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by freakynit 178 days ago
Cool product.. and looks excellent.. but...

Did you just copied the tagline verbatim from my product: https://zenquery.app/ ?

"Ask questions about your business data in plain English"

2 comments

The project was vibe-coded by the author and hence, likely the LLM created that tagline as well. Your service is around a year old (based on https://news.ycombinator.com/item?id=44321099) and LLMs might have picked it up already and also the tagline is straight forward business talk, so no big surprise that multiple people and LLMs come up with the same idea.
You have a point. There's high chance it might have become part of training data.

Thanks..

Hey, I did not. As mcbetz mentioned, I tried vibe-coding and anything you see is generated by LLMs. He linked to my blog post where I summarized the journey.

ZenQuery looks nice, I like the focus on supporting regular files.

No worries.. even if it were copied, it would have made me feel proud. Nevertheless, I saw it now that's its actually fully vibe-coded... so, high chance my product's webpage was part of it's training data..

I did download your product ans using it for postgres. Was using dbeaver earlier, but, it's tooooo messy in it's UI.

Thanks..

Yeah, I've noticed similar things with my projects. Hard to avoid these days I think.

Awesome, thanks for being an early adopter!

I got some great feedback already, so I'll continue building it out.

Roadmap: - Release binaries for Intel Mac, Linux, Windows - Add / test support for more database engines - Wrap up the LLM integration

Holidays are coming up, it may be a productive time haha

Awesome... for databases containing large number of tables, you can pre-process the tables and generate embeddings for each. Then, when user asks a question in plain english, filter relevant tables using in-built vector search and pass metedata of these only as context to LLM.

Happy Holidays..