Startups - @builtwithgenai

Provides structured access to a curated Airtable database of AI-powered startups with filtering, sorting, and search capabilities across multiple dimensions (founder, funding stage, category, technology stack). The database uses Airtable's relational schema with linked records, attachments, and formula fields to organize startup metadata and enable multi-faceted discovery without requiring custom backend infrastructure.

Enables complex filtering across multiple Airtable fields simultaneously (category, funding stage, technology, geography, founder background) using Airtable's native filter UI with AND/OR logic. Filters are applied client-side in the browser, allowing real-time refinement without server round-trips, and can be saved as persistent views for repeated use.

Aggregates heterogeneous startup data (company name, description, founder info, funding amount, technology tags, website links, social profiles) into a normalized Airtable schema with consistent field types (text, number, select, linked records, URLs). The curator manually researches and enters data, with Airtable's validation rules and linked record relationships ensuring data consistency across the database.

Organizes startups using Airtable's select/multi-select fields for categories (e.g., 'LLM', 'Computer Vision', 'Agents', 'Code Generation'), enabling hierarchical and cross-cutting classification. Linked record fields allow startups to be associated with multiple categories, technologies, and problem domains, supporting both taxonomy-based and faceted navigation.

Provides read-only public access to the startup database via Airtable's shared view feature (URL-based access without authentication), allowing anyone with the link to browse, filter, and search the data. Access is controlled at the view level — the curator can choose which fields to expose and which records to include, while preventing modifications or access to sensitive data.

Models relationships between startups, founders, investors, and technologies using Airtable's linked record fields, enabling graph-like queries across entities. For example, a startup record can link to its founders, investors, and technology categories, allowing users to explore the network (e.g., 'which startups were founded by this person' or 'which investors backed multiple startups in this category').