10x Recruiting Taste is the moat in recruiting: Scott Bianco on what AI cannot automate Hebbia's Head of Talent Scott Bianco on why AI exposes weak recruiters and makes great ones lethal, the doorman fallacy, and why taste only comes from reps.
Recruiting AI hiring platforms: how agentic recruiting tools enhance talent teams AI hiring platforms execute recruiting work end to end across sourcing, screening, interviews, and reporting. The line between agentic and AI-flavored, explained.
Recruiting What is vibe sourcing? A new playbook for AI-powered recruiting Vibe sourcing is the category name for AI-powered candidate discovery, where plain-English briefs and iterative agent feedback replace Boolean strings.
Recruiting Why being human is still an edge in hiring: Mike Moriarty on the Arsenal Pulse playbook Mike Moriarty: being human is still an edge. Recruiting as an operating function, candidate experiences that feel different, and the spousal-stakeholder close.
Recruiting Recruitment and retention strategies: why most retention problems are hiring problems The 90-day attrition number is a hiring quality leading indicator with a delay. Fix the interview rubric and the year-one retention number follows. The 2026 Alignment Report data on what actually moves it.
Recruitment technology in 2026: build for the decision layer, not the process layer Most recruiting stacks are wired for process, not decisions. Here is how to audit your tech stack against the 5-layer hiring funnel, find the decision-layer gap, and rewire layer 4 in 30 days.
Recruiting strategy Energy sector recruitment is a signal problem, not a sourcing problem: the 4 capture inputs that close specialized hires without breaking safety or compliance Energy hiring is slow because the handoffs between technical, safety, and operations lose signal, not because sourcing is hard. Here are the 4 capture inputs that close specialized hires safely and the 30-day rollout.
Recruiting 101 Net hire ratio is a retention problem, not a hiring problem: the 4 signal-layer levers that lift the metric without adding headcount Net hire ratio is structurally an attrition metric, not a hiring metric. Here are the 4 signal-layer levers that move it (without adding requisitions), plus a 7-day reset for next Monday.
Case studies How Workleap reduced screening time by 50% with Metaview See how Workleap reduced candidate screening time by 50% with Metaview. Learn how AI-powered application review helps recruiters move faster and identify stronger candidates.
Recruiting What we're cooking: Claude Code, MCPs, and AI Sourcing Siadhal Magos previews Metaview's MCP server, the AI Sourcing agent searching past conversations first, and a 45-minute Claude Code dashboard for recruiters.
Recruiting 101 Application completion rate: the metric is right, the fix is wrong Completion rate is a leaky-funnel diagnostic, but most teams fix it the wrong way. Here's the math, the trap, and the two-layer fix.
Case studies The Bowdoin Group: Scaling search without scaling headcount Bowdoin Group improved recruiter efficiency, streamlined documentation, and elevated client deliverables with Metaview. Learn how they scaled search without adding headcount.
Recruiting Build or buy? Why building internal AI recruiting tools may be harder than you think Build or buy AI recruiting tools? One agent is a weekend project. A full recruiting AI suite is a full-time product team. Here is the honest framework.
The ideal candidate profile is a capture problem, not a definition problem: how to keep an ICP alive from intake to offer The ICP is a capture problem, not a definition problem. Here is why static profiles drift in 30 days, the 5 jobs an ICP has to do, and the 7-step framework for keeping it alive from intake to offer.
Case studies Beyond gut-feel: How Deel scaled their hiring with Metaview Reports Discover how Deel uses Metaview Reports to improve interview quality, interviewer consistency, and long-term quality of hire.
Recruiting strategy Technical sourcing in 2026 is a calibration problem, not a Boolean problem: where the signal actually compounds Boolean strings and GitHub stars don't predict who passes your engineering bar. The signal that does lives in your past interviews.
Recruiting 101 Candidate scoring is an evidence problem, not a scorecard problem: the 4 components of a defensible rating Most teams treat candidate scoring like a paperwork problem. It is not. It is an evidence problem. Here are the 4 components of a defensible rating and a 14-day rollout.
Recruiting 101 Talent acquisition specialist in 2026: the operating model that turns schedulers into strategic partners What a talent acquisition specialist actually does in 2026: 6 surviving responsibilities, the layer AI owns, 4 skills that compound, the career path that splits, and a 5-step operating model that takes the role from scheduler to strategic partner.
The most powerful agent for inbound recruiting Application Review is the closed-loop screening agent: it reviews 100% of inbound applicants against your team's living ICP rubric, learns from every interview your team runs, and syncs decisions to seven ATSes. Generally available.
Recruiting 101 The 9/80 work schedule: how TA leaders use it to win offers A TA leader's primer on the 9/80 work schedule. The mechanics are simple. The decision around when to offer it is where the lift lives.
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.
Recruiting tools Your recruiting dashboard has an interview-shaped hole in it: the layer your ATS can't fill Most recruiting dashboards report what the ATS already knows. The interview layer, the why behind every yes and every no, is the gap that closes the loop.
Recruiting tools Claude for recruiters: how agentic AI tools unlock modern talent teams Discover how recruiters can use Claude and agentic AI tools to automate workflows, analyze interview data, and improve hiring decisions. Learn how MCP integrations connect Claude directly to recruiting systems.
Case studies How Elara Caring saved 50% of recruiter time on screening calls with Metaview Elara Caring reduced recruiter admin time by 50% and improved screening quality with Metaview. Learn how structured AI-powered screening transformed their recruiting workflow.
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.
