Product Architecture Engine

Build the version people actually want

Describe your idea. Skopple mines what real users of competing apps love, hate, and beg for — then shapes the version the evidence says will win, and hands you the blueprint to build it.

Skopple Terminal v1.0.0
> USER_INPUT

> SKOPPLE_BOT
Awaiting query...
SCANNING COMPETITORS...Reddit, App Store, Product Hunt...

Recommendation:

High saturation. 14 graveyard failures found. Pivot proposed.

Awaiting input...
Report: SquatTracker MVPRESEARCH COMPLETE

Saturation

HIGH

Graveyard

14

Signal Score

24/100

Failed Competitor Database
• SquatRepCount (App Store)[Dead: 2024]
• BarbellPulse (Product Hunt)[Dead: 2025]

Primary failure reason: User fatigue logs (manual typing required).

The New Bottleneck

Anyone can ship an app now. Almost nobody ships the right one.

AI writes a working app in an hour — so building stopped being the hard part. The hard part is knowing which version is worth building: what real users are starving for, what's already failed in this space, and where the actual opening is. Skip that, and you ship beautiful code nobody asked for.

With Cursor, I built an entire SaaS in 4 hours. Then I spent 3 months trying to find a single user. Building is no longer the hard part.

R
@rob_codes

The graveyard is full of beautiful, AI-generated code that nobody wanted. Stop vibe-coding before you do market research.

C
@founder_c

I thought my idea was unique until Skopple showed me 8 identical apps that died last year. Saved me months of wasted code.

N
@nicole_dev
The Architecture Engine

From Vague Idea to Build-Ready Blueprint

01

01. Intake & Deconstruct

Input your raw idea. Our engine automatically detects your target users, competitor keywords, and core differentiators.

02

02. Deep Graveyard Research

We scan Reddit discussions, App Store negative reviews, and dead startup registries to find out why existing solutions fail.

03

03. Build-Ready Spec

Get the strategic play, a curated MVP feature list focused on user pain points, and a ready-to-build product blueprint.

CORE DIFFERENTIATOR

Competitor Love & Hate Mapper

Most founders build blind, copying competitor features that users actually hate, or missing the exact gap they are begging for. Skopple automatically scans thousands of App Store, Google Play, and Reddit reviews to compile a structured Love / Hate Map of your competitors.

01

Extract Real Sentiments

We bypass vanity star ratings and extract high-intensity user feedback. You see exactly what users love and what drives them to leave 1-star reviews.

02

Uncover the Feature Gaps

If 100 users complain that a recipe app notes feature deletes notes, your MVP has a clear differentiator: build a bulletproof local-caching offline notes engine.

Live Analysis Output
sentiment_analyzer_v1.0.sh

Top Competitors Analysis

Target Product Concept: "Smoothie Recipe App"

Tropical Smoothie Cafe

Indirect · Ordering App
IOS | ANDROID4.9/5181.9K REVIEWSEXTREMELY HIGH SATURATION

Ordering app for a major smoothie chain with customization features.

LOVED FOR

"Users love the convenience of ordering ahead and earning rewards" [APP STORE]

HATED FOR

• "App lacks options for 'light ice' or 'double blend' customization" [APP STORE]

• "Frequent payment method declines and slow checkout process" [APP STORE]

• "No option to substitute plant-based meats in the app" [APP STORE]

500+ Healthy Smoothie Recipes

Direct · Recipe Database
ANDROID4.5/57.8K REVIEWSHIGH SATURATION

Large database of smoothie recipes categorized by health goals.

LOVED FOR

• "Users appreciate the categorization by health goals like weight loss or Keto" [PLAY STORE]

• "Shopping lists are automatically categorized by the specific smoothie" [PLAY STORE]

HATED FOR

• "Numerous spelling and grammar mistakes throughout the app" [PLAY STORE]

• "Calorie content is missing for many recipes" [PLAY STORE]

• "Notes saved on recipes often disappear the next time the app is opened" [PLAY STORE]

Interactive Preview

Inside a Skopple Intelligence Report

Experience the depth of insights Skopple generates. Below is the actual live dashboard of a fully researched product (from our traveler menu scanner template). Click the tabs and sub-sections to explore.

