Post a challenge. Let AI evaluate every submission. Browse ranked, scored candidates who have already proven they can do the job. No cover letters. No CV keyword games.
The problem
The current process filters on the wrong signal — and wastes everybody's time.
CV screening
Hours spent filtering resumes from candidates who can't do the job.
Keyword bias
Job boards reward people who know what to write — not people who know what to build.
Interview theatre
LeetCode and whiteboard tests are disconnected from actual day-to-day work.
Late-stage drop-offs
Mis-aligned expectations mean offer rejections after weeks of interviewing.
Old way
The Talento way
How it works
Create your company profile and post a role with skills required, seniority level, and a short description. Publishing takes under 5 minutes.
Attach one or more real-world tasks to your job. Define the requirements, acceptance criteria, and a rubric. We help you structure it if needed.
Claude AI scores each submission 0–100 against your rubric. You get a breakdown by category plus written notes — no manual review required.
Every applicant is ranked by their Handshake Score — their cumulative proven performance across all challenges. Filter by skill, score tier, and availability.
Contact candidates directly via the platform. Skip the cover letter shuffle and start the conversation with real work already on the table.
Why it works
AI handles every submission review. You only look at candidates who already meet your quality bar.
The Handshake Score shows each candidate's cumulative AI-evaluated performance — not self-reported skills.
Reach candidates who can build perfectly well but lack the credentials to pass traditional screening.
Real work replaces early interviews, reducing hiring cycles from weeks to days.
Engineering, data science, design, product, DevOps — any discipline can be assessed with well-structured challenges.
Per-challenge score breakdowns tell you exactly where candidates excel and where they need support.
Evaluation engine
Your challenge rubric is applied by Claude — Anthropic’s most capable AI model. Every submission gets a structured 0–100 score and written breakdown within minutes. No reviewer fatigue. No subjective bias. Just consistent, reasoned evaluation at scale.
Claude evaluates architecture decisions, code structure, trade-off explanations, and edge-case handling — the things that separate good candidates from great ones.
100 submissions or 10,000 — every one gets the same rigorous evaluation. Your hiring team reviews only the top-scored candidates, not raw stacks of work.
We use Anthropic’s Claude API directly, giving us access to the model’s full reasoning capabilities and ensuring evaluation quality keeps pace with AI progress.
Results delivered within 5 minutes. Powered by Anthropic’s Claude API.
Handshake Score
Every candidate on the Talent Board has an AI-evaluated Handshake Score. It's the sum of credits earned across our challenge platform — harder challenges earn more credits, easier ones earn fewer.
The score is public, persistent, and cumulative. A candidate with 20 points has successfully completed multiple real-world challenges at a high standard. You didn't have to watch it happen — the platform's track record speaks for itself.
Use the score as a pre-filter: browse the Talent Board by minimum score, required skills, and availability. Create a shortlist in minutes, not days.
Browse Talent BoardHas completed multiple hard or medium challenges successfully. Strong signal for immediate contribution.
Sort this tier first.
Completed several moderate-difficulty challenges. Likely a strong hire for most mid-level roles.
Good pool for mid-level roles.
Has passed at least one evaluated challenge. Demonstrated baseline competency.
Good for junior or trainee pipelines.
Score = real track record
Each credit was earned by completing a challenge, not by filling in a self-assessment form. The score can't be gamed with keywords.
Challenge types
Whether you're hiring a junior frontend developer or a senior machine learning engineer, Talento supports assessment across the full tech stack.
Take-home coding task
Build a REST endpoint, implement a feature, fix a bug in a real codebase.
Design & prototype
Create wireframes, design a UI screen, prototype a mobile flow.
Data analysis or modelling
Clean a dataset, build a prediction model, visualise insights from CSV data.
Case study
Propose a technical architecture, write a product spec, research a market.
System design
Design a scalable backend, define an API contract, describe performance trade-offs.
DevOps or infrastructure
Write a CI/CD pipeline config, containerise a service, write IaC for a deployment.
What's next
We're building the infrastructure for smarter, faster technical hiring. Here's what's coming.
AI skill-match ranking
Coming soonAutomatically surface candidates whose Handshake Score composition matches your open role's skill requirements.
Email alerts for top scores
Coming soonGet notified instantly when a candidate hits your score threshold on your active challenge.
File & asset upload
In progressAllow candidates to submit designs, Figma files, spreadsheets, or any asset type — not just URLs.
Analytics dashboard
PlannedSee funnel stats: applicants → submissions → pass rate → interview → hire. Understand your pipeline quality.
FAQ
Everything hiring teams ask before posting their first challenge.
Still have questions? Drop us an email
Create your company profile, post your first challenge, and let AI sort your candidates. Setup takes under 10 minutes. Posting is free.