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Entrepreneurial Journey and Strategy

Aug 11, 2025

Summary

  • This was an in-depth interview with Zach Yadgari, a 17-year-old entrepreneur making over $1 million/month with his app Calorie AI (Cal AI), which uses AI to estimate food calories from photos.
  • Key topics included Zach’s entrepreneurial journey starting from age 7, building and selling a gaming website, how Cal AI was ideated, and the influencer-driven marketing strategy used to scale rapidly.
  • The discussion covered company structure, marketing tactics, product design, and Zach’s views on scaling, product virality, and future ambitions.
  • Zach shared actionable insights on influencer dealmaking, launching app studios, and creating tools for influencer campaign management.

Action Items

  • (None explicitly mentioned with deadlines, but notable next steps inferred from context)
  • Early December – Zach: Launch the influencer marketing platform Viral.tech publicly.
  • Zach: Continue development and scaling of new health and fitness apps for the app studio.
  • Zach: Assess and adjust Cal AI’s marketing and product features based on ongoing testing (e.g., Thanksgiving campaign, onboarding AB tests).
  • Zach: Begin influencer-driven Thanksgiving campaign (app free for the day), track results and user engagement.
  • Zach: Continue refining and publicly sharing internal influencer management tools and strategies.
  • Zach: Start payout to founders as Cal AI’s App Store cash flow cycles allow (expected in the next 1–2 months).

Zach’s Entrepreneurial Journey and Background

  • Began programming at age 7, inspired by a desire to create video games.
  • Built and monetized an unblocked gaming website at age 13, reaching 5 million users and $660k/year revenue; sold it for $100,000 at age 16.
  • Transitioned into mobile apps after seeing other young founders’ trajectories stagnate.
  • Co-founded Cal AI with three others (two teens, two adults).

Development and Product Ideation for Cal AI

  • Identified outdated, complex calorie tracking apps as a market gap—Cal AI was conceived as a simple, viral alternative.
  • Used ChatGPT technology to enable instant food calorie scanning via photo.
  • Focused app only on tracking calories, carbs, protein, and fat to keep it simple and user-friendly.
  • Decision to be a premium-only app with a $30/year or $10/month subscription and three-day free trial; all users go through an onboarding sequence tied to higher conversion rates.

Influencer Marketing Strategy and Tactics

  • Early growth driven by Zach directly DMing thousands of fitness influencers and iteratively refining outreach.
  • Uses a CPM (cost per thousand views) and RPM (revenue per thousand views) model to negotiate and ensure profitable influencer partnerships.
  • Offers bundled deals (e.g., paying upfront for four videos/month) to secure recurring influencer content at better rates.
  • Focuses on seamless product integration—no obvious “ad reads,” leveraging natural influencer content styles.
  • Manages and tracks influencer campaigns using internal tools (soon to be released as Viral.tech), including attribution by correlating app downloads and video views.
  • Employs tactics like pinning comments, community engagement in the comment sections, and planting comments to improve discoverability and conversion.

Scaling, Team, and Future Vision

  • Cal AI has 12 team members (4 co-founders, 8 staff); company is entirely bootstrapped and runs at ~50% profit margin.
  • Core team includes high schoolers and older co-founders.
  • Plans to beat MyFitnessPal by scaling revenue and market share; sees potential for acquisition or significant exit.
  • Building an “app studio” leveraging their influencer network to quickly launch other inherently viral health/fitness apps.
  • Launching a public SaaS platform for influencer campaign management (Viral.tech).
  • Scaling decisions informed by investment in team, design, marketing, and new channels (e.g., paid ads, TV ads).
  • Experiments with virality mechanics (e.g., Thanksgiving free day, encouraging story shares, viral content prompts).

Insights on Product Development and User Psychology

  • Key lessons: simple onboarding with intentional, even “fake” questions increases conversion.
  • Education and user support are critical as many expected AI accuracy beyond current capabilities (e.g., “x-ray” food scanning).
  • Paid Apple Store search ads are used as a benchmark for product-market fit (profitable ads indicate a superior product).
  • User retention and monetization are tracked closely; app is cash flow positive and reinvests earnings continuously.

Reflections on Personal Growth and Philosophy

  • Zach values social experience in high school despite business success; is undecided about attending college, planning a gap year and moving cities.
  • Views entrepreneurial journey as a stepping stone toward larger, impact-driven goals (e.g., “iPhone for your brain,” neural-link style innovations).
  • Emphasizes that anyone, regardless of age, can start and succeed in tech entrepreneurship, especially with new AI tools.

Decisions

  • Cal AI will remain a premium-only app — Supported by higher conversion rates during onboarding and clearer monetization results.
  • Bundling influencer deals and recurring monthly retainers as primary marketing strategy — Proven most cost-effective for acquisition and long-term engagement.
  • App studio focus will remain on health/fitness apps with inherent viral potential — Maximizes the existing influencer network and proven go-to-market strategies.
  • Internal influencer marketing platform (Viral.tech) to be launched publicly — To capitalize on widespread industry need and first-mover advantage.
  • Reinvestment of all profits during growth phase — To sustain scaling and marketing momentum, with plans for eventual payouts as cash flow stabilizes.

Open Questions / Follow-Ups

  • Will the Thanksgiving free campaign meaningfully affect user acquisition or retention? (to be evaluated post-campaign)
  • What are the long-term LTV and retention metrics for Cal AI, given its youth (launched 6 months ago)?
  • How effective will scaling into additional paid channels (TV, Google, etc.) be as compared to current influencer-first strategy?
  • How will the new public influencer marketing tool (Viral.tech) be adopted by other app marketers?
  • Will launching multiple apps in parallel dilute focus or complement Cal AI’s growth as planned?
  • What product improvements or new features may be necessary as user expectations around AI accuracy and feature set evolve?