Translucid
Live interview

Looking for someone who canrefactor a React component?

Let them show you. Translucid turns your repos and job descriptions into real technical challenges, then runs multi-round technical interviews that produce a clear hiring signal.

Translucid live coding interview workspace
Ifty
Afreen
You

Strong on paper is no longer strong evidence

AI can polish resumes, complete take-home assignments, and solve standard coding questions. Screen sharing still cannot show whether candidates understand the work, make sound decisions, or rely on hidden assistance. For an early-stage team, the real question is simple: Can this person take an unfamiliar problem and move it forward?

Press coverage: Entrepreneur, Forbes, The Atlantic, and The Wall Street Journal reporting on broken hiring and AI-driven cheating
What Translucid is

Engineering interviews that look and feel like the actual job.

Translucid generates async coding assessments from a company's own codebase, tickets, and job descriptions: real tasks, scoped to show how a candidate would actually contribute to your team.

Multiplayer

Know what it feels like to work with them

Your candidate, engineers, and approved AI tools work together inside one live workspace. Ask questions, introduce new requirements, review tradeoffs, and see how the candidate communicates while solving the problem.

Translucid collaborative workspace — shared whiteboard with live video
Priya
Michel
You

Open by design

Let candidates use tools they will use at work

Give candidates an IDE, terminal, browser, internet access, documentation, and approved coding agents. See how they research, verify, debug, and make decisions with a real engineering workflow.

Translucid interview session — IDE, terminal, video, AI assistant
Translucid custom New Tab — Page Rank Algorithm search
Google Search — Breadth-First Search
CS Academy Graph Editor — undirected graph visualization
Symbolab solver — solving x^4 - 5x^2 + 4 = 0

Sealed from the outside

Keep hidden assistance outside the interview

The interview runs inside an isolated cloud workspace where they can work freely inside the session while the protected stream prevents hidden AI overlays from accessing the workspace.

The full collaborative workspace as seen by participants insideThe same session as seen from outside — empty/invisible
Inside viewOutside view
Challenge Engine

Create challenges that
feel like the actual job.

Translucid deeply analyzes your stack and the problems your engineers are solving, then creates a challenge around the same technical patterns and decisions. Instead of testing generic skills, you see how candidates would perform on your problems.

Async Webhook Ledger: Transaction Reconciliation Engine

seniorBackend systems engineering120 min

Files

  • README.md
  • src
  • handlers.ts
  • migrate.ts
  • postgresLedger.ts
  • provider.ts
  • queueConsumer.ts
  • queueSetup.ts
  • reconciliation.ts
  • server.ts
  • types.ts
  • tests
  • public
  • DEBRIEF.md
  • docker-compose.yml
  • Makefile
  • package-lock.json
  • package.json
  • tsconfig.json

You are joining the backend team for Acme Corp is a venture-backed technology company building AI-powered software products for modern businesses. We focus on creating scalable, secure, and user-centric solutions that help organizations automate workflows.

A webhook ingestion service processes external events from providers such as payment processors, app marketplaces, and customer notification systems.

The service currently works in the happy path, but production incidents show unsafe behavior under duplicate delivery, retries, provider timeouts, out-of-order events, and process restarts.

Your task is to make event processing idempotent, durable, and explainable.

What You Need To Fix
  • Record every received event in a durable ledger.
  • Reject invalid events without crashing the worker.
  • Prevent duplicate side effects when the same provider event is delivered more than once.
  • Handle out-of-order lifecycle events without losing the final business state.
How it works

Open role to full-stack hiring pipeline in minutes

Create challenge interface
01

Define the work

Connect the role, stack, and engineering context you want the interview to reflect.

Build the interview
02

Build the interview

Choose the challenge, interview rounds, permitted tools, security controls, and evaluation criteria.

Run the session
03

Run the session

Work with candidates inside a live cloud workspace containing the tools required for the role.

Review the evidence
04

Review the evidence

Compare reasoning, execution, debugging, AI use, and collaboration across candidates.

FAQ

No. Translucid uses the engineering context you approve to create a separate, role-specific challenge. Candidates never receive your production repository.

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Stop losing good candidates to broken pipelines.