Your backtest looks strong. But can you trust the evidence behind it? Check for holdout contamination, time leakage, cost-stress failures, concentration risk, and reproducibility issues — before you rely on the result.
This is the work I did for 10+ years. As a senior HR at top companies, I screened 10,000+ resumes and decided who made the shortlist — learning to tell real signal from keyword-stuffing, spot who'll actually perform, and stay consistent instead of going on gut. This Skill puts that same judgment to work on your hiring: it reads each resume against your role, ranks candidates with clear reasons, and flags who's worth interviewing and who isn't — so you build a sharper shortlist, faster.
Three independent AI reviewers — ATS Parser Realist, Recruiter Skeptic, Interview Predictor — catch what gets resumes filtered or ignored before you submit.
Most players lose games on the clock and blame the wrong phase. Clock Leak reads your Lichess games and measures exactly where your time goes - opening, middlegame, late game - against 93 real peers and a 27-player 2300+ panel. The popular advice "play faster in the opening" has zero measured effect (r=0.11). Middlegame overspend does (r=0.41). One numeric action per report, traced to your own data. No engine coaching, no rating promises.
Use when you paste today’s portfolio or watchlist snapshot before a daily review. For self-directed investors who want consistent questions, not a market-data feed. Proof: checks every pasted position on 8 fixed risk and thesis axes, then labels missing evidence [UNVERIFIED]. It reasons only from the numbers and notes you supply.
Structured audit of resume, LinkedIn profile and interview readiness. Career Readiness Score 0-100 across 5 areas, main Career Blockers, a rewritten draft of your weakest resume sections, and 10 prioritized fixes. Based on the assets you provide — does not guarantee interviews or offers (full disclaimer in the report).
Know if your backtest is a real edge or overfit noise. Runs bar-permutation MCPT, Deflated Sharpe, PBO/CSCV, Hansen SPA, Romano-Wolf StepM, a stationary bootstrap and an out-of-sample split on your own returns — no market feed, no API keys.
Three independent AI reviewers audit a hiring decision for unverified skills, ignored red flags, and culture or cash-flow mismatch, then cross-examine each other.
Paste your broker statement and get an institutional-grade performance review: win rate, profit factor, expectancy, drawdown, and the one fix that matters most — delivered as a beautiful interactive HTML report.