Hi HN! I've spent the last year building The Data Workspace, a tool that makes data analysis accessible to non-technical business users while dramatically reducing the token consumption for LLMs.
Most LLM-based data tools simply throw entire datasets at models, resulting in astronomical token usage. Through a combination of zero data exposure and local query validation, I've reduced token consumption by 80% compared to standard approaches.
I'd love feedback from you, especially from those who've worked with the cost and complexity of data analysis. Would also appreciate thoughts on our approach to token optimization!
Most LLM-based data tools simply throw entire datasets at models, resulting in astronomical token usage. Through a combination of zero data exposure and local query validation, I've reduced token consumption by 80% compared to standard approaches.
I'd love feedback from you, especially from those who've worked with the cost and complexity of data analysis. Would also appreciate thoughts on our approach to token optimization!
Try it out: https://www.thedataworkspace.com/