What is Self Thinking Data?
Self thinking data manifests enable data artifacts, including documents, to guide their own interpretation by LLMs, creating interactive, self-directing experiences that preserve author intent while unlocking new analytical capabilities.
Problem
Users manually prepare and interpret data for LLMs, which is time-consuming and risks losing author intent.
Solution
A data artifact platform where documents autonomously guide LLM interpretation, enabling interactive, self-directing analysis while preserving author intent.
Customers
Data scientists, AI researchers, and business analysts needing efficient, intent-preserving data analysis with LLMs.
Unique Features
Data artifacts autonomously contextualize themselves for LLMs, eliminating manual preprocessing and ensuring author intent is maintained during analysis.
User Comments
Saves hours of data preprocessing
Enhances LLM accuracy with contextual guidance
Intuitive drag-and-drop interface
Preserves document integrity
Ideal for complex datasets
Traction
Launched 3 months ago with 500+ upvotes on ProductHunt
Active engagement from AI/ML communities
Founder has 1.2K followers on LinkedIn
Market Size
The global data preparation tools market is projected to reach $12.9 billion by 2026 (MarketsandMarkets, 2021).
