Inside Metaview Why MCP belongs in your recruiting stack (& what we built) MCP went from niche to default in six months. Here is what it does, why your hiring data is the context your AI assistant can't reach, and the MCP server we built across Notes, Reports, and Sequences.
Product updates June 2026: Sourcing updates, ChatGPT app, WhatsApp outreach & more Discover the latest Metaview updates, including referral sourcing, ChatGPT integration, WhatsApp sequences, in-person recording, and more.
Product updates May 2026: Sourcing updates, ChatGPT app, WhatsApp outreach & more Discover the latest Metaview updates, including referral sourcing, ChatGPT integration, WhatsApp sequences, in-person recording, and more.
Product updates Superpowered recruiters don't automatically mean superpowered recruiting. AI is already creating superpowered recruiters. The next frontier is turning that productivity into better hiring outcomes across the entire company. That’s what Metaview is building.
Product updates April 2026: Catch candidate fraud and source smarter Discover Metaview's latest product updates, including automation fraud detection, easier LinkedIn sourcing, and smarter hiring overall.
Inside Metaview MCP for interview data: Connect Claude (& more) with Metaview Metaview now supports the Model Context Protocol (MCP), letting tools like Claude query your interview reports directly so you can analyze candidates, interviews, and hiring funnels with natural language.
Product updates Metaview's AI Notes understand technical interviews AI Notes auto-detect coding and system design interviews and use what's on screen, including code, debugging steps, and architecture diagrams, to generate summaries that reflect what was built, not just what was said.
Inside Metaview Recruitment ROI is a measurement problem, not a math problem: the 4 inputs that turn hiring into a P&L line Recruitment ROI is a measurement problem, not a math problem. Here are the four inputs that turn hiring into a P&L line and how to instrument each one in 30 days.
Inside Metaview Stop chasing interviewers for scorecards, Greenhouse autofill is live Stop chasing interviewers for scorecards. Greenhouse autofill pulls structured fields from the interview straight into the scorecard form.
Inside Metaview New capital. Same mission: better hiring, powered by AI Metaview just raised $35M from GV. The bet is interview intelligence as a category. Here is what the raise actually buys: four AI agents on one signal layer, the trust posture under them, and the customer outcomes already in play.
Inside Metaview Fresh capital to build AI that radically enhances hiring. Two years after the $7M Series A from Plural, Metaview has raised a $35M Series B led by GV. This is the retrospective on what the AI-first hiring bet compounded into: a four-product platform, 3,000+ customers, and 3 million+ conversations captured.
Inside Metaview We've raised a $6M seed to power People decisions with truth. Today we announce our $6M seed, led by Jonathan Heiliger of Vertex Ventures US. Mission: power People decisions with truth, starting with the ambient data from interviews.
Inside Metaview 🎙Podcast: Our Co-founder and CEO, Siadhal Magos, appears on Venture Stories I've been a long-time listener to Village Global [https://villageglobal.vc]'s Venture Stories podcast, so I was excited when they invited me on to talk
Inside Metaview 📺 Video: Metaview CEO talking team building 🧱 I'm a big fan of Scede's Scaling So Far speaker series. They've had some really terrific, insightful guests on in the past (including some
