FRESH
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Hacker News Hacker NewsA few questions:
- How do you think about competing with ChatGPT Canvas or Anthropic's artifacts, when these are shareable, native experiences in their products where users already work?
- Is a "dashboard" limited to analytics or are you trying to expand it to include written reports?
Since teams are connecting MCPs like Granola, Slack, I imagine BitBoard would facilitate sharing demos, PRDs/briefs, or customer reports. This seems like a natural expansion and trivial functionally, so I'm wondering if that's part of the sell now or something you're looking at expanding into as you grow.
I hear this all the time, I still don’t think it’s a good justification to build a BI tool, but I hope this time it is different.
Product looks cool! I’m hopeful that agents do actually unlock business analytics and we can move on from the BI concept
Edit: a rough explanation of why you get pulled towards data problems is that they are intractable symptoms of upstream process issues. Customer sees a capable startup and co-opts them into trying to solve their tarpit problems. Happens all the time!
For example, MIT-licensed sqlite vector search extension.
Overall, I have a orchestrator - sql coder - js coder - dashboards, all without backend, running locally in the browser. It's mostly tested on small analysis and question answering with Gemini Flash Lite, and the overall target was speed from question to answer, including data sharing and waiting.
> Agents made bad inferences because they had no context on the business
We've been working on this since before the chatgpt launch.
We started with a semantic layer since there were already good open source options and LLMs at the time were good at writing the JSON (remember function calling?) to run a semantic query.
But as LLMs have gotten smarter and people wanted to do more data work in agents, we found we needed something more flexible, so we built an "Ontology" that lets you store all the terms you use in your company and connect them to the data points (e.g. tables, columns, metrics) that matter.