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.
Data Generator is a fast, simple tool for generating realistic test data.
$2.99 · In-app purchases
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.
Kit ready. Verify your email to download it.
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.
JavaScript is required to complete mailbox verification.
Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for Data Generator Plus: map the core Developer Tools workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
Preview ready. Verify your email to reveal and copy the full prompt.
JavaScript is required to complete mailbox verification. Return to this prompt preview.
Affiliate link: CloneChart may earn a commission at no extra cost
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 data generation options compared to other tools
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Lack of templates or examples for data generation
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: No user community or support
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: In-app purchases may be confusing
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.
Data Generator is a fast, simple tool for generating realistic test data. It offers configuration options that provide great flexibility and manual control over the generated data. Test data can be used for machine learning or database testing purposes. Features: • Easy-to-use interface • Ability to set the amount of data • Ability to set minimum and maximum ranges for x-values and y-values • Support for integer or double data types • Option to avoid duplicate data (generate unique values only) • Preview data as a graph • Copy or save data in array format • Supported array formats: [x], [y], [x, y], (x, y), {x, y} Example Data: [x] - [2, 2, 2, 10, ... , 2, 10, 4, 8] [y] - [5, 3, 7, 8, ... , 4, 1, 2, 1] [x,y] - [[2, 5], [2, 3], [2, 7], [10, 8], ... , [2, 4], [10, 1], [4, 2], [8, 1]] (x,y) - ((2, 5), (2, 3), (2, 7), (10, 8), ... , (2, 4), (10, 1), (4, 2), (8, 1)) {x,y} - {{2, 5}, {2, 3}, {2, 7}, {10, 8}, ... , {2, 4}, {10, 1}, {4, 2}, {8, 1}} Example Usage: • Use for machine learning data training. Training data is used to teach an algorithm or machine learning model to predict specific outcomes. Test data is then used to evaluate the model's performance, such as accuracy and efficiency. • Generate dummy data for Excel training. • Create sample data as placeholders for both testing and operational purposes. • Or use it for any other purpose based on your imagination! Note: For datasets with more than 500 points, only the first 500 data points are displayed in the graph preview to improve performance. Thanks for your support and do visit nitrio.com for more apps for your iOS devices.
Written user reviews are not shown here. Check current App Store reviews >
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.