OpinioAI

@lukasmehnert1 Thanks Lukasi!

@zane_maum Thanks Zane! :) And that's a great question. Let me reply with the same answer I had in some thread earlier: We approach the data sources from three different angles: first, LLMs themselves; second, user data and through embeddings; third, fine-tunning model based on existing data. As you can see two out of three are based on our user's input. As for the LLM (and they're the foundation of the entire approach) scientists have discovered their unique power to precisely replicate human opinions. (Check this blog post here where we list some of the research: https://www.opinio.ai/academic-r...) Now just to be clear: we think that the AI cannot replace human participants in research, yet. 😀 But what we have now is great for a hybrid approach, and definitely for some testing and prototyping. And we also hear from our clients some amazing things that they've discovered. We're just at the start of this revolution. Great improvements are ahead of us I'm certain of it.

@michaela_ortega if you can share e bit more about what are you referring to? Like a historical overview of all research you did or?

@andreas_sohns Thanks Andreas, indeed thats why we're building it. :)

@dan16 Thanks Dan, at the moment we cant integrate with anything. But it's on the roadmap. Any tool you'd like to see connected first?

@nikola_kozuljevic personally I’m always looking for a better ways to analyze App Store app performance data. And correlate it to ads data from things like Facebook ad manager and App Store ads.

@dan16 I think this will be beyond our scope at the near-to-medium future. :/

@andrewphilip Thanks for understanding and support!

@mansur_inanc 100% Thanks! :)