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
nRF Edge Impulse
nRF Edge Impulse app is developed in collaboration with Edge Impulse to train and deploy embedded machine learning models on the Nordic Thingy:53 using Edge Impulse Studio
Free · In-app purchases
PRICE
Free
In-app purchases
BUSINESS MODEL
Freemium
No overall Grossing estimate available
RATING
★ 5.0
3 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/
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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 nRF Edge Impulse: 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
Add Gantt charts and collaboration tools
Assumption to check: Limited project management features
Validate with people who use this workflow before building.
Hypothesis 2
Implement reliable notification settings and management
Assumption to check: Inconsistent notifications
Validate with people who use this workflow before building.
Hypothesis 3
Provide analytics dashboards for project performance
Assumption to check: Lack of detailed analytics
Validate with people who use this workflow before building.
Hypothesis 4
Enhance onboarding with step-by-step tutorials and user guidance
Assumption to check: Difficult onboarding process
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
nRF Edge Impulse app is developed in collaboration with Edge Impulse to train and deploy embedded machine learning models on the Nordic Thingy:53 using Edge Impulse Studio. Every Nordic Thingy:53 comes pre-installed with firmware compatible with the nRF Edge Impulse mobile app. The app allows you to upload raw sensor data via your mobile device to the cloud-based Edge Impulse Studio and deploy fully trained ML models to the Nordic Thingy:53 over Bluetooth® Low Energy (LE). The app allows you to choose between existing projects in Edge Impulse studio data or creating a new project and can collect sensor data from the following set of sensors on the Nordic Thingy:53: - Accelerometer - Microphone - Magnetometer - Light - Temperature, Pressure, Humidity and Air quality - Inertial (Accelerometer and Magnetometer) - Light and Environment - Light and Inertial - Environment and Inertial - Light and Environment and Inertial The collected sensor data can be labeled as training or testing data and may be inferenced directly in the app with machine learning model deployed to the Nordic Thingy:53. A free Edge Impulse account, which may created from the app or at www.edgeimpulse.com, is required to connect nRF Edge Impulse with Edge Impulse studio.
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
Supabase
Zustand
React Navigation
React Native Reanimated
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.
