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
Pythona - Python 3 IDE
Run Python — and large language models, fully on-device — right on your iPhone and iPad
Free
PRICE
Free
No in-app purchases
BUSINESS MODEL
Free
No overall Grossing estimate available
RATING
★ 5.0
4 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.
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Build Kit
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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/
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 Pythona - Python 3 IDE: 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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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
Implement features like debugging, code suggestions, and integrated libraries.
Assumption to check: Limited code execution features compared to desktop IDEs.
Validate with people who use this workflow before building.
Hypothesis 2
Enhance UI responsiveness and provide customizable layouts.
Assumption to check: User interface may feel cramped on smaller screens.
Validate with people who use this workflow before building.
Hypothesis 3
Add real-time collaboration tools for coding with peers.
Assumption to check: Lack of collaboration features for multiple users.
Validate with people who use this workflow before building.
Hypothesis 4
Include interactive tutorials and code challenges within the app.
Assumption to check: No built-in tutorials or learning resources.
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
Run Python — and large language models, fully on-device — right on your iPhone and iPad. Pythona is a full-featured Python 3.14 IDE that brings real scientific computing, notebooks, and local AI to your device. Jupyter-style notebooks Write and run Python in cells, just like Jupyter — charts, tables, images, and math render inline. Open, edit, and save .ipynb files to run data analysis and experiments anywhere. On-device AI & machine learning Run large language models entirely on-device with MLX, Apple's ML framework for Apple Silicon — inference runs locally, no API keys required. Try the included local LLM demo to get started in seconds. Scientific computing, preinstalled NumPy, SciPy, scikit-learn, Pandas, Matplotlib, OpenCV and more come precompiled and ready to import. A local Python environment - Python 3.14 with popular libraries - Smart, fast code completion - Syntax highlighting for many languages (JavaScript, C, Rust, Go, HTML, CSS, Shell, and more) - Markdown file preview - Create, save, and organize your scripts, and install more pure-Python packages via the built-in package manager Whether you're prototyping ML ideas, running data analysis, or learning Python on the go, Pythona puts a genuinely capable Python environment in your pocket.
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
React Navigation
SQLite
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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.
