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TrainZilla
Your fitness coaching business, run by an AI agent.
TrainZilla now runs on a real agentic AI layer on both sides of the marketplace: an AI assistant built into the Coach app, an AI Coach subscription inside the client app (personalised workout/nutrition/habit plans, weekly adjustments, 24/7 chat) for people without a coach, and a live MCP server (23 tools) for external agents like Claude. AI that acts, not just chats.
Hey Product Hunt 👋
I'm Nitish — founder of TrainZilla, and this is our third launch here.
v1 was "we built an all-in-one coaching platform." v2 was "stop juggling five apps." This one's different: we've spent the last few months turning TrainZilla into something you can actually hand tasks to — on both sides of the marketplace.
For coaches: an AI assistant built right into the Coach app, plus a live MCP server (api.tzilla.live/mcp) with 23 tools that plug straight into Claude and other external agents — client management, TDEE/macro calculations, workout & diet plan generation, habit tracking, session scheduling, and billing.
For people who don't have a coach yet: an AI Coach subscription inside the free client app (from ₹499/month) that builds a personalised workout, nutrition, and habit plan in minutes, adjusts it every week based on check-in data, and is available for 24/7 coaching chat — with a one-tap upgrade to a real human coach whenever they're ready.
Practically, that means a coach can say "build John a 12-week strength plan and adjust his macros for a cut" and the agent just does it — and someone with no coach at all can get a real, evolving programme before they finish their coffee.
We're live on web, iOS, and Android, with ~100 coaches already using it day to day. Would love your feedback — especially from anyone who's tried wiring AI agents into a real business workflow (not just a chatbot widget).
Happy to answer anything about the MCP setup, the AI Coach product, or just fitness-business stuff in general. 🙏
About TrainZilla on Product Hunt
“Your fitness coaching business, run by an AI agent.”
TrainZilla was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #114 on the daily leaderboard. TrainZilla now runs on a real agentic AI layer on both sides of the marketplace: an AI assistant built into the Coach app, an AI Coach subscription inside the client app (personalised workout/nutrition/habit plans, weekly adjustments, 24/7 chat) for people without a coach, and a live MCP server (23 tools) for external agents like Claude. AI that acts, not just chats.
On the analytics side, TrainZilla competes within Android, Productivity, Artificial Intelligence and Fitness — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how TrainZilla performed against the three products that launched closest to it on the same day.
Who hunted TrainZilla?
TrainZilla was hunted by Nitish Gulati. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of TrainZilla including community comment highlights and product details, visit the product overview.
Nitish Gulati