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Erdos

Open-source AI-powered data science IDE for secure analysis

Developer tool / API SaaS & software Show HN · launch post · ▲ 86

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lotas.ai

What it does

Erdos is an open-source IDE designed for data science work. It incorporates AI capabilities to assist with analysis tasks. The tool emphasizes security as a core feature, positioning itself as an alternative to existing data science environments.

Who it is for

The product targets data scientists and analysts who want AI-powered assistance within their development environment. It appeals to teams concerned about data security and those who prefer open-source tooling. Given the founders' prior work on Rao for RStudio, there may be particular relevance for R-focused practitioners, though Erdos appears positioned as a broader IDE.

Pricing

The site does not show prices.

How it stands out

Erdos is positioned as an open-source alternative in a space where commercial options like Cursor dominate. The founders previously built Rao, an AI assistant layered onto RStudio, and Erdos appears to represent a step toward a standalone IDE rather than an extension. The security focus differentiates it from consumer-grade AI coding tools, which may appeal to enterprises or regulated industries handling sensitive data. Being fully open source removes licensing concerns and allows self-hosting, a meaningful advantage for organizations with data residency requirements.

What a founder should check

Anyone considering a competing product should verify the actual adoption rate of open-source data science IDEs versus commercial alternatives. Jupyter, JupyterLab, RStudio, and VS Code with extensions already dominate the space; understanding what switching costs prevent users from adopting Erdos is critical. A founder should also assess whether the AI-assisted coding market is consolidating around specific vendors like Cursor or Claude, making it harder for a new IDE to compete on that feature alone. Finally, investigate the security differentiation carefully: determine whether data security is truly a top pain point for the target customer segment or whether it is table stakes. If data residency and air-gapped deployment are the main selling points, the addressable market may be narrower than it appears, limited primarily to enterprises with strict compliance requirements.

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