AutoDFS

The software itself—a real-time data dashboard with odds comparison and betting calculators—is reproducible in 8–12 weeks using Cursor/Claude, React, Node, and third-party sports data APIs (e.g., ESPN, DraftKings public odds feeds), plus standard hosting. Build cost is $8K–$16K (AI subscription + infra). However, the critical acquisition here is *not* the code but the verified $1.26K/mo profit stream from early adopters in a high-intent niche. With only 2 months of history, you have no data on customer retention, churn by season, repeat purchase rates, or acquisition durability. The buyer is betting on *traction sustainability*, not software. If the founding team has real product-market fit validation (e.g., >80% retention, organic word-of-mouth CAC, clear pricing unit economics), the verified $15.2K annual profit justifies acquisition despite build feasibility. Absent that evidence, build the software yourself and acquire users more cheaply. Score reflects: 30% early traction credibility (verified $1.26K profit, high-intent market), 40% traction evidence gap (no customer count, retention, CAC data), and 30% software reproducibility (low-cost build). Missing retention and customer-count data drops confidence below the 70% threshold for BUY.

Cash estimate includes the AI tools, APIs and infrastructure needed for a solo founder to recreate the software. Build time is informational and lightly weighted. The verdict is driven mainly by customers, users, verified earnings, retention, distribution, brand, data and operating history.