Analyzes PC hardware prices, discounts, seller reliability and market timing to tell you whether to buy now or wait. Compares current prices, recent lows, real discounts, seller risk and build compatibility, then returns a clear 0–100 score and verdict.
Skip the trial and error. This guide shows you how to pick components that truly match your needs and put them together correctly, the first time.
A premium AI financial advisor for CFOs and business leaders that analyzes profitability, margins, costs, cash flow, pricing, and financial risks to deliver clear executive insights and prioritized financial actions.
Decide whether to buy, wait, or skip before you spend — with regret-risk scoring, future-self checks, and a 7-day purchase test.
I've spent years in fitting bays reading Trackman data — this Skill works the way a $200/hour fitting reads: paste your Trackman, GCQuad, Mevo+, R10, or sim numbers and get the one dominant diagnosis, an honest technique-vs-equipment verdict, exact spec directions when equipment is truly the problem, and a practice prescription with a measurable checkpoint. It will tell you NOT to buy a new driver when the data says strike training, which is exactly why you can trust it when it says the opposite
Academic sanity-check with interactive HTML dashboard. Detects look-ahead bias, over-parameterization, and benchmarks against 10 canonical blueprints via animated SVG gauges and color-coded KPI cards. Parses natural language, code, or CSV uploads. Output auto-adapts (EN/ZH-TW/ZH-CN). Built on De Prado (2018). For students and strategy developers. Not financial advice.
Run big decisions through a structured gauntlet: clarify the real question, weight your criteria, score every option, expose hidden downsides, and run a pre-mortem, without the AI making the choice for you.
Built on the buy-side research process used at 10+ hedge funds: - Screen: customizable filters across 10,000+ SEC-registered companies - Research: a full research report, plus AI-driven dialogue to help you form your own thesis - Value: a DCF model with an interactive HTML file - Size: half-Kelly position sizing to help you limit account drawdown - Recheck: pulls up your original thesis before you sell, no emotional trading
Rebuild a spreadsheet of hardcoded numbers — the kind that breaks when you change one cell and that nobody trusts enough to take to a board or VC — into a driver-based, three-statement linked model you can actually stress. Scope by purpose, build a driver tree (price × volume × retention, not a growth rate from thin air), link P&L → Balance Sheet → Cash Flow, centralize inputs in one assumption layer, run base/bull/bear scenarios with sensitivity, and sanity-check against benchmarks.