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
Loot AI: Thrift Value Scanner
Know what it's worth before you buy.
Free
PRICE
Free
No in-app purchases
BUSINESS MODEL
Free
No overall Grossing estimate available
RATING
N/A
No ratings yet
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 included16 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 Loot AI: Thrift Value Scanner: map the core Shopping 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 machine learning algorithms to improve accuracy.
Assumption to check: Difficulty in accurately estimating item values
Validate with people who use this workflow before building.
Hypothesis 2
Add community features for users to share and compare values.
Assumption to check: Limited user engagement features
Validate with people who use this workflow before building.
Hypothesis 3
Incorporate ratings and reviews for scanned items.
Assumption to check: Inadequate user feedback mechanisms
Validate with people who use this workflow before building.
Hypothesis 4
Enhance user data security and transparency.
Assumption to check: Potential privacy issues with user data
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
Know what it's worth before you buy. Loot AI is your thrift store companion. Point your camera at a jacket, a pair of jeans, a bag, anything on the rack, and we identify it and pull real prices from live listings in seconds. No guessing, no frantic searching in the aisle. Just the numbers you need, before you buy. HOW IT WORKS 1. Spot something interesting. 2. Snap a photo, tag included if you can. 3. Get an instant ID and live prices.* WHAT YOU GET • Instant identification: brand, model, and item details from a single photo • Real market prices: a price range built from live listings, not stale estimates • Comparable listings: see the actual comps behind every number • Three markets: live prices from the US, Germany, and France • Scan history: every find saved, synced when you sign in HONEST BY DESIGN We show you the data: identification, price range, and comparable listings, so you make the call. No fake certainty, no inflated promises. When the market is thin, we say so. Built for thrifters, resellers, deal hunters, and declutterers. Wondering about that jacket, that jersey, those boots, that odd lamp? Snap it and know. Questions or feedback? Message us right from the app. We read everything. *Full access to all functionality requires a paid subscription. Terms of Use: https://loot-ai.app/terms Privacy Policy: https://loot-ai.app/privacy
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
expo-camera
react-navigation
@react-native-async-storage/async-storage
react-native-elements
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.
