early warning system against night and ground frost.
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Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.
Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.
Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.
Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.
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.