Appster: AI app discovery with a full stack content platform
Natural-language discovery across a catalogue of more than 2,700 apps, with semantic vector search, administration and programmatic SEO pages.
The product problem
People searching for an application do not always know its name or category. Appster lets them describe what they need in natural language. That experience requires a searchable catalogue behind the interface, alongside a way to administer the app data and expose useful catalogue destinations on the web.
The delivered scope
Appster indexes more than 2,700 apps with semantic vector search over an OpenAI-embedded catalogue. It includes a full admin panel and thousands of prerendered, programmatically generated SEO pages. Next.js, Supabase, TypeScript and Tailwind CSS form the application stack.
AI as one part of the product
The search capability sits inside a wider application: catalogue data, administration and public content pages all matter. A similar integration should be scoped around retrieval quality, content maintenance and the user journey, with acceptance criteria for the actual application rather than a model demo alone.
What shipped
A discovery platform combining semantic search across more than 2,700 apps, catalogue administration and programmatic content delivery.
Visit the project ↗Industry scopes for a new US project
Grant opportunity directory software
For US nonprofit networks and funding-information publishers maintaining sourced grant opportunities, reviewed status changes and search results aligned with the published catalog.
Grant opportunity directory software: scope and discovery questions →Conway, Arkansas · Multi-location business directories
For Conway directory publishers connecting natural-language service requests to maintained company records and distinct branch-specific information.
Conway, Arkansas · Multi-location business directories: scope and discovery questions →Stamford, Connecticut · Event-vendor discovery platforms
For Stamford event-platform teams connecting an event brief, maintained vendor specialties and a reviewed enquiry shortlist without implying confirmed availability.
Stamford, Connecticut · Event-vendor discovery platforms: scope and discovery questions →Cedar Rapids, Iowa · Coworking-space discovery platforms
For Cedar Rapids coworking-directory teams connecting plain-language workspace preferences to maintained space records and explicit amenity filters.
Cedar Rapids, Iowa · Coworking-space discovery platforms: scope and discovery questions →Durham, North Carolina · Recruitment catalogue discovery
For Durham recruitment-platform teams helping visitors discover published opportunities through natural-language search and explicit catalogue filters.
Durham, North Carolina · Recruitment catalogue discovery: scope and discovery questions →Spokane, Washington · Natural-language app-directory search
For Spokane software-directory teams helping visitors refine a natural-language request and understand the catalogue results it returns.
Spokane, Washington · Natural-language app-directory search: scope and discovery questions →Columbus, Ohio · AI directory publishing and administration
For Columbus AI-directory publishers giving editors a clear path from approved app records to public pages and the search index.
Columbus, Ohio · AI directory publishing and administration: scope and discovery questions →Washington · Software directories and AI discovery
For Washington software-directory teams connecting natural-language discovery, structured catalogue records and useful public detail pages.
Washington · Software directories and AI discovery: scope and discovery questions →
Nordic industry services
Service scopes for teams serving Sweden, Norway, Denmark and Finland, grounded in published work and proposed first-release checks.