Emmanuel . Fetchproof by Vaqeno @Fetchproof

Founder of Fetchproof by Vaqeno. See what AI agents actually get when they read your website, as fetched. Free check at the link. (Formerly AgentReady) fetchproof.vaqeno.com/?cid=XP01 Joined October 2026

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

2 days ago

Sources: Meta's Q3 earnings call, 21 Oct, via TechCrunch: finance.yahoo.com/technology/ai/… Universal Cart, Search Engine Roundtable, 15 Oct: seroundtable.com/universal-cart…

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

2 days ago

Same free check, new name. Old links still work. See what agents get from your site, or a competitor's, in under a minute: fetchproof.vaqeno.com/?cid=XP03

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

2 days ago

AgentReady is now Fetchproof. Meta says its Muse agent passed 10 million users in about six weeks, and purchases made through it average over $200. Google's Universal Cart is live in US Search and Gemini. We show what those agents get from your homepage, as fetched.

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

a week ago

Sources: Muse figures from Sensor Tower via 9to5Mac (30 Sep) and Bloomberg (21 Sep). TikTok: TechCrunch (5 Oct). Amazon: Adweek (21 Sep). Cloudflare: 2026 founders' letter. Full results and method: agentready.vaqeno.com/fortune-500?ci…

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

a week ago

All 500 companies, homepages only, read the way many agents read them (no JavaScript), one date, no companies named. Check what agents see on your site, or a competitor's, free, in under a minute: agentready.vaqeno.com/?cid=XP02

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

a week ago

Meta's Muse, an AI agent that shops, books and fills in forms for you, became the No. 1 free app on the US App Store last month and passed 5 million downloads faster than ChatGPT did. Consumers are ready. Most businesses aren't. 🧵

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

a week ago

@TerresMich8676 Apt

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

3 weeks ago

@glenngabe Variable pricing assumes the site can tell agents from humans. The more basic question is whether the agent can tell what the product is. Plenty of pages state it only in ways a person can read.

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

3 weeks ago

@glenngabe Does the assistant recommend from merchant catalog feeds, or does it read brand sites directly? That answer decides which brands get surfaced.

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

3 weeks ago

@haakamaujla @agentmail Sign-in for agents is a smart layer. The step before it is the agent deciding your app is worth signing in to, and it makes that call from what it can read on your site.

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

3 weeks ago

@hiarun02 Identity is half of it. The other half is legibility. Once agents are users, they also have to be able to read you: who you are and what you sell, in a form they can parse.

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

3 weeks ago

@MarkTbuilds Agentic commerce starts one step before the payment. The agent first has to understand what a store sells. For a lot of sites that step is still a wall of text.

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

3 weeks ago

@lennysan @thsottiaux Notion's flood was visible because it was an MCP server. Most agent traffic will be quieter: plain fetches of homepages and product pages.

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

3 weeks ago

@lennysan @thsottiaux If most actions are taken by agents, a homepage has a new reader. Humans skim it, agents parse it. Most sites are still built for the first reader only.

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Emmanuel . Fetchproof by Vaqeno @Fetchproof

3 weeks ago

@a16z Travel and shopping rank second and third, and both start with an agent reading a business's website. Worth asking what it finds there. (Your note is right that these are mentions, not completed use.)

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Y Combinator @ycombinator

3 weeks ago

Gumloop (YC W24) is building a platform that lets employees across a company build and share AI agents, while giving IT control over the data, permissions, and infrastructure behind them. Today it’s used by companies including Shopify, Gusto, and Instacart to automate work across sales, customer success, operations, and more. In this fireside, @gumloop co-founders @MaxBrodeurUrbas and @rbehal1729 joined @gustaf to share how they built Gumloop before models were ready for agents, then found product-market fit as the technology caught up. They talk about landing early enterprise customers, making companies AI-native, and why the people closest to the work should be the ones automating it. 00:00 — The AI Agent Builder for Every Team 03:38 — From Workflow Automation to Enterprise AI 07:20 — What It Takes to Win Enterprise Customers 11:02 — How the Founders Met and Got Into YC 15:00 — How Gumloop Uses Its Own Agents 18:02 — Landing Shopify and Rethinking Pricing 21:23 — Fundraising and the Limits of Staying Lean 24:35 — Letting Employees Automate Their Own Work 27:43 — Building Agents Companies Can Control 31:23 — Getting IT to Say Yes