We screen every applicant with a human-like AI avatar. You get a detailed Word report per candidate — usually within 6 hours. No more 100-applicant inboxes.
Hands-off pre-screen
Each vacancy gets a public apply page. The moment a candidate applies, AI compares their CV to the role — matched skills, missing experience, real years on the stack. If the score is promising, AI starts a chat in their language and asks 2–3 clarifying questions. Only candidates who actually fit reach the interview.
Post on hh, Djinni, LinkedIn, Telegram, your careers page. Same public link — candidates land on a clean apply page.
Every skill in your job description weighed against the candidate's actual experience. Match score, strengths, gaps — in seconds.
A short chat in their language. Verifies what's ambiguous, asks for project proof. Saves your $7 for candidates who actually deserve an interview.
Viktoria runs structured soft-skill screenings using YOUR questions — pre-configured by your HR and signed off before the first candidate joins. The AI delivers the conversation; you decide what gets asked.
What salary range are you targeting for your next role?
How they articulate, listen, handle ambiguity, explain the same thing to different audiences.
Why they're looking, what matters, whether the vacancy fits what they actually want.
She asks for salary expectations first, compares to your pre-set range (which stays hidden), and responds accordingly — no awkward reveals, no lowballing by accident.
Graded on vocabulary, grammar, fluency, comprehension — with concrete examples from the call.
Mikhail runs the technical question bank your tech lead signed off — and within each topic, he listens, probes, and digs deep when an answer is worth it.
How would you design a URL shortener handling 100M writes per day? Walk me through storage, ID generation, and read path.
From scaling a message queue to consistency trade-offs — probes past projects: why this stack, what broke.
Live problems with adaptive follow-ups that expose whether they memorized or actually understand.
Language-agnostic problem solving with screen share; evaluates approach, not just solution.
If a candidate mentions something worth unpacking, Mikhail pulls on the thread with the right follow-up — same way a good senior engineer would.
Every interview in your dashboard
Nothing gets lost. If the AI scored something generously, you can verify the tape yourself — from any moment, in any interview.
Full audio
MP3, downloadable, 1×/1.5×/2×.
Full video
HD — candidate camera + screen share.
Transcript
Speaker-tagged, timestamped, searchable.
Jump to any moment
Click a line → video scrubs to that second.
What you get
Scores, verdict, strengths, weaknesses, red flags — sorted by the hiring signals you actually care about.



Overall score + hire verdict
1–10 score with a clear strong-yes / yes / conditional / no recommendation.
Risk level + red flags
Specific concerns flagged with the exact moments from the conversation.
Topic-by-topic scoring
5–10 blocks (System Design, Algorithms…), each scored 0–10 across topics.
Skills match vs vacancy
% match against your required + nice-to-have skills, side by side.
Strengths with project proof
Each strength quoted directly — which past project demonstrated it.
Weaknesses + trainability
Honest gaps + whether they're fixable via mentoring or are deal-breakers.
English level + salary
B1/B2/C1 with example phrases. Salary expectation captured before negotiation.
Executive summary + next steps
1-page exec recap and recommended actions if you advance the candidate.
Drops into your ATS
Word format — paste into Greenhouse, Workable, BambooHR without rewriting.
Shareable in 3 minutes
Hiring manager reads exec summary + scores — full deep dive optional.
Same scale across candidates
Compare 10 candidates side-by-side on identical rubric. No "gut feel" bias.
Defensible decisions
Every score backed by a direct quote from the conversation.
This is a real report generated for a real interview. Candidate, vacancy, and company names are replaced.
The full pipeline
Every applicant flows through your custom gates. AI does the work; you decide what counts as a pass at each stage.
Hosted apply page on your domain — or import existing CVs from email, hh, Djinni, LinkedIn.
Skill graph with years per stack, ranked against your vacancy. Obvious mismatches drop here for $0.
Your 2–3 verification questions, asked in a friendly chat. Catches misrepresented experience before you spend $7 on a full interview.
Auto-invited or manager-approved. Soft skills, English, salary probe, motivation. 30–45 min, fully recorded.
Triggered automatically after an HR pass — or held for your tech lead's approval. Your tech bank, adaptive depth, live coding.
Full reports, audio, video, transcripts, hire recommendation. Decide in minutes — not three weeks of manual screening.
You set every gate: auto-promote, manager-approve, or skip the stage entirely. Default thresholds work out of the box.
Only pay when an AI avatar actually completes an interview. Nothing else.
First 3 interviews on us
Test the system on your real candidates before paying anything. No card required.
Volume discounts for 50+ interviews / month — we discuss on the demo call.
I'll walk you through the live system, share real reports, and help you decide if it fits your pipeline.
Beyond interviews
While AI runs interviews, TalentStack also polishes your vacancies, structures candidate resumes, and lets you search your whole database by real skills. Everything under one roof.
Paste a rough draft — get a structured, attractive job description that actually converts.
Every job ad becomes a skill tree: core · required · nice-to-have, with expected years.
Messy PDFs turn into clean profiles: roles, projects, stack, consistent formatting.
Each resume becomes a skill graph with years per skill — ready to match against any vacancy.
Skill-based candidate search
Pick a vacancy — every candidate in your base is instantly ranked by skill match. No keyword spam, real overlap.
Recruiters filter by vacancy — candidates show up with a live match score
Full-stack developer / Backend developer
7y exp · $5000-$5500 · Flexible · Hybrid, Remote · Upper-Intermediate
Senior Full Stack Engineer / Full Stack Developer / Backend Engineer
6y exp · $4500-$7000 · Upper-Intermediate
These features ship today with every TalentStack account. The AI interviewers are the next step — book a demo and we can set up the full flow together.