Taknut is a privacy-first platform that transforms raw resumes into deep-dive, structured interview guides in under 30 seconds. Built with a "Surgical" approach to hiring, Taknut provides: Deterministic PII Scrubbing: Automatically blinds resumes before AI analysis, ensuring compliance with Laws. Taknut identifies specific candidate accomplishments and generates incisive questions to test actual expertise.
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Maker
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Hi everyone! 👋
I’ve spent the last several years working tech management positions, and if there’s one thing I’ve noticed across the board, it’s that hiring is often the "weakest link". Most hiring managers, myself included, want to do deep, structured interviews, but reality gets in the way. We end up skimming a CV five or ten minutes before a call and hiring based on "gut feeling" or rehearsed answers to generic questions.
I built Taknut to solve the "prep-gap" while addressing the massive security concerns that come with using AI for sensitive HR data.
What makes Taknut different?
Privacy by Design: As an architect, I knew that sending raw resumes to an LLM was a non-starter for high-compliance environments. We built deterministic PII scrubbing in 4 languages to ensure the AI never sees a candidate’s name, location, or contact info.
The "Candidate Fingerprint": We don't just summarize resumes. We probe specific accomplishments (like a cloud migration or a sales target) to generate deep-dive questions that actually test expertise.
Objective Signaling: Every guide includes clear rubrics (Strong Hire / Pass / Red Flag) to standardize the decision-making process across the whole panel.
The Vision:
Hiring should be about signal, not noise. Skill, not identity. Taknut is designed to give you that surgical precision in 2 minutes.