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.
PROFESSIONAL MARKET ANALYSIS
$24.99 · 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.
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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.
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Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for Sell in May: map the core Finance 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.
PROFESSIONAL MARKET ANALYSIS. COMPLETELY PRIVATE. Sell in May brings institutional-quality market intelligence to your iPhone and Mac. Combining historical pattern recognition with optional on-device LSTM deep learning, it reveals what history suggests about any stock's future — under current market conditions — and can now keep watch on your Watchlist while you're away. WHY SELL IN MAY IS DIFFERENT Unlike simple charting apps, Sell in May is regime-aware: it classifies market conditions (volatility, trend, sentiment, macro regime) and only shows you patterns from similar historical periods, because markets don't behave the same in bull runs and bear markets. DUAL-ANALYSIS ENGINE • Pattern Matching: Scans 10+ years of data to find similar price patterns from comparable market regimes • Optional LSTM AI Forecasting: Probabilistic predictions for 5, 10, and 20-day horizons, with a clear "unavailable" indicator on the rare occasion the on-device model can't load • Two complementary perspectives reduce prediction bias REGIME-AWARE INTELLIGENCE Automatically detects volatility (Low/Medium/High), trend (Trending/Mean-Reverting/Neutral), risk sentiment (Risk-On/Risk-Off/Neutral), and macro regime (Recession, Slowdown, Recovery, Expansion, Stagflation). Historical patterns are filtered to match YOUR current regime. WATCHLIST & DAILY BRIEF (Optional) • Track the symbols you care about with an opt-in Morning Brief notification • Overnight pattern scanning surfaces real high-confidence matches found across your Watchlist while you slept • Optional mid-day pattern-alert pass for a second check during market hours AI CHAT • Ask questions about any analysis in plain language, powered by an on-device LLM • Conversations persist as you navigate instead of resetting on every tap • Dynamic suggestion chips surface the forecast direction and top historical pattern for the symbol you're viewing FUNDAMENTALS & DCF CALCULATOR • Per-ticker discounted cash flow calculator with live free cash flow / net debt auto-populated from market data • Peer correlation heatmap and risk & performance metrics against a configurable benchmark MACRO-ECONOMIC CONTEXT (Optional) With a FRED API key, integrates Federal Reserve data: interest rates, yield curve, credit spreads, CPI year-over-year, unemployment, sentiment, and recession probability. Patterns from similar economic conditions receive a similarity boost. PROBABILISTIC FORECASTING Never just a single number — always a range: multi-horizon predictions with confidence intervals, return percentiles (10th/25th/median/75th/90th), downside risk probabilities, and expected volatility. 100% PRIVACY-FIRST Complete on-device processing — your data never leaves your phone or Mac. No account, no cloud backend, no tracking. Works offline after initial data fetch. All analytics, forecasting, and AI chat run locally. PROFESSIONAL-GRADE TOOLS 14+ technical indicators, k-NN similarity matching, Core ML inference, Accelerate-framework computation, real-time ticker tape. WHO IT'S FOR Active traders, swing traders, quantitative analysts, privacy-conscious investors, and market students learning how regimes affect prices. DATA SOURCES Yahoo Finance for prices, FRED for economic indicators (optional), Stooq as a historical-data fallback. All data cached locally for offline use. NO SUBSCRIPTIONS. NO CLOUD. NO COMPROMISE. Your market intelligence deserves the same privacy as your portfolio. Professional analysis. Consumer simplicity. Complete data sovereignty. --- DISCLAIMER: Sell in May is a research and educational tool. Past performance does not guarantee future results. All forecasts are probabilistic and should not be considered investment advice. Always conduct your own due diligence before making investment decisions. .
Written user reviews are not shown here. Check current App Store reviews >
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: Lack of user engagement and community features
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Difficulty in tracking performance over time
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Limited customization options for user preferences
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.