Aneesh Devi on ParentingAces
ft. Aneesh Devi
Aneesh Devi, founder of CoachMe and a Carnegie Mellon engineering graduate turned tennis entrepreneur, presents his platform for video-based remote coaching and outsourced match charting.
Summary
Aneesh Devi, founder of CoachMe and a Carnegie Mellon engineering graduate turned tennis entrepreneur, presents his platform for video-based remote coaching and outsourced match charting. CoachMe enables coaches to review player footage asynchronously, provide technical feedback digitally, and use statistical analysis to identify trends in a junior player’s development — without being physically present at every practice or tournament. Devi also discusses the ITF’s experimental allowance of on-court coaching aids and the broader shift toward data-driven development in junior tennis.
Guest Background
Aneesh Devi is the founder of CoachMe, a technology platform for tennis coaching and player analysis. He studied engineering at Carnegie Mellon University and applied his technical background to the tennis industry. His platform was built on the insight that most coaches lack the time, travel budget, or bandwidth to be present at every training session and tournament, creating a gap that technology-enabled remote coaching could fill. He is a competitive tennis player himself and developed CoachMe out of frustration with the limitations of traditional coaching delivery.
Key Findings
1. Remote Video Coaching as Scalable Development Tool
CoachMe allows coaches to receive video footage from players or parents at tournaments and training sessions, review it asynchronously, and send back detailed technical feedback without being physically present. This model dramatically extends a coach’s reach — enabling one coach to meaningfully work with more players than in-person logistics allow. For families in tennis-poor geographies, it democratizes access to high-quality coaching.
2. Outsourced Match Charting Converts Raw Data Into Actionable Insight
A key CoachMe feature is match charting — tracking every point, shot type, and error pattern in a match. Devi describes a service model where families can submit match footage and receive a statistical breakdown: first-serve percentage, forced versus unforced errors, rally length distribution, and pattern-of-play tendencies. This data gives coaches and players a factual foundation for development priorities rather than relying on subjective memory of what happened.
3. Statistical Trend Analysis Over Time
The platform’s most powerful feature, Devi argues, is longitudinal trend analysis — tracking a player’s statistical profile across multiple matches over time to identify whether technical changes are translating to competitive improvement. A player can improve their forehand technique in practice but the data reveals whether that improvement is actually showing up under pressure in matches.
4. ITF Allowing On-Court Coaching Aids Signals Technology’s Growing Role
Devi references the ITF’s experimental allowance of on-court coaching aids — devices and communications tools that players could potentially access during changeovers or between games. This signals a broader shift in professional tennis toward accepting technology as part of the competitive environment, not just training. Devi sees this as legitimizing the infrastructure CoachMe is building for the junior game.
5. Engineering Mindset Applied to Player Development
Devi is explicit about bringing an engineering approach — systematic data collection, hypothesis testing, and iterative improvement — to what has traditionally been an intuition-driven field. He argues that coaches operating on feel and observation alone will increasingly be disadvantaged compared to those who use data to validate their instincts and identify blind spots.
6. Democratizing Access for Players Without Elite Academy Resources
One of Devi’s motivating insights is that elite academy training — with its high-cost, full-time, geographically concentrated model — is inaccessible to the majority of talented junior players. Remote coaching platforms like CoachMe offer a partial substitute: players in Midwest tennis markets or mid-tier programs can access elite-caliber analysis and feedback without relocating or paying academy-level costs.
Actionable Advice for Families
- Record matches and practice sessions systematically — this footage is the raw material for data-driven development and is valuable even without a platform like CoachMe
- Consider supplementing in-person coaching with remote video review, especially if your primary coach cannot attend tournaments
- Ask any coach about their approach to tracking player progress over time — coaches who measure objectively are more accountable than those who rely on subjective assessment
- Explore match charting as a way to give your child factual, non-emotional feedback about their competitive performance
INTENNSE Relevance
- Data and analytics infrastructure: CoachMe’s match charting and statistical trend analysis model is directly applicable to INTENNSE’s competitive environment. The league’s camera systems and data infrastructure could produce the same kind of longitudinal player analytics that Devi describes for juniors
- Remote coaching and scouting: The remote video review model is useful for INTENNSE team coaches evaluating potential roster acquisitions or monitoring player development between matches
- Technology legitimacy: Devi’s reference to the ITF allowing on-court coaching aids in 2014 is an early signal of the direction professional tennis would move — INTENNSE’s mic’d coaches and real-time strategy discussions are a direct evolution of this trend
- Democratizing professional development: INTENNSE serves players who couldn’t break through on the ATP tour. The league should consider providing players with professional-grade data analysis — the kind of development support that was previously available only at the elite academy level
Notable Quotes
“Most coaches are operating on instinct and memory. The problem with memory is it’s selective — you remember the dramatic moments, not the patterns. The data remembers everything.”
“If a kid in Iowa has the talent to compete at a national level, why should their development be limited by whether there’s a world-class coach within driving distance? Technology changes that equation.”