Market Opportunity

How crowded the space is and where the opening is for you.

RESEARCH COMPLETE
Saturation

Medium

Differentiation

Moderate

Switch Incentive

Medium

Problem Severity

Moderate

ARCHITECT'S READ

The market is currently experiencing a surge of AI-powered menu scanners (e.g., Menu Explain, What2Eat) launched in late 2024, indicating a 'Heating Up' phase. While the core problem of 'text-only menus' is well-addressed by these new entrants, differentiation is possible through deeper integration with dietary health or offline capabilities for travelers. The silence in the graveyard suggests no major high-profile failures yet, but the silence in timing signals indicates the niche is still in its early adoption phase for AI-specific solutions.

Timing SignalHEATING UP

This is an ideal time to build, but the window for a 'generic' scanner is closing. Success now requires a focus on specific user niches like health-conscious diners or extreme travelers.

Evidence

Multiple AI-powered menu scanners (Menu Explain, What2Eat, Cibo) have launched or gained traction in late 2024 and early 2025. The technology for real-time OCR and image generation/retrieval is now mature enough for consumer-grade apps.

THE FINAL SPECIFICATION

The Perfect Blueprint for Coding Agents

Skopple is not just another analysis tool. After a careful, interactive conversation with the Skopple Architect to scope your features and resolve competitor gaps, the engine outputs high-fidelity, build-ready markdown specifications.

These are not generic summaries. They are hyper-precise technical specifications, user flows, database schemas, and design systems. You can literally drag and drop or copy-paste these specifications straight into Cursor, Windsurf, or Claude to build your entire application instantly.

Complete Product Brief & Spec

Clear scope boundaries, feature lists, and MVP definitions to prevent AI agent loop issues.

DB Schema & SQL Migrations

Ready-to-run Postgres SQL tables, types, and permissions that coding agents can apply immediately.

Design System Specifications

Exact UI spacing, HSL color tokens, typography rules, and interactive states for pixel-perfect coding.

Deliverable Panel
skopple_deliverable_pack.tar.gz
📁 project_brief/
📄 product_spec.md
📄 database.sql
📄 design_brief.md
📄 user_flows.json
Export Target
⚡ CLAUDE CODE
⚡ CODEX
⚡ ANTIGRAVITY
⚡ CURSOR
⚡ WINDSURF
product_spec.mdBUILD-READY
# SPECIFICATION: SQUATTRACKER MVP
## Core Features
1. No-Login Guest Mode (Instant Access)
2. Offline OCR Scan Engine
3. Red-Highlight Allergen Warnings
## Database Schema (PostgreSQL)
CREATE TABLE public.user_limits (
  id uuid PRIMARY KEY DEFAULT ...
  credits integer DEFAULT 10
);
Core Capabilities

Deep Build Intelligence

Graveyard Analysis

Learn from dead projects. We extract failure patterns from App Store ratings and Reddit complaints so you don't repeat them.

Sentiment Mapping

We analyze competitor reviews to surface feature gaps, pricing frustrations, and high-intensity user complaints.

Market Pulse

Ongoing competitive intelligence. Receive automated alerts on new competitors, pricing changes, and market shifts.

Spec Generator

Export clear, detailed markdown specifications and user flows directly into Claude, Cursor, or Windsurf to start building.

Credit-Based Pricing

No subscriptions. No hidden fees. Pay only for the research and build tasks you run.

Signup Bonus
10 Credits/free

Free for all new accounts. Test the engine immediately.

Covers 1 Deep Market Research Scan (10 cr)
Generates full market report sections
Explore the angle, competitors & timing
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Access to all premium tools
Full Markdown & PDF spec exports
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Credit Action Cost Guide

Market Research

10 Credits / scan

Product Spec

4 Credits / spec

Design Tech Brief

4 Credits / brief

Market Pulse Scan

3 Credits / scan

Refine Section

2 Credits / action

AI Chat Query

1 Credit / message

Skopple

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