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FloodLAMP Biotechnologies was a small public-benefit company that developed and deployed decentralized molecular COVID-19 testing during the pandemic.
This page is a guide to the public archive: what it contains, how it is organized, and how to use it effectively.
This archive of approximately 200 primary files has been prepared in "AI-ready" form. The intention is for the user to download all or portions of the archive and then utilize the zip and combined markdown files with their AI tool of choice.
FloodLAMP was a pandemic-era effort to build low-cost, decentralized molecular COVID-19 testing based on RT-LAMP and related workflows.
The work spanned assay development, validation documents, pilot deployments, software, operations, regulatory submissions, and broader thinking about open-access diagnostics.
The archive preserves both the technical materials and the surrounding context: what was built, how it was used, what worked in practice, and what broader lessons emerged from the effort.
This archive is a curated public release of documents from FloodLAMP's operating period and its closeout work.
It includes original working files, converted markdown versions, combined commentary files, pilot data materials, regulatory documents, whitepapers, presentations, and related reference material.
The archive is organized into four top-level categories: Guides, Pilots, Regulatory, and Various. Those categories are the main navigation structure for this site.
Most of the archive has been prepared in markdown specifically so it can be searched, summarized, compared, and synthesized with AI tools.
A good workflow is to start with one category or subcategory, describe your background and what you want to learn, and then give an AI system the most relevant files or combined markdown bundles.
If you want to browse individual materials, the category pages and linked commentary files are the best starting point.
If you want to work with the archive at scale, the GitHub repository, combined markdown files, and zip bundles are the better access paths.
Use the public repository for direct file access, archive browsing, and stable links into the markdown corpus.
Open the repositoryThese are especially useful when you want to load a larger slice of the archive into an AI tool for synthesis, comparison, or targeted research.
Specific combined-file and bulk-download links can be added here as the homepage is refined.