Insight for: Show HN: 2 weeks of coding, 3 months of OpenAI review, my ChatGPT App is live

Tredict endurance sports training platform integrated as a ChatGPT App and Claude.ai widget.

Analyzed: Apr 28, 2026

This submission highlights the complexities and opportunities of integrating established SaaS platforms with emerging LLM ecosystems. The Tredict app demonstrates advanced integration via interactive MCP UI widgets, moving beyond simple tool-only interactions. The challenge of handling user-authenticated content within sandboxed iframes reveals significant architectural hurdles for secure, dynamic LLM integrations. The performance disparity between ChatGPT and Claude.ai for complex planning tasks underscores the varying capabilities of LLM hosts, impacting feature delivery and user experience. This case study provides critical insights into the evolving landscape of LLM app development, particularly regarding authentication, context management, and host-specific limitations.

ChatGPT App Directory user-authenticated content iframe widgets sandboxed iframe OAuth tokens context window MCP UI Apps Claude.ai structured training plans periodisation mixed sport types individualised intervals MCP-compatible host

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Show HN: 2 weeks of coding, 3 months of OpenAI review, my ChatGPT App is live

Score: 4