Deal Decoder
An AI app that translates NBA contract news into plain-English implications for fans, with cap-space ripple effects and roster impact projections.
NBA fans who get lost in salary-cap jargon and want to know what a max extension actually means for their team's title odds
- Contract-to-roster translator that turns $252M figures into 'this is who you can't sign next year' summaries
- Roster ripple visualizer showing how each new deal reshapes the team's lineup and trade options
- Side-by-side comparable deals (Wembanyama vs Cunningham/Mobley) explained for fans
- League-wide salary-cap snapshot refreshed daily so fans understand each deal in context
Wembanyama's $252M extension is the third-largest rookie extension ever and the kind of franchise-defining deal that drives weeks of fan debate — the kind of decision casual fans want to understand without reading capology Twitter.
Wembanyama $252M extension drove widespread coverage (Sportsnet, MSN, RealGM) and detailed 'pay cut / supermax vs max' stories, confirming casual-fan confusion; NBA global fan base grows 8% CAGR per market research, but interest is news-cycle bursty, not sustained.Report: Wembanyama signs richest contract in Spurs history ↗Global NBA fan growth at 8.02 percent CAGR ↗
Crowded established field — NBA Cap Tracker, SalarySwish, ShamSports (since 2007), Fanspo trade machine, NBA GM Sandbox, and a direct AI CBA 'Contract Analyzer' on GitHub plus a GPT-4 trade analyzer already exist; the casual-fan-translation angle is narrower than the scoring assumed.NBA Contract Analyzer — 2025-26 ↗ShamSports - NBA salary cap tools since 2007 ↗NBA GM Sandbox — Cap Intelligence & Trade Lab ↗
Casual fans are the target but established cap tools (Fanspo, ShamSports, SalarySwish) appear free/freemium; willingness to pay specifically for plain-English contract explainers is unproven and competes with free Twitter capologists and Bleacher Report-style content.Fanspo NBA Trade Machine & Cap Manager ↗SalarySwish NBA Salary Cap Tracker and Trade Machine ↗
Contract news recurs every offseason so demand is evergreen, but the plain-English summarization layer is at high risk of being absorbed by general LLM assistants (ChatGPT/Claude) or league media partners; title-odds projections are speculative and erode value over a season.
Translation layer is straightforward with an LLM + CBA prompt, but live cap/roster data integration, 2023 CBA rule maintenance (apron tiers, Rose Rule), and any credible title-odds modeling are real engineering lifts rather than trivial.How Does the NBA Salary Cap Work? A Fan-Friendly Guide ↗