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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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 Python IDE & Jupyter – Juno: 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.
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Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
Zero-setup Python IDE that runs your code offline, an AI coding assistant, and a developer toolbox — in a first-class citizen app for iPad and iPhone. Juno is designed to cover all your Python coding needs, supporting both Python scripts (.py) and Jupyter notebooks (.ipynb) — a document format focused on applying Python to data analysis and computational science. FREE FEATURES - Navigate and manage files and folders, quickly preview documents and media - Browse and edit Jupyter notebooks in a powerful, customizable notebook editor with beautifully rendered previews — editing is free - Write and edit code sources, scripts, JSON, XML, and other text-based formats — one versatile editor for code and text alike, with syntax highlighting - Add quick access bookmarks for file system locations outside the app's sandbox, or simply open documents in place PRO FEATURES Only one thing in Juno is Pro: running code. Even that is free to try — a generous trial allowance lets you run notebooks, scripts, projects, and the REPL before you buy. After the trial, running code unlocks with a one-time Pro purchase — not a subscription. - Run Jupyter notebooks, Python scripts, and whole projects locally with the built-in Python 3.13 interpreter and a full suite of up-to-date, preinstalled scientific and data packages — entirely offline - Explore interactively in a Python REPL — open a standalone prompt, or drop into it after running a script or project to keep exploring what it defined - Search the variables, functions, and imports in your session with the Object Inspector — no need to print each one - Open any folder as a project: file tree, multiple editor tabs, run any script, with a coding assistant aware of the whole project - Keep side outputs — Preview, Browser, Console, Object Inspector — open as side-by-side tabs in an output sidebar - View local web servers and HTML your code produces in a built-in browser with developer debug tools - Long-running scripts and Jupyter sessions keep going in the background - Automate with Shortcuts and Siri: App Intents run a Python file, run Python code, or open a file — pass arguments and files, capture output, and chain actions - Leverage powerful data analysis, machine learning and developer tools: NumPy, pandas, Polars, DuckDB, Matplotlib, SciPy, Scikit-learn, OpenCV, pygame, and more - Enjoy painless package management: install any pure Python package with an intuitive package manager ON-DEVICE AI AND MACHINE LEARNING Run LLMs locally with llama.cpp and MLX, train neural networks with Keras, and create images with Stable Diffusion. Hugging Face is built in. Start with five ready-to-run projects. AI CODING ASSISTANT The assistant runs on your account or your key, not ours: sign in with your account or add your OpenAI, Anthropic, or Gemini API key, and requests go straight from your device to your provider. You control what you spend and share — Juno never takes a cut. GAMES AND EMULATORS pygame is built in: write games with touch controls, sound, and full-screen graphics, and play them on your device. Eight complete games ship as examples, alongside NES, Game Boy, and CHIP-8 emulators written in Python, each with a library of freely licensed homebrew games — play them, then open the code to see how they work. PYTHON MEETS iOS Reach native iOS APIs straight from Python with the built-in juno modules: clipboard, Keychain, device info, location, motion sensors, contacts, reminders, photos, sound, notifications, sharing, and Bluetooth. Show native alerts and pickers, present full-screen image, video, and web previews, or call into UIKit, Foundation, and any Objective-C framework via the Objective-C bridge. SCRIPTS AND NOTEBOOKS Python scripts (.py) get intelligent code completion, a console with a full terminal emulator, and a media viewer for plots and web apps. Jupyter notebooks (.ipynb) keep code, markdown, plots, and LaTeX equations in one file, outputs included.
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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 support for complex libraries and packages
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Performance issues with larger notebooks
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: User interface can be cluttered with many options
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: Difficult to manage dependencies and versions
Validate with people who use this workflow before building.
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.