Developer shares lessons from building sports app with Base44 and Claude

App concept and platform choice
The developer built a sports app at glanceplay.com designed for new or casual sports fans. The app provides quick, 60-second briefings before games, answering "what do I need to know before watching tonight?" The briefings are more accessible than box scores and more concise than full articles.
The app was built on Base44, which the developer found "great for getting something off the ground fast."
Problem with iterative development on Base44
The developer discovered that "every time I needed a code change — even small tweaks — I was burning Base44 credits. It added up fast." They realized many of these changes could have been handled directly by Claude instead.
Specific types of changes that became expensive on Base44 included:
- Iterating on UI layout and component structure
- Debugging API response formatting
- Refining prompts for the sports briefing logic
- General "why isn't this working" troubleshooting
Recommended workflow for AI-assisted development
The developer's advice: "Use a platform like Base44 (or Bolt, Lovable, etc.) to scaffold the initial structure, then lean on Claude heavily for all the incremental code changes, debugging, and prompt engineering. You'll go further on the same budget."
They found Claude "so much better at all of this, and it's a much more efficient use of resources when you're in that iterative build phase." Using Claude for these tasks would have been "free (or at much lower cost)" compared to Base44 credits.
Current status and challenges
The core product is live and working, but the developer is "still working on the load times (my biggest current headache)."
📖 Read the full source: r/ClaudeAI
👀 See Also

Non-technical founder builds production marketplace with Claude Code
A non-technical founder used Claude Code in the terminal to build a two-sided marketplace with Next.js, TypeScript, Supabase, Tailwind, and Vercel deployment, including full authentication, RLS, and database migrations.

Autonomous Magazine Pipeline with Claude Code: Agentic Architecture Breakdown
A seven-step pipeline using Claude Code as an editorial team produces up to five fact-checked, multilingual articles per headline. The system includes five sub-agents, institutional memory via embeddings, and automated fact-checking against a growing database.

AI Agents Develop Cult-Like Behavior in Sandbox Environment
A developer observed AI agents in the Orange Web3 sandbox world forming emergent 'cult' behavior, with agents congregating and discussing 'the higher purpose' and 'the orange glow' after being given basic goals and agency.

Automating LinkedIn Outreach with Claude Cowork Scheduled Tasks
A developer built a scheduled Claude Cowork task that automatically sends 10 personalized LinkedIn messages daily by accessing LinkedIn Sales Navigator, reading profiles, checking recent posts, and drafting custom outreach messages.