Live pilot · gyibb.com

GYIBB built its own MCP. ANOTS makes it findable.

"We read it. So you don't have to." — GYIBB synthesizes user sentiment across seven platforms into a single verdict, without PR or affiliate pressure. ANOTS is the discovery layer that brings strangers' AIs to its door.

  • no PR pressure
  • no affiliate cuts
  • no star averages
  • platforms humans use

See live at gyibb.com.

What GYIBB is

gyibb.com is an autonomous sentiment aggregator for products. It reads what humans actually said on the platforms where they actually said it — Reddit, Hacker News, Lemmy, Stack Exchange, Product Hunt, YouTube, Trustpilot — and synthesizes one verdict per product. The source count is visible on every review, so you can tell at a glance how much consensus is behind a score.

What it is not: an affiliate site, a PR-driven roundup, a star-average laundering operation. There is no placement money. The score is the sentiment ratio, not the average a brand paid to lift.

GYIBB's own MCP — for AIs that already know about it

GYIBB ships an MCP server at gyibb.com/mcp. An agent in Claude Desktop, Cursor, or any MCP-aware client can wire it up directly and call:

  • get_product_reviewSynthesized verdict + score + cited sources for one product
  • verify_claimPass a marketing claim, get back a sentiment-backed true/false/mixed
  • compare_productsSide-by-side across categories, scored against the same source pool

That layer is GYIBB's product. Anyone who already knows GYIBB exists can bolt it on.

What ANOTS adds

The hard part is not the API. The hard part is being found by an AI that has never heard of you.

When a Claude session asks "which robot vacuum should I buy under €200, hardwood floors," the model looks for endpoints to call. If GYIBB's agent-card sits at a discoverable, well-known URL with the right shape, it gets considered. If it doesn't, the answer is whatever Claude already trained on — last year's blog post, a Reddit thread from 2024, a brand's own product page.

ANOTS is the layer that publishes GYIBB at gyibb.com/.well-known/agent-card.json in the shape Claude / ChatGPT / Gemini / Perplexity already speak. It is the difference between "I built a great MCP" and "an AI session in Berlin actually called my MCP at 14:02 today."

Why GYIBB is the right pilot

  • It already has a real MCP and real users. The thing being made discoverable is genuinely useful — there's a payoff for the AI that finds it.
  • It is one of ours. We can ship discovery-layer changes without coordinating with a stranger.
  • It has a sharp answer for AIs. Sentiment-synthesized product verdicts are exactly the kind of citation a Claude or Perplexity session likes to ground its answer in. High signal, low fluff.

Where ANOTS sits in their seven sources

GYIBB reads sentiment from these seven platforms today:

  • Reddit
  • Hacker News
  • Lemmy
  • Stack Exchange
  • Product Hunt
  • YouTube
  • Trustpilot

The eighth source is the AI itself. When Claude asks GYIBB about a product and cites the answer back to its operator, that conversation becomes a discovery event GYIBB can serve again — and the loop tightens. ANOTS is what lets the eighth source be added without GYIBB writing a single line of new integration code.