Research · Case study

InvestingStack

A research product that makes AI systems easier to inspect.

By · Updated

A curated ecosystem directory, source-linked research and reusable datasets.

Project period
Sep 2026 – present
Role / relationship
Creator & editor

Ownership disclosure: David Bartas is the founder of Investboard and creator of InvestingStack. This case covers his own product or work in the Investboard ecosystem.

02 / InvestingStack

Build trust into the content and the data model.

  1. 01Source evidence
  2. 02Structured research
  3. 03Reusable records
Conceptual workflow · Explore the linked product or source

The question

Repository popularity and broad AI claims tell readers little about how a system works, which data it uses or where its limitations sit.

The work

Structure the ecosystem into a browsable directory and publish research with explicit sources, version boundaries and reusable evidence. Make the distinction between a documentation review and an observed test visible.

What was delivered

  • Directory of AI agents, models, data and infrastructure
  • Research articles with linked sources and methodology
  • Downloadable audit data and a reproducible case-study protocol

The public result

The English and German site publishes an audit of 20 open-source repositories and a connector case study. Readers can inspect the supporting data, methods and stated limitations.

Sources and public evidence.

The project period is separate from this page’s publication date. The case reports the stated scope and public evidence; it does not claim a measured commercial or investment outcome.

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