Ask your agent who to hire
Hiretea ships an MCP server. Point Claude Desktop or Cursor at your workspace and it reads candidate snapshots and pipeline triage on demand, doing exactly what the token's scopes allow.
See the person. See the work. Make the call.
Your entire technical hiring process, from first application to final offer.
Q3 · Multiple choice · auto-scored
Which retry policy keeps a failing dependency from stampeding?
export async function retry(task) { for (const delay of backoff) { try { return await task(); } catch { await sleep(delay); } }}Every application lands on a connected candidate record and never leaves it. The work, the conversations, and the judgment all stay attached: that is the whole product.
Answers, history, and context arrive together, not as attachments scattered across inboxes.
Candidates read your stages, descriptions, and effort before they share a single byte.
Candidates push real Git and submit the exact commit they want reviewed. No zips, no screenshots.
Reviewers score submitted work, the team aligns on evidence, and a human records the outcome.
Stage history, submissions, messages, and decisions persist as an append-only audit trail.
Fit review and code review surface evidence and suggested next steps beside the application. They cannot move a stage, send an offer, or reject a candidate: that authority stays with your team, on your own model keys.
Structured assessments and repository challenges live in the same pipeline. Pick the format that matches the signal you need; the evidence lands on the same record either way.
Versioned questions, time limits, passing scores, and explicit human scoring for written and code answers.
The repository is the interface. Every candidate gets a private copy, works with normal Git, and submits the commit they want reviewed.
Automation drafts, scores, and suggests, then waits. Try the review: every button below is a decision only a human can make.
Confidence medium: the system design answer needs a human read before this means anything.
Hiretea ships an MCP server. Point Claude Desktop or Cursor at your workspace and it reads candidate snapshots and pipeline triage on demand, doing exactly what the token's scopes allow.
AI proposes, evidence attached. It cannot move a stage or send a decision on its own; every suggestion waits until an operator rules.
Bring your own provider. Your keys, your usage bill, your data boundary. Hiretea orchestrates, it never resells your hiring signal.
Each AI run records its inputs, model, and output on the audit trail. When a decision is questioned, the reasoning is replayable.
HD video conferences, real-time screen sharing, and integrated chat. Conduct high-signal remote interviews without leaving Hiretea.
Welcome Alex! Let's start by reviewing the worker pool concurrency design you submitted.
Hi Maya! Let me share my screen to show the mutex benchmarking in pool_test.go.
Eliminate Zoom, Teams, and Google Meet link confusion. Every scheduled interview automatically provisions a secure, low-latency room inside Hiretea.
Invite external hiring managers, executives, or guest interviewers with a single link: no signup or account creation required.
Share browser tabs, architecture diagrams, or your local terminal with crisp 60fps clarity for pairing and system design.
Transport-encrypted audio-video channels with hardware device testing and acoustic echo cancellation.
Seats set the plan. The two things that genuinely scale with hiring (evaluation runs and stored work) come included and are metered past it. No trial period: a workspace is subscribed from the day it is created.
Compare quota limits, live video interview concurrency, runner allowances, and compliance governance in detail on our dedicated pricing page.
A self-hosted deployment option for teams with strict data residency and compliance requirements is in the works. Pricing, licensing terms, and setup details will be published together when it becomes available.
The short answers. The long ones are in the product: create a workspace and read a candidate record end to end.
No. Every plan is priced per workspace per month — Starter $49, Growth $199, Scale $599 — and candidates, applications, job postings, and repositories are unlimited on all of them. The only headcount that matters is team seats: 3 on Starter, 10 on Growth, unlimited on Scale.
From first application to final decision
Publish the role. Show the process. Collect real work. Decide with evidence. One record carries it all. Start yours today.