Kickly - Pronos Coupe du Monde ⚽
⭐MRRdeals Score · 67/100Pronostics sportifs.
What this SaaS is
Provides AI-driven sports predictions for football matches.
- AI-driven predictions
- User-friendly interface
- Social media integration
- No active customers— Zero customers reported. Hard to model retention or growth.
- Founded <12mo ago— Less than 12 months of operating history. Retention is unproven.
- Single acquisition channel— All customers come from one acquisition channel. Pull the plug and revenue dies.
Numbers that matter
Tech stack
Marketing channels
Score breakdown
How the composite score above splits across seven independent signals. Each axis is graded 0-100. Hover for details.
Payback period, asking price vs category median multiple, and 30-day profit margin.
30-day MRR delta, with a small bonus when historical snapshots confirm a sustained climb.
Revenue per visitor, customer count, plus live-site UX signals (pricing reachability, core pages, copyright freshness).
AI-disruption risk, presence on review platforms (G2, ProductHunt, AppSumo…), penalty when built on no-code rails.
Diversity of marketing channels, Merchant-of-Record status, cofounder count. Solo founders and no-code stacks get docked.
Listing freshness, payment provider trust, business age, customer concentration. Higher score = less risky.
Structured market read across TAM, saturation, 3-year trend, and hype cycle, blended with our category momentum signal.
Market read
- TAMmid
The market for sports prediction apps is moderately sized with a steady user base.
- Saturationmature
Many competitors exist, indicating a mature market with established players.
- 3y trendgrowing
Interest in sports betting and predictions has increased, showing growth in this niche.
- AI disruptionwrapper killable
The product can be easily replicated by solo developers, posing a high risk of being outperformed.
- Hype cyclemainstream
Sports prediction apps are widely used, placing them in the mainstream phase.
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