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Updated: 25 min 53 sec ago

Ask HN: Would you use an ESLint-like tool for SEO that fails your CI/CD build?

Sun, 02/08/2026 - 7:51am

I’m building Indxel — an open-source SEO infrastructure for developers (npm package + CLI + MCP server for AI agents). The core idea: SEO breaks silently. You delete a page, rename a route, forget an og:image — nothing tells you. Your traffic drops weeks later and you have no idea why. Indxel treats SEO like code quality. npx indxel check runs 15 validation rules against your pages (meta tags, Open Graph, structured data, canonical URLs, etc.) and gives you a score. npx indxel check --ci fails your build if something’s broken. It also crawls your live site, checks your sitemap against actual pages, verifies that referenced assets (og:image, favicon) actually return 200, and does keyword research via Google Autocomplete — all from the terminal. The MCP server exposes all of this to AI agents (Claude, Cursor) so they can audit SEO while working on your code. Stack: TypeScript SDK, Commander CLI, MCP protocol. MIT licensed. My question: is this a real pain point for you, or do you just fix SEO manually when you notice it? Would CI/CD integration change your workflow?

Comments URL: https://news.ycombinator.com/item?id=46933806

Points: 1

# Comments: 0

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Praise for Price Gouging

Sun, 02/08/2026 - 7:48am
Categories: Hacker News

Open source infra orchestrator agent clanker CLI

Sun, 02/08/2026 - 7:47am

Article URL: https://github.com/bgdnvk/clanker

Comments URL: https://news.ycombinator.com/item?id=46933786

Points: 1

# Comments: 0

Categories: Hacker News

Solving Soma

Sun, 02/08/2026 - 7:45am
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Show HN: WLM-SLP – A 0D-27D Structural Language for Multi-Agent Alignment

Sun, 02/08/2026 - 7:45am

Hi HN, I’m releasing WLM (Wujie Language Model) — a structural language for AI that treats meaning as geometry, tension, and boundary instead of tokens, narrative, or emotion. This release includes the Shadow Layer v1.1, a fully public, non‑executing architectural description of WLM. It exposes the dimensional structure and reasoning framework without revealing any protocol‑level execution logic. What WLM is WLM is not a model, dataset, or training method. It is a high‑dimensional structural protocol for: - reasoning - world modeling - subject/world separation - boundary formation - dimensional alignment It defines how meaning stabilizes across 0D–27D structural layers. What’s included in this release This release contains the public half of WLM: - Shadow Layer v1.1 The complete architectural outline of WLM. Non‑executing, safe, and version‑frozen. - 0–27D Dimensional Physics A separate repository describing the generative physics of structure: how worlds appear, how subjects stabilize, and how meaning emerges. Why release this The goal is to provide: - a transparent structural reference - a stable interface for research - a shared language for high‑dimensional reasoning - a foundation for alignment work that doesn’t rely on behavioral heuristics This is not a teaser or partial disclosure. It is the full public architecture. Links Shadow Layer v1.1: https://github.com/gavingu2255-ai/WLM-Open-Source/blob/main/... Dimensional Physics (0–27D): https://github.com/gavingu2255-ai/WLM-Paradox-Dimensional-Ph... Happy to answer technical questions about the architecture, dimensional stack, or structural reasoning model.

Comments URL: https://news.ycombinator.com/item?id=46933770

Points: 1

# Comments: 0

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