Vorno
Vorno2About
What does Vorno do?
Vorno is a macOS desktop app designed for AI coding and knowledge agents. It provides a multi-session inbox, a document-centric workflow, and seamless connections to APIs, MCP servers, and local files. The app allows users to run agent sessions in parallel, keep long-running work organized, and integrate agents with various data sources like email and calendars. It also supports server deployment, remote access, and automation.
What is Vorno's Effective Domain Rating?
StartupHub's Effective Domain Rating for Vorno is 29 out of 100, measuring real cross-surface visibility in search engines and AI answers rather than claimed link authority. That is underrated against its Ahrefs Domain Rating of 0, meaning it surfaces in search and AI results more than its claimed authority alone would suggest.
Is Vorno trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Vorno is 26 out of 100, based on site security posture and privacy practices.
When was Vorno founded?
Vorno was founded in 2026.
What industry does Vorno operate in?
Vorno operates in AI Coding Assistant, AI Agent, Developer Tools, Workflow Automation, macOS App, Generative AI.
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An entrant is a company tagged AI Coding Assistant whose domain was first registered in the window, counted from registry records in the StartupHub directory. 15 of them registered in the last 30 days. Registry detection runs two to three weeks behind registration, so recent weeks are a floor.
How well an AI agent can read and use this site: structured data, clean markup, and whether key facts are reachable without running JavaScript. We scan the live site.
Scan this site yourselfOur own read on real cross-surface visibility rather than raw backlink authority. A site can carry a high Domain Rating and still be invisible where people actually look, which is what this measures.
Run the eDR checkWhether this company is a safe place to put your data: security posture, privacy signals, and reputation evidence we could verify.
Star ratings come from visitors, one per person per profile, and are shown exactly as given: we do not weight, curate or filter them. Reviews are published in full alongside the rating that accompanied them.
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