I built *valuepulse.ai* out of a frustration I kept running into: everything is scattered across different tools. If I want to search internal knowledge, I use something like Glean. If I want to analyze data, I switch to a BI tool or a data agent. And if I need external context, I’m back to Google or Perplexity.
Even with all the progress in generative AI, it still feels pretty disconnected.
So I wanted to see if it’s possible to bring search (both web and enterprise) and analytics into one place.
The core idea behind Valuepulse is a *context layer* that models a company’s business domain (customers, revenue, operations, etc.) and sits across different data sources (structured and unstructured). On top of that, I built:
* natural language → dashboard generation (similar idea to tools like Replit/Lovable, but for BI), using agents like text-to-SQL and visualization selection * a data agent that can query databases and warehouses in plain English * unified search across internal docs and the web using vector search
It’s still early (beta), but I’d really appreciate feedback—especially on whether this feels useful for real business users (non-technical) or where it might break.
Comments URL: https://news.ycombinator.com/item?id=47802054
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