Data Decision Software

Data is the most Valuable Asset.

Jobs to be Done

• Advertising
• Analytics
• Algorithmic Trading
• Business Intelligence
• Dashboards
• Marketing
• Onchain Analytics
• Spreadsheets

Capabilities

• Data Engineering

Products

• carv.io
• convex
• cooki3, #marketing onchain analytics
• dune
• grass
• hex.tech
• irys.xyz
• scale.com
• spaceandtime.io #zkp
• useplumb

Pipeline Engineering

• Mother Duck
• Duck DB
• Metaflow
• Scrapegraph-ai
• Weld

Agents

Useful tools to convert documents into knowledge, taken from eliza framework:

• folder2knowledge
• knowledge2character
• tweets2character

Example:

npx folder2knowledge <path/to/folder>
npx knowledge2character <character-file> <knowledge-file>

Context

• Agent Development

Questions

Which data toolkit component — ETL pipeline, semantic layer, or AI query interface — is most ready to be replaced by AI-native alternatives that don't require SQL or data engineering expertise?

• At what data complexity level does a dedicated data toolkit become essential versus AI agents querying raw data directly?
• How does the convergence of agent frameworks with data pipelines change the architecture for teams that currently maintain separate analytics and AI systems?
• Which data toolkit bottleneck — ingestion latency, query performance, or model freshness — is most commonly the reason analytics projects stall before producing value?