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Chad Dyar
Chad Dyar

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I Built 6 AI-Powered Web Apps While Working Full-Time — Here's the Stack and What I Learned

Over the past 18 months, I shipped 6 AI-powered web applications while holding down a full-time Director-level role in sales enablement. Here's a quick overview of each app, the tech stack, and what I learned along the way.

The Apps

1. ContentForge HQ

Paste one blog post, get platform-native content for LinkedIn, X, Instagram, email newsletters, and more. Built for creators tired of manually rewriting the same idea 8 different ways.

Try it: contentforgehq.com

2. PawFormance

AI-powered dog wellness tracker. Log meals, walks, vet visits, and medications. The AI spots trends and gives personalized recommendations.

Try it: pawformance.com

3. Momentum

Fitness and nutrition tracker with AI-driven insights. Set goals, log workouts, track macros.

4. PillPal

Medication and supplement tracker with smart reminders.

5. Palette Pro

AI color palette generator for designers.

6. HomeGrown

Garden planning assistant with AI recommendations.

The Stack

  • Frontend: Lovable (React-based)
  • Backend: Replit
  • AI: Claude API (Anthropic)
  • Payments: Stripe
  • Hosting: Netlify + Replit
  • Database: Neon (PostgreSQL)

Key Takeaways

  1. Ship fast, iterate faster. Every app launched with a minimal feature set.
  2. AI as a co-builder. Claude helped write code, debug, and draft copy.
  3. Free tiers matter. Removes friction and builds trust.
  4. Side projects compound. Each app made the next one faster.

If you're thinking about building with AI, just start. The tools are better than ever.


I'm Chad T. Dyar — author of 15 books, executive coach, and AI strategist. chadtdyar.com

Top comments (1)

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Chad Dyar

Update: ContentForge just went live on Hacker News as a Show HN.

If you want to see the tool in action or have feedback on the content repurposing approach, here's the thread:
news.ycombinator.com/item?id=47289794

And you can try it free at contentforgehq.com — 3 repurposes/month on the free tier. Would love to hear from anyone who creates content across multiple channels whether the outputs feel genuinely platform-native or still read like generic AI rewrites.