Four steps. One platform.
Discover, define, build, and grow. Here's how each step works.
Discover
Find what to build
The discovery pipeline continuously monitors 18 real-time signal sources: Hacker News, Reddit, app store reviews, ProductHunt, GitHub Issues, Google Trends, and more. Raw signals get processed through a two-pass extraction that identifies problems people actually have and generates 2-3 solution variants per problem.
- •1,000+ signals analyzed per cycle
- •Two-pass extraction: problem identification, then solution generation
- •Evidence clustering across cycles flags recurring patterns
- •Every idea scored on a transparent 100-point rubric
- •Five scoring categories: market demand, monetization, competition, technical feasibility, solo viability
Define
Plan what to build
Before any code gets written, you define exactly what your app should be. The requirements phase generates a full product spec from the research data, then lets you refine it. Architecture decisions, user stories, tech stack choices, and 12 cross-cutting features are all evaluated for your specific app.
- •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
Build
Generate production-ready code
The build engine starts with a battle-tested 68-file template that handles 76% of typical app code: auth, payments, theming, analytics, offline sync. All pre-wired. The remaining 24% is what makes your app unique: onboarding flows, feature screens, services, and database migrations. Three to four generation 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
Grow
Launch and scale
Building the app is half the work. The growth engine handles the other half. App Store Optimization generates a keyword universe and optimizes every metadata field. Multi-channel outreach targets ProductHunt, Reddit, Hacker News, Indie Hackers, Twitter, and email. Platform-native content gets created and posted 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
Frequently asked questions
More about the pipeline and how it all fits together.
What is vibe coding?+
Vibe coding is the practice of building software by describing what you want in plain language and letting AI 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.
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 takes minutes. The bottleneck is deliberately the planning phase — getting the spec right before writing code is what makes the result worth shipping.
How does AI 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 AI extraction identifies recurring problems and generates solution variants. Each idea is then scored on a 100-point rubric covering market demand, monetization potential, competition, technical feasibility, and solo-founder viability. Only ideas above a threshold are surfaced as validated opportunities.
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.