Realtime AI Intelligence

Track the latest AI launches, releases, and policy shifts.

The Adaryus radar aggregates trusted feeds – Hugging Face, OpenAI, Anthropic, Hacker News, Reddit – and serves them with SEO-friendly markup ready for embedding or syndication.

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AI Launch Digest

Fresh AI stories filtered for builders and operators.

Sourced from Hacker News, Reddit’s r/MachineLearning, and optional NewsAPI queries. SEO-ready cards include meta descriptions and structured markup.

Model Releases

Latest Hugging Face uploads and trending open models.

Pull the newest models by last update time. Each card tracks likes, downloads, and library tags to inspire your next experiment.

Official Announcements

Policy updates and platform launches from OpenAI, Anthropic, and more.

Ingested through RSS feeds using free proxies, so you can deploy without standing up backend infrastructure.

Listen & Learn

Curated AI podcasts for deeper insights.

Queue up the best weekly roundups and technical deep dives covering applied AI, agent ops, and enterprise adoption.

Conversational Summary

Ask the radar for highlights tailored to your brief.

The on-page assistant ranks the aggregated feed and returns links you can action immediately.

Powered by free APIs. Extend with Dialogflow, Botpress, Flowise, or n8n webhooks.

Integration Playbook

Plug this feed into your stack without paid tooling.

Start with free APIs, then graduate to serverless workers or CRM automations as your needs grow.

Free API sampling

  • NewsAPI.org (developer tier) for broad AI headlines.
  • Hugging Face model endpoint for fresh releases.
  • Reddit JSON feeds – /r/MachineLearning, /r/LocalLLaMA.

RSS-only fallback

  • OpenAI Blog RSS for policy and product posts.
  • Anthropic newsroom feed for Claude updates.
  • arXiv cs.AI for fresh research drops.

Chatbot workflow

  • Dialogflow CX free tier with webhook to this JSON feed.
  • Botpress or Flowise to orchestrate search + summarisation.
  • n8n automation to cache headlines and push Slack alerts.

Scraping safety net

  • Use Python + BeautifulSoup with respect for robots.txt.
  • Host on Render or Replit for zero cost.
  • Embed the JSON output via iframe or edge function.