Nine hundred applications, opened in the order they landed, shortlist closed at forty. Send all nine hundred a take-home or an AI interview instead — our servers grade every attempt, anti-cheat rides along, and by morning the list is sorted by who can actually do the job.
2+
hiring workspaces
Replay
sessions on record
150+
challenges ready to assign
Capgemini · SakSoft · and more screen on evidence, not order
the problem you actually have
You post one role and hundreds — sometimes thousands — of applications land in a week. Somebody opens them top-down, five minutes each, and runs out of attention around number forty. The shortlist closes there. The strongest engineer in that pile might be number 612, and nobody will ever find out, because the queue decided before the skill did.
Attention runs out long before the pile does. Each square is an applicant.
■ read■ never opened■ your best hire
Same pile, scored in parallel, best-first by morning.
■ interview these■ scored, kept warm■ surfaced at rank 1
None of them need your calendar, and each one runs across the whole list at once.
Take-home assignments
One link goes to the whole applicant list. Real code, real execution, hidden tests — graded on our servers against your rubric, not skimmed by a tired human at 6pm.
AI interview
An AI screening interview talks to candidates in parallel, probes their answers with follow-ups, and returns a scored transcript. Hundreds of first rounds, none of them on your calendar.
Anti-cheat built in
Paste bursts, tab exits, timing anomalies and AI-likelihood are captured on every attempt and disclosed to the candidate. A score you can trust is the entire point of ranking.
the pipeline
From a thousand applicants down to the signed offer — no tool-hopping, no lost context between stages, and one record per candidate you can point at afterwards.
Assessments in minutes, not sprints
The whole pile, scored in parallel
The live room, nothing to install
Evidence, not vibes
live interview room
Collaborative editor, live execution and integrity signals — in the browser, with nothing to install on either side. Your team watches, replays and scores. This demo is live: it types below.
Senior Backend Candidate · Java
● clean● needs review— hover a blip
integrity radar
Tab switches, clipboard events and timing anomalies — disclosed to the candidate, timestamped onto the replay, and presented for a human to read. The panel debates skill, never suspicion.
05 · why teams switch
Proctoring, challenge authoring, the multiplayer room, grading, rubrics and credits. Every demo below is running on this page — follow the flow.
Tab switches, clipboard events and keystroke timing are recorded during an attempt — with the candidate told up front — and surfaced as a timeline your team reads. The system flags; a person decides.
Point the workspace at your own LLMs and grading pipelines over the open JSON-RPC standard, then discover, invoke and chain those tools like any built-in one.
Run the session together: live cursor tracking, in-editor chat, and peer-to-peer WebRTC keeping both sides in sync.
Test matrices execute on submission, on our infrastructure. JUnit, Jest, PyTest and custom runners.
Score every candidate against the same dimensions, so two interviewers reach comparable numbers — then export the whole scorecard as a PDF.
Screenings are billed as credits on top of seats, tracked live. Set seat bounds, cap workspace limits, and watch spend as it happens.
◆ the argument, in one flip
debounce-from-scratch · full session
24:16 · every keystroke kept
04:12 Writes failing test first — unprompted.
11:47 Catches own stale-closure bug, laughs, fixes it.
19:03 Explains trade-offs out loud. Panel nods.
Integrity PASS — hire with confidence.
Same candidate · two stories · only one is evidence
the record
A hiring decision is easy to make and hard to defend three months later. Every attempt closes into one record your team can reopen — and hand to the person who asks why.
The candidate keeps the work. You keep the reasoning.
Records stay in the workspace under its retention policy, are written to an append-only audit log, and travel to Greenhouse, Lever or Ashby with the verdict attached.
built for trust
Hiring data is sensitive. None of these are roadmap promises — each one names a mechanism that is running today.
Candidate code never runs on the app server — it executes in a network-disabled sandbox with CPU, memory, and output limits.
Hidden tests run on our infrastructure, not in the candidate's browser. Submitted scores can't be forged client-side.
Attempt timelines and integrity signals are captured per attempt (with the candidate's knowledge) and surfaced on the scorecard.
TOTP-based 2FA with single-use backup codes protects recruiter and admin accounts.
ATS keys and integration tokens are AES-256-GCM encrypted and never returned to the browser after saving.
Workspace actions, security events, and AI tool calls are written to append-only audit logs.
Seats cover the workspace and everyone in it. AI screenings are credits on top, charged only when a candidate actually starts.
Try real interviews with a small team.
For teams running regular screens.
Scale screening with AI + automation.