Habs Contract Decoder
A Montreal Canadiens fan app that translates every contract rumor, signing, and trade into plain English with cap-hit impact, roster consequences, and a credibility score on the rumor.
Montreal Canadiens fans following roster moves between seasons
- Active rumor feed with a credibility score (insider, beat reporter, anonymous tweet)
- Cap-hit calculator that shows the roster cap picture the moment a deal is rumored
- Player profile pages explaining why a name is being floated (age, arbitration, depth chart fit)
- Push alerts the moment a Canadiens move is confirmed
Two key Canadiens — Bolduc and Xhekaj — are reportedly close to signing, and trade chatter is peaking before training camp.
Roster churn around Bolduc/Xhekaj signings and trade chatter is real (The Hockey News, Yahoo Sports covering Habs RFAs) and Canadiens have strong Quebec market interest, but niche is narrow to one fanbase.Canadiens: What's Holding Up The Bolduc And Xhekaj Signings? ↗Montreal Canadiens Contracts, Cap Hits and Salary Cap ↗
Crowded field with direct competitors: PuckVision ships a 'PuckGPT — AI-powered NHL contract and CBA expert' that already does exactly the AI translation of contracts/cap/trades; PuckPedia (with paid premium), Benchwarmers (post-CapFriendly), Spotrac, and the NHL's own SAP Front Office app all serve this need.Meet PuckGPT — Your AI-powered NHL contract and CBA expert ↗Benchwarmers - Cap Friendly Alternative ↗NHL Front Office App ↗
PuckPedia proves fans pay a premium subscription for cap data, and Benchwarmers sells a paid tier, but carving out a Canadiens-only subscription from those general tools is hard; standalone Habs-only paid app has very thin addressable market.Subscribe to PuckPedia ↗PuckPedia premium subscription (HFBoards thread) ↗
Interest is cyclical and front-loaded to offseason trade-deadline/free-agency windows; long regular season yields low incremental engagement for a roster-focused tool.
Feasible since cap-hit math and contract data are publicly available via PuckPedia/Spotrac and AI summarization is straightforward, but the 'credibility score on rumors' component requires curating rumor sources and is harder to automate reliably.