Analytics platform tracking GPT user flows to external destinations
Built for GPT builders monetizing through external funnels.
“How do you track users leaving GPT to your API/Site/Etc.? ChatGPT ... since you cannot track activity out chatgpt using parameters ... Read more…”
The receipts — real demand
“How do you track users leaving GPT to your API/Site/Etc.? ChatGPT ... since you cannot track activity out chatgpt using parameters ... Read more”
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Every corroborating quote, the source receipts, and the community echo. One email, no payment.
Why this is a gap
Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.
The market
GPT builders and LLM app creators need to track user flows from GPT conversations to external destinations (APIs, websites, sign-ups). No search volume, but pain is specific: ChatGPT doesn't expose user exit parameters natively.
Competition & the opening
PostHog (AI/LLM analytics), Mixpanel, Segment, Langfuse (OSS), Helicone (OSS), and Arize Phoenix all offer LLM tracing and funnel analytics. The gap: a tool purpose-built for GPT-to-external-destination tracking with minimal setup and ChatGPT API integration.
What's hard to build
Integrating with OpenAI's GPT API (Actions, custom instructions) requires staying in sync with OpenAI's changes. Capturing exits from ChatGPT itself is blocked by OpenAI's architecture; the only legal path is action callbacks and URL rewrites, which limits attribution accuracy.
Why now
PostHog, Mixpanel, and Segment are generic; Langfuse and Helicone focus on LLM observability, not user exit tracking; there's a narrow gap in funnel analytics post-GPT handoff.
How you'd monetize
usage-based API ($0.001–$0.01 per tracked exit) or $99–$299/mo starter SaaS tier