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Become a sponsor to Friedrich Lindenberg

I'm a freelance developer working on tools for anti-corruption. My focus is OpenSanctions, an open source database of persons of interest from sanctions, criminal and political contexts. Like a contrast dye in medical imaging, sanctions data can be an essential tool that helps financial service providers and journalists identify suspect entries in datasets.

My goal is to make OpenSanctions into a sustainable resource that provides a baseline global due diligence dataset, with both the data and the pipeline used for its generation available freely to fintechs, regtechs, investigators and analysts. Acquiring such data is a basic task for these groups, and it makes sense to pool the effort into an open dataset, rather than funding duplicate development in-house. Sponsorships on GitHub will help me maintain the existing pipeline and adding new data sources and features.

For the last six years, I've worked for the an international network of investigative journalists and built Aleph, an open source knowledge graph system that lets investigators browse leaked document sets, company registries, procurement data and financial data.

I'm based in Berlin, Germany. Get in touch if you have an interesting project you'd like to discuss with me.

@pudo

I'm hoping to make my development of global anti-corruption data and technology sustainable, in part via this sponsorship program.

Current sponsors 1

Private Sponsor

Past sponsors 4

Private Sponsor
@chriszs
@medecau
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Featured work

  1. pudo/dataset

    Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.

    Python 4,719
  2. alephdata/aleph

    Search and browse documents and data; find the people and companies you look for.

    JavaScript 1,954
  3. alephdata/followthemoney

    Data model and processing tools for investigative entity data

    Python 198
  4. pudo/normality

    A tiny library for Python text normalisation. Useful for ad-hoc text processing.

    Python 137
  5. alephdata/fingerprints

    Make it easier to compare and cross-reference the names of companies and people by applying strong normalisation.

    Python 139

10% towards 10 monthly sponsors goal

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$ a month

You'll receive any rewards listed in the $5 monthly tier. Additionally, a Public Sponsor achievement will be added to your profile.

$5 a month

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You're a user of one or multiple of my open source projects and want to buy me a beer or a coffee. That's super generous! Thank you!

$20 a month

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One of my open source project form an integral part of your stack - whether its data cleaning, integration or search.