This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Scan any store free: 29 checks across structured data, agent access, feeds and ACP · Google UCP · MCP discovery. Letter grade + prioritized fixes in seconds. No email needed for the score.
👋 Hi Product Hunt!
We're excited to introduce AgentReady, an open-source initiative by MnT Future.
As AI agents become a new channel for discovery and commerce, many websites are still designed only for human users. AgentReady helps developers and businesses prepare their websites for the agentic web by implementing emerging best practices, making it easier for AI agents to discover, understand, and interact with web applications.
We decided to make AgentReady open source because we believe AI-ready web standards should be accessible to everyone. The ecosystem is evolving quickly, and community collaboration is the best way to build practical, interoperable solutions.
As part of the MnT Future team, I'm excited to share this launch with the Product Hunt community and hear your feedback.
A few questions for you:
* What challenges are you facing in building AI-agent-ready applications?
* Which protocols, standards, or integrations would you like to see next?
* How do you see AI agents changing the way users interact with websites?
We'd love your feedback, feature suggestions, and contributions. If you find AgentReady useful, we'd really appreciate your support with an upvote and a ⭐ on GitHub. Thank you for checking us out! 🚀
Scanned a shopify store I manage and the letter grade was spot on, the agent access checks were eye opening. Fixed two feed issues in under ten minutes.
The scan results look solid, but it would help a lot if you could save a snapshot of the report or generate a shareable link without needing to sign up. That way I can send it straight to a dev or client instead of copying numbers into a doc.
would love to see a "compare to competitor" feature where you can run the scan against two store URLs side by side to see where they differ on agent readiness. that would make it way more useful when pitching improvements internally.
Scanned our Shopify store and the 29 checks flagged a couple of feed issues we had been ignoring for months. The prioritized fix list was genuinely useful, not just a generic audit dump.
Scanned a few shops and the agent readiness checks caught a couple of feed issues I had no idea about. Nice to get a grade and clear fix list without having to hand over my email first.
About MnT Future Agent Ready on Product Hunt
“Is your store invisible to AI shopping agents?”
MnT Future Agent Ready was submitted on Product Hunt and earned 9 upvotes and 6 comments, placing #137 on the daily leaderboard. Scan any store free: 29 checks across structured data, agent access, feeds and ACP · Google UCP · MCP discovery. Letter grade + prioritized fixes in seconds. No email needed for the score.
MnT Future Agent Ready was featured in Open Source (68.6k followers), E-Commerce (41.7k followers) and Tech (628.3k followers) on Product Hunt. Together, these topics include over 197.2k products, making this a competitive space to launch in.
Who hunted MnT Future Agent Ready?
MnT Future Agent Ready was hunted by Syed Asrar Ahmed. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how MnT Future Agent Ready stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Syed Asrar Ahmed