Repth

"An AI cycling coach that generates fully personalized training plans and adapts workouts based on individual rider compliance and feedback, with the underlying coach logic licensed to human coaches."
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repth.com
Maker: mvkel
no rev. info provided

Marketing Channels

Primary

SEO / marketing site

Creator relies on a marketing site with competent SEO as the main discovery channel

Ongoing

Word of mouth

No active promotion — growth is organic from having the product live on the web

Secondary

Hacker News

Shared in monthly thread, received engaged questions from niche audience

Growth Levers

  • Expand TAM beyond serious cyclists to broader endurance sports (running, triathlon, swimming)
  • License the AI coach engine to more human coaches and coaching platforms as a white-label product
  • Create comparison content vs TrainerRoad to capture search traffic from cyclists evaluating alternatives
  • Leverage the 'vibe-coded since GPT-3.5 era' story for press and community credibility
  • Partner with cycling communities, clubs, and events for distribution
  • Invest in SEO content around personalized training plans vs template-based approaches

First Customer Strategy

Built the product in 2022 to replace a personal human cycling coach, not as a business. Kept it free for athletes and instead licenses the underlying AI coach logic to actual human coaches as the monetization path. No active promotion beyond having a competent marketing site with SEO.

Pricing Insight

Free for individual athletes. Revenue comes from licensing the underlying 'coach' logic to actual human coaches. This B2B licensing model avoids the small TAM problem of selling directly to serious cyclists.

New Market Opportunities

  • Human coaches seeking AI-augmented tools Already licensing the coach logic to human coaches — this B2B model expands the TAM beyond individual athletes
  • Broader endurance sports beyond cycling Creator notes the serious cyclist industry TAM is tiny and 'not worth pursuing as a business unless the TAM is expanded broadly'
  • Weather-aware and route-based training planning Another builder in the cycling space (brezza.cc) focuses on route weather and fitness conditions, suggesting adjacent opportunities

Key Takeaways

  • • Building for your own needs first (replacing a personal coach) creates authentic product depth that is hard to replicate
  • • When the direct consumer TAM is too small (serious cyclists), licensing your technology B2B to professionals (human coaches) can unlock revenue
  • • Niche AI 'wrapper' products can be resilient against big-tech competition when they accumulate domain-specific data and logic
  • • Competent SEO on a marketing site can sustain a niche product without any active promotion or paid marketing
  • • Viewing a side project as 'art rather than craft' reduces pressure and aligns expectations — any traction is a bonus
  • • Early AI adopters (GPT-3.5 era) have a compounding advantage in product maturity and training data over newer entrants

Sentiment Analysis

3 Pos

Notable Quotes

"This sounds like a great way to build a 'wrapper' product. Gather clean data on a particular niche and keep it in one place. No matter what 'startup killers' the big boys release, it's still resilient and valuable. — muzani"
"I built Repth simply to replace my (human) coach in 2022 and in that regard it has been a huge success. — mvkel"
"I look at it more as art than craft. In that way, it can only be a success. — mvkel"

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