Datachef: The full-stack data platform for humans & agents

I’m Joe. I’m a data engineer, and I built Datachef because I got tired of maintaining the disjointed data stack (Fivetran, Airbyte, Airflow, Snowflake, Redshift, S3, dbt, Looker, Tableau, a reverse-ETL tool, etc.) and being a middleman for business users that just wanted to self serve.

Datachef is one managed platform where you can:

Connect your business systems (Salesforce, Marketo, Hubspot, etc.) and/or databases (Postgres, MySQL) with a few clicks; no need to stand up ETL infrastructure. We provision a data lake and handle the full and incremental data sync for you.
Explore your data via natural language or write SQL directly.
Model how data is combined, filtered and aggregated. Create a shared system of intelligence.
Share models across the org so every query, report and slide deck tells the same story.
Integrate data back into your business systems — account scores, advanced segmentations and key events.

We recently shipped a Claude connector which allows you to run complex, multi-step/multi-dataset analysis, and create or update your models and sync settings directly from Claude.

I’d love feedback, especially from anyone who has run the modern data stack and has opinions on what consolidating it should and shouldn’t give up.

Datachef is one managed platform where you can:

Connect your business systems (Salesforce, Marketo, Hubspot, etc.) and/or databases (Postgres, MySQL) with a few clicks; no need to stand up ETL infrastructure. We provision a data lake and handle the full and incremental data sync for you.
Explore your data via natural language or write SQL directly.
Model how data is combined, filtered and aggregated. Create a shared system of intelligence.
Share models across the org so every query, report and slide deck tells the same story.
Integrate data back into your business systems — account scores, advanced segmentations and key events.

We recently shipped a Claude connector which allows you to run complex, multi-step/multi-dataset analysis, and create or update your models and sync settings directly from Claude.

I’d love feedback, especially from anyone who has run the modern data stack and has opinions on what consolidating it should and shouldn’t give up.