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React-like Declarative DSL for building synthetic LLM datasets

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HN · launched Nov 3, 2025 · 10 upvotes (top 48%) · 0 views

Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial While prompting LLMs to generate synthetic data is simple, creating a declarative React-like DSL with a custom reconciliation tree and generation graph requires specialized compiler/DSL design.

What it would actually take: The architecture requires creating a JSX/declarative AST interpreter (or custom compiler) that schedules asynchronous LLM calls as node evaluations in a dependency DAG. It also requires batching, caching, topological sort execution, and constraint validation over structured outputs (such as instructor or Zod), necessitating compiler design and distributed task pipeline experience.

Discussion

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Competitors

Other products that read as similar to this one : 2722 launches clear the similarity bar, closest 8 shown.

Attention rank: #1293 of 2723 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 5 days after the earliest competitor.

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