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Become a sponsor to Friedrich Lindenberg
@pudo

Friedrich Lindenberg

pudo
Berlin

I'm a freelance developer working on tools for anti-corruption. My focus for 2021 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 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, and available for contract work. Get in touch if you have an interesting project you'd like to discuss with me.

@pudo

Is this on? I want to experiment with the idea of making my open source work more sustainable by inviting corporate users of tools like OpenSanctions or dataset to free up some of my time via a recurring donation. Promise to write lots of clean code in return.

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 4,056
  2. alephdata/aleph

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

    JavaScript 1,491
  3. pudo/opensanctions

    An open database of international sanctions data, persons of interest and politically exposed persons

    Python 172
  4. alephdata/followthemoney

    Data model and processing tools for investigative entity data

    Python 116
  5. pudo/normality

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

    Python 101
  6. alephdata/fingerprints

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

    Python 94

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$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!

$100 a month

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As a commercial user of OpenSanctions, you are using the data in an experimental context or for prototyping new features. You will receive email updates about the project, including advance notice and discussion on format and system changes.

$200 a month

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As a commercial user of OpenSanctions, you are using the datasets in a production setting. With this tier of support you are making a substantial contribution to guarantee the continued operation and growth of the project - while still investing much less into the dataset than it would cost to generate and maintain in-house.

$500 a month

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You have identified OpenSanctions as a strategic asset to your organisation