Show HN: FastBack end – schema-first back end runtime with OpenAPI output
FastBackend is a tool designed to automate backend development by generating a framework-agnostic intermediate representation (IR) from a database schema. It allows developers to focus on custom business logic while handling the repetitive tasks of CRUD operations and API generation. The system supports multiple runtime adapters, enabling integration with various frontend frameworks through OpenAPI specifications.
- ▪FastBackend automates approximately 90% of backend work, including CRUD operations and OpenAPI generation from database schemas.
- ▪The tool provides a schema-first pipeline where the database schema serves as the source of truth for generating the intermediate representation and REST API.
- ▪FastBackend currently offers runtime adapters for FastAPI and Express, allowing developers to write custom code only for specific business logic.
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Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/darula-hpp/fastbackend |
| Publication time | Tue, 19 May 2026 19:00:28 +0000 |
| Retrieval time | 2026-05-19T19:04:57.948Z |
| Last seen | 2026-05-19T19:04:57.948Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | mLooNJjrxnfy |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
FastBackend FastBackend automates the repetitive ~90% of backend work: CRUD, relationships, validation, filtering, and OpenAPI from your database schema. You write custom code only for business logic — overrides and custom routes for the 10% that matters. Schema → framework-agnostic IR → runtime adapter (FastAPI or Express) → REST + OpenAPI. The IR is not tied to a backend framework. The OpenAPI output is not tied to a frontend framework. Vision Most backend work is predictable once you have a schema. The other part — custom business logic, integrations, auth flows, microservices, and one-off endpoints — is what makes your product unique.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.