{
  "id": 4187262,
  "title": "Introducing Toondash — The Headless Query & Mutation Engine for High-Performance AI Data Streams",
  "url": "https://urgent.news/2026/08/29/introducing-toondash-the-headless-query-mutation-engine-for-high",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-29T12:06:30.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/ayushsrtv/introducing-srtvtoondash-the-headless-query-mutation-engine-for-high-performance-ai-data-2478"
  },
  "original_language": "en",
  "account": null,
  "summary": "Surprise! 🎉 I’m releasing a new data utility library today. Meet @srtv/toondash — a clean, declarative, and framework-agnostic set of utilities built to query, slice, and transform data payloads directly on the wire without full object inflation overhead. The Problem When you pass large structural datasets (like user lists, analytics logs, or product catalogues) into an LLM context window,…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}