Greetings, OpenAI community!
I’m on a journey to develop an analytical tool designed with GPTs creators and users in mind, aiming to enrich our collective understanding of traffic analysis, competitive dynamics, and the discovery of new niches for AI agent development. The objective is to craft a tool that not only serves existing needs but also anticipates future trends in GPTs applications.
In my quest for a comprehensive view, I’ve delved into current market offerings like GPTAuth and Hintloop Analytics for insights into GPTs performance. I would have included direct links for further reading, but my new account status on this forum prevents me from doing so.
I’ve also explored platforms such as GPT Traffic Track, GPTs Hunter and GPTSApp for a broader perspective on market analytics.
Furthermore, directories like AllGPTs and GPTRanked have been invaluable in understanding the diversity of GPTs available.
Despite this research, I believe the collective wisdom of this community could greatly enhance our understanding of the essential metrics and tools for GPT development and optimization. Therefore, I’m seeking your insights:
- What are the key metrics and tools you rely on or wish existed for developing, optimizing, and benchmarking GPTs?
- How do you monitor your competition and track user engagement effectively?
- What analytical strategies do you employ to identify new opportunities and directions for GPTs development?
Your experiences, challenges, and even your “wish list” for analytical tools could provide invaluable guidance in this endeavor. I’m eager to hear your thoughts and engage in a dialogue that could shape the future of analytics in the GPT ecosystem.
Thank you for sharing your insights and contributing to this collaborative exploration!