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
Autonomous AI employee built with OpenClaw deploys 3 products in 2 hours
A non-developer created an AI employee named Cipher using OpenClaw that built 3 products, designed landing pages, deployed them live, created Stripe payment links, and tweeted the launch in 2 hours. The system runs 24/7 on a $32/month cloud server.
OpenClaw and Remotion Pipeline for Automated Video Editing
A developer describes an agent-driven workflow using OpenClaw for orchestration and Remotion for rendering to automatically create 20 Reels from 400+ clips, with filtering, JSON-defined montages, and batch processing.
Controlling Claude Code via WhatsApp with Channels Feature
A developer connected WhatsApp to a running Claude Code session using the Channels feature (v2.1.80+), enabling text messages, voice notes with Whisper transcription, and voice replies with OpenAI TTS to interact with the same CLI session.
Using Claude Haiku as a Gatekeeper to Reduce Sonnet API Costs by 80%
A developer built a two-stage pipeline using Claude Haiku to filter out 85% of unstructured text before sending only relevant content to Claude Sonnet, reducing API costs by approximately 80% when processing thousands of comments.