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.
SurveillanceBlobs uses on-device machine learning to detect and visualize objects in real time through your camera — no internet required
$2.99 · 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 Panoptican Blob Detection: map the core Photo & Video workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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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 editing features compared to competitors
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: Poor user onboarding experience
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Lack of community features for sharing results
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: High initial cost with no trial
Validate with people who use this workflow before building.
Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
SurveillanceBlobs uses on-device machine learning to detect and visualize objects in real time through your camera — no internet required. DETECTION MODES - BOX — bounding boxes around detected objects - LABEL — class name + confidence overlay - LINES — connection lines between objects with distance labels - MASK — instance segmentation with liquid mask effects - PIX — pixelate detected regions (inside or outside) - DIV — subdivide and animate detected regions with sine-wave motion, adjustable BPM, amplitude, and collapse effects FEATURES - Multiple detectable objects - Front and rear camera support with full device rotation - Record video with all visual effects baked in - Import existing videos and apply detection + effects - Per-class color coding - Adjustable confidence threshold, line width, and tracking persistence - Class filtering — choose which object types to detect - All processing runs on-device using Core ML — your camera feed never leaves your phone SETTINGS & CUSTOMIZATION - Box, label, and grid color pickers - Pixelation block size control - DIV mode: grid density, collapse amount, BPM, sine amplitude, foreground/background targeting - Detection persistence for smooth, stable tracking
Written user reviews are not shown here. Check current App Store reviews >
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.