Hey builders 🛠️,
Are you tired of endless debates about who's truly the greatest athlete across different generations? So are millions of sports fans, analysts, and commentators. And that's where EraScore comes in.
The Market Gap: Comparing athlete performance across different eras in sports like Formula 1 is a nightmare. Raw points totals, varying scoring systems, and changing season lengths render direct comparisons meaningless. This leads to constant arguments and misleading narratives among fans and professionals alike. The frustration is palpable and widespread.
The Validation: This isn't a pipe dream. A recent Reddit thread on r/formula1 about Antonelli vs. Hamilton's rookie seasons exploded with nearly 4,000 upvotes and 243 comments. The discussion clearly showed a strong, organic demand for a solution, with users independently attempting manual normalization themselves. This is a problem people are actively trying to solve!
The Solution & Unique Angle: EraScore will ingest historical and current sports data and, using rule-based algorithms, normalize results across different scoring systems and formats. Imagine comparing a 1980s F1 driver to a modern one, with scores adjusted for today's points system. This provides genuinely 'apples-to-apples' comparisons.
While advanced analytics platforms exist (like Opta), none offer a consumer-facing, comprehensive, era-normalized comparison engine. This is a significant defensibility moat.
The Opportunity: This is a goldmine for an indie hacker or small team:
Clear Monetization: Freemium model ($10-20/month) with B2B licensing for media. People will pay for objective truth.
High Urgency Problem: Demonstrated by the Reddit thread's engagement.
Scalable MVP: Start with Formula 1, then expand to other sports like NFL, NBA, cricket, where scoring systems also evolve.
Strong Defensibility: Proprietary normalization algorithms and comprehensive historical data are powerful assets.
This isn't just a cool idea; it's a validated business opportunity with a massive, passionate target audience. If you love sports and data, this could be your next big project.
Best, The IdeaHarvester Team
Want to build this? The full Product Requirement Document includes market analysis, user stories, a go-to-market strategy, and more.