In hiring, the real bottleneck is not finding people, it is trusting what they claim
Something I have spent a lot of time on lately, sharing here for feedback from other founders who hire.
Post one role and you get hundreds of applications. Inflated resumes, borrowed experience letters, skills listed that nobody can actually back up, and now a wave of AI-written profiles on top. There is no fast, reliable way to tell who can really do the work versus who just wrote that they can. So it becomes hours of screening calls that go nowhere, or hiring on gut and a familiar company name on the resume, and sometimes finding out months later that half the resume was fiction.
The core issue is that hiring still runs on self-declared claims. The burden of proof sits on the employer, one interview at a time, and background checks catch it too late and cost too much.
So I have been building toward a different model, where a candidate's skills, work history and projects come backed by real records and approved evidence instead of self-declaration, so the claims are verified before a profile ever reaches an employer. Verified, not claimed.
What I would really value from this community: does this match what you see when you hire? Where does the unverified-candidate problem hurt you most, screening time, bad hires, background-check cost, something else? And for those who have hired at scale, what actually gave you confidence in a candidate before you committed?