https://slice-dice.notion.site/

Hi HN, we’ve recently sold our previous product and are currently building on new ideas. This one may be the most exciting and overlooked growth opportunity for AI products we’ve found:

TLDR: We’ve built a tool for analyzing and exploring user prompts — so you can actually understand how users are interacting with your AI product, and compare behavior across different segments (languages, paid vs free, etc).

If you’re used to Mixpanel / Amplitude / PostHog to analyze user behavior, you could notice how irrelevant they become when your product is just a chat box (or voice interface). That's because in the age of AI you don’t need button events — you need to analyze a large corpus of text.

To solve this, we’ve built what we call a Mixpanel for GenAI apps — an NLP tool to analyze and explore your user chats at scale.

We can already do:

1/ Multi-layer semantic clustering (see a big picture of all the topics and drill down)

2/ Filters and groups (compare usage between languages, demography, free/paid, etc)

3/ Latent space exploration

4/ Semantic search of prompts

5/ Topics and token usage breakdown

6/ (coming) Trends and audience drift over time

So you can answer questions such as:

- What’s the main use case of my app?

- What do users who pay the most do?

- What do users who spend the most time do?

- Which quiet audiences and use cases am I missing?

- How do the user patterns differ between languages?

- What are the new audiences we can appeal to?

Please check the link for the screenshots and instructions on how to start! Any feedback is appreciated (I don't say I won't cry if it's negative)