Metaview

The secret to candidate outreach people actually reply to? ✔️ Context that proves you've done your homework ✔️ Personalized messages that sound human That’s what fillmore can do. Don't take our word for it. Hear it from real candidates. 👇

Eight years ago, Shahriar and I started Metaview (see photo 😱). We came from product and engineering at Uber and Palantir. And had grown accustom to having windows in the office. At Uber I spent about a quarter of my time interviewing candidates. And the thing that kept nagging me was that the company generated thousands of hiring conversations a year, and almost all of that signal evaporated the moment each call ended. Recruiters held context in their heads. Hiring managers forgot what they'd learned three interviews ago. Nothing connected the stages, or the different hires being made across the company. Everyone told us hiring was a people problem. But the people were fine. The good recruiters and sharp HMs were already in the building. What was missing was the system that makes their judgment compound: the one where the next hire is made faster and better because of everything we learned from what came before. Eight years in, it's still the most interesting problem I've encountered.

National Training Week: Investing in Our People As part of National Training Week, Talent Acquisition team at DayOne got hands-on with Metaview — diving deep into how AI-powered recruiting intelligence can sharpen the way we hire. A few takeaways from the session that I'm excited to bring back to my day-to-day: ✅ Structured interview data isn't just "nice to have" — it's the foundation for fairer, faster, more consistent hiring decisions ✅ AI tools like Metaview free up recruiters to focus on what humans do best: building relationships and reading between the lines ✅ The future of TA isn't about replacing judgment — it's about giving our team better signal to make smarter calls At DayOne, we believe great hiring starts with great tools and a team that never stops learning. #MakeYourMark #DayOneCareers #LifeAtDayOne Amanda L. Marga O. Niki Ng 黄麗清 Lisa Liew Karlström Caris Soo Leon Seth Kenneth Lee Fatin Najibah Ghazi (she/her) Rubini Palakrisnan Bhagteesh Kaur Sofia M Hazreen Halim Mahadhevan Pathmanathan Jack Ni Amirah M. Kuan Galileans Szen Chew

New office challenge: Pitch Perfect. 🎤

I get to do one of my favorite things next week: nerd out on the most complex recruiting problems we all face! Elyse Bogdan and I are going live with a real role. Using only Metaview, we'll go from a blank slate to a calibrated search built on market intelligence and how your team actually hires: things like the target talent pool, the teams and career paths that produce the right people, the exclusions that prevent false positives, and the signals that shape who to approach. That prep used to take weeks. Now it's minutes, and the search gets more precise with every piece of feedback. We'll walk through how to apply all of this to your own roles! We'll share a resource library afterward with the prompts and workflows we use, ready for you to build on. We'll also cover how to save this to your knowledge center and share it with your team. It's free, unscripted, and I'd love to see you there! Wednesday, July 29th 9am PDT / 5pm BST Link in the comments

The summer of shipping continues. ☀️ We've got a stack of new sourcing updates, from faster searches to smarter collaboration. Swipe to see what's new. 👉

Most recruiters jump straight into sourcing. 🏃 Lorenzo Casanova has spent years honing his approach to technical recruiting, first as a Metaview customer at Luma AI and now on our team. His rule? Understand the market before you search it. Join Lorenzo and Elyse Bogdan (Training & Education Lead) live as they map a real talent market, from competitor landscape and talent density to ICP calibration, before building a search from scratch. 🗓️ Wed, July 29 @ 5pm UK / 12pm EDT / 9am PDT Save your spot with the link in the comments. 👇