Pre-launch problem: AIOProductOS. This week third-party scores solved it for me. AMA

byโ€ข

Hey PH ๐Ÿ‘‹

I'm building () โ€” a product operating system where every customer is one record joining revenue, feedback, work, and code, and AI teammates work the board like colleagues.

The pre-launch problem every maker knows: your quality claims are worthless because you wrote them. "Blazing fast," "AI-native," "developers love it" โ€” all noise until someone who isn't you says it.

This week I got my first outside grades. Glama (the largest MCP server directory โ€” it indexes 20K+ servers and scores how well AI agents can actually use each one) tested ours on both of its surfaces:

โ†’ Server scorecard: A license ยท A quality ยท B maintenance

โ†’ Tool-definition quality: A, 4.4/5 โ€” tool descriptions averaging 4.5/5 across all 39 tools

What made it actually useful, not just a badge: the first test came back 3.9 with a per-axis breakdown showing exactly which tools were weak. We rewrote every tool description against their rubric, republished, and the same-day re-test came back 4.1. A neutral grader + a fast fix loop beat weeks of my own polishing โ€” and now the score sits on our site pulled live from their badge, so it keeps us honest going forward. If it drops, everyone sees it drop.

The scores live here if you want to poke at them:

Question for other makers: what do you use as third-party proof before launch, when you have no review count and no logos? Directory scores, security audits, Lighthouse numbers, something else? Building the credibility layer from zero is turning out to be its own product.

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