Video summary

The First App I Ever Built Makes $25K/Month

Main summary

Key takeaways

Business

Business Outcome / Traction

  • Tone Up (website + mobile app) helps guitarists “sound like their favorite song” by mapping song tones to a user’s specific guitar + amp + pedal setup.
  • Speed to market: Built V1 in ~1 week, then moved quickly to a mobile app.

Revenue & Subscriber Metrics

(Metrics shown via Stripe/analytics; mobile app shown separately.)

  • Past 4 weeks:
    • ~$11.5K revenue (website/mobile segment noted separately)
    • ~$14K on the mobile app
    • Combined claim: over $25K/month
  • Mobile app: 397 active subscribers in the past month since launch.
  • Last 3 months:
    • $45K on the website
    • 1,400 new subscribers (website)

Pricing

  • $10/week weekly subscription
  • ~$60/year annual plan

Product / Value Proposition (What They Built)

Core Workflow

  1. User inputs:
    • Guitar model
    • Amp model
    • Optional effects/pedals
  2. User selects a song
  3. The tool returns:
    • Recommended presets/settings matched to the user’s gear
    • Pickup choice
    • Signal chain + amp/effects adjustments
    • Target output time: under 30 seconds to get setup guidance

Content / Asset Coverage

  • 1,500+ guitars
  • 2,000+ amps

Example Highlight

  • Search “Hotel California” (The Eagles) → the tool outputs the artist’s likely gear + estimated amp settings, then adapts recommendations to the user’s actual equipment.

Tech Stack & Operational Execution (How They Shipped Fast)

Built with a modern, API-first stack:

  • Cursor / “vibe coding” for full development
  • Supabase (database)
  • Vercel (hosting + backend API routes)
  • Mailgun (emails)
  • Stripe (payments)
  • OpenAI API + Tavily web search API (tone data / lookup logic)
  • RevenueCat (subscription/payment tracking for iOS workflows)
  • Superwall (paywalls + A/B testing experiments)
  • Analytics included via Vercel (and other tooling mentioned)

Mobile App Note

  • Built in Swift natively (after the web-first launch).

Go-to-Market (GTM) Playbook: Content → Subscribers Loop

Primary Growth Engine (Described as “Dead Simple”)

  • One viral video → repeatable content system
  • Posting & distribution:
    • 3 posts per day
    • Reposted across Instagram, TikTok, YouTube, Facebook
    • Put his face behind the brand immediately to build trust
  • Conversion scaling once a format works:
    • “Once formats converted, I scaled those formats aggressively”
    • Remake the winning content ~50 times with small variations
    • Hire UGC creators to copy the converting format ~60 times/month
    • Add paid distribution (after formats prove): Meta ads + TikTok ads

Actionable Framework (Winner-Takes-Most Loop)

(Not named explicitly in the text, but presented as a process.)

  • Post relentlessly (3/day) → find content that converts
  • Treat the first converting piece as the template
  • Create many variants of the template
  • Scale distribution (UGC + paid ads) once conversion is validated
  • “Ride it until it dies,” then find the next winner

Idea Selection & Product Strategy (Why This App Won)

Build from Personal Pain (Zero Guesswork)

  • Pick a niche/hobby you do frequently:
    • For him: guitar almost daily for >1 year
  • He directly experienced the problem:
    • ChatGPT produced inaccurate guitar tones

Validation via Market Inference

  • A “tiny problem” often means thousands to tens of thousands of people share it
  • Instead of formal research, he used community confirmation:
    • Conversations on Reddit and Instagram comment sections

Avoid Overbuilding (Ship and Learn)

  • Advice: ship V1 on the web immediately and start charging quickly for feedback + revenue
  • Don’t over-optimize branding early:
    • “Don’t spend hours picking a logo”

Pricing / Monetization Tactics

  • Multiple subscription tiers early:
    • Weekly ($10/week) + annual (~$60/year)
  • Conversion optimization tooling:
    • Superwall for paywalls + A/B testing experiments
    • RevenueCat for subscription management and tracking

Concrete Recommendations (Actionable Playbook)

  • Ship V1 fast (web-first)
    • Deploy “tonight,” so you can get paid “by tonight” if needed
  • Post daily for at least a month
    • Commit to 3 posts/day to learn which formats convert
  • Use iteration based on conversion
    • Find one converting asset → remake it repeatedly with variants
  • Scale after proof
    • When content converts: produce many variations, hire UGC creators, and add Meta/TikTok ads

KPIs Mentioned (Explicitly Stated)

Revenue

  • ~$25K/month combined claim
  • ~$11.5K in the past 4 weeks (Stripe dashboard segment)
  • ~$14K in the past month (mobile app segment)
  • $45K website revenue in prior 3 months

Subscribers

  • 397 active subscribers (mobile app, past month)
  • 1,400 new subscribers (website, past 3 months)

Catalog / Input Coverage

  • 1,500+ guitars
  • 2,000+ amps

Speed Metrics

  • Build V1 in ~1 week
  • User value time: results “under 30 seconds”

Presenters / Sources

  • Kian — founder of Tone Up / Tone Detects (tone adaptation app)
  • Pat Walls — host/editor of Starter Story
  • Gus — producer of Starter Story (commentary during/after the interview)

Original video