FOUR STEPS. ONE PLATFORM.
From idea to App Store in four steps
Submit an idea. The pipeline researches the market, builds a spec, writes the code, and launches the marketing. You step in at the key decisions and step away for the rest.
THE PIPELINE
Four steps, end to end
Each step hands off to the next automatically. The interactive demos below show the actual artifact produced at each stage.
Discover
The pipeline monitors 18 real-time sources — Reddit, Hacker News, app stores, GitHub Issues, Google Trends, and more. A two-pass extraction identifies real problems and scores every idea on a transparent 100-point rubric before you commit a single line of code.
Define
The requirements phase turns validated research into a complete product spec: user stories, architecture, tech stack, and 12 cross-cutting features, all evaluated for your specific app. You review and refine every decision before the build starts.
Build
The build engine starts from a battle-tested template covering auth, payments, theming, analytics, and offline sync. Then 246 production-grade features snap in to make your app unique. Three to four focused passes, not seventy.
Grow
After launch, the growth engine runs ASO across 100+ keywords, schedules platform-native posts for ProductHunt, Reddit, Hacker News, Twitter, and email, and feeds performance data back into the next cycle automatically.
Idea Score
Meal Planner for Allergies
87Autonomous Pipeline
Continuous loop
Build Queue
Meal Planner for Allergies
Plan
Generate
Deploy
1 / 3 stages complete
Included Features
Template features wired at build time
246 total features in the template
STEP 01 · DISCOVER
Find what to build
Discover
The pipeline monitors 18 real-time sources — Reddit, Hacker News, app stores, GitHub Issues, Google Trends, and more. A two-pass extraction identifies real problems and scores every idea on a transparent 100-point rubric before you commit a single line of code.
- 2,500+ ideas scored and ranked to date
- Two-pass extraction: problem identification, then solution generation
- Evidence clustering across cycles flags recurring patterns
- Every idea scored on a transparent 100-point rubric
- Four core dimensions: market opportunity, competitive landscape, buildability, monetization, plus solo-viability and novelty bonuses
STEP 02 · DEFINE
Plan what to build
Define
The requirements phase turns validated research into a complete product spec: user stories, architecture, tech stack, and 12 cross-cutting features, all evaluated for your specific app. You review and refine every decision before the build starts.
- Full PRD generation from research data
- Two-pass architecture: UX-focused pass + technical pass
- 12 cross-cutting features evaluated per app (dark mode, offline, push notifications, etc.)
- User story mapping with priority indicators
- You review and refine everything before the build starts
Users need a focused timer that blocks specific apps during work sessions
React Native + Expo / Supabase / RevenueCat
STEP 03 · BUILD
Generate production-ready code
Build
The build engine starts from a battle-tested template covering auth, payments, theming, analytics, and offline sync. Then 246 production-grade features snap in to make your app unique. Three to four focused passes, not seventy.
- 246-feature template across 22 categories
- Open-source stack you fully own
- 3-4 generation passes, optimized for speed
- Auth, payments, dark mode, offline, analytics baked in
- Quality gates: checks + human review before testing
Auth, payments, offline, analytics + your screens and services
STEP 04 · GROW
Launch and scale
Grow
After launch, the growth engine runs ASO across 100+ keywords, schedules platform-native posts for ProductHunt, Reddit, Hacker News, Twitter, and email, and feeds performance data back into the next cycle automatically.
- ASO: 100+ keywords, metadata optimization, category selection
- 8 outreach channels with platform-specific content
- Automated social posting (14+ posts/week)
- Analytics-driven iteration loop
- Performance data feeds back into the next content cycle
FAQ
Frequently asked questions
Q · How it works
What is vibe coding?
Vibe coding is the practice of building software by describing what you want in plain language and letting automation generate the code. It lowers the barrier to entry significantly, but it typically stops at the code itself, leaving founders to figure out what to build, whether the idea has demand, and how to get users after launch. Goodspeed goes further: the pipeline covers idea validation, planning, code generation, and growth, so you are not just vibing toward code but toward a product with real market fit.
Q · How it works
What is the fastest way to build a mobile app?
For a production-ready mobile app, the fastest path is an automated pipeline that handles the repeatable parts: scaffolding, auth, payments, analytics, and App Store configuration. Goodspeed generates a complete React Native app from a 68-file battle-tested template, adding only the screens and services unique to your app. Code generation is the fast part. The bottleneck is deliberately the planning phase: getting the spec right before writing code is what makes the result worth shipping.
Q · How it works
How does Goodspeed discover profitable app ideas?
Goodspeed monitors 18 real-time signal sources including Reddit, Hacker News, app store reviews, ProductHunt, GitHub Issues, Google Trends, and G2/Capterra. A two-pass automated extraction identifies recurring problems and generates solution variants. Each idea is then scored on a 100-point rubric across four core dimensions: market opportunity, competitive landscape, buildability, and monetization, with solo-founder viability factored in as a bonus. Only ideas above a threshold are surfaced as validated opportunities.
Q · How it works
What happens after my app is built?
The growth engine kicks in. App Store Optimization generates a keyword universe of 100+ terms and optimizes every metadata field for discoverability. Multi-channel outreach creates platform-specific posts for ProductHunt, Reddit, Hacker News, Indie Hackers, and Twitter. The social engine produces and schedules platform-native content automatically. Performance data feeds back into the next cycle, so the marketing gets smarter over time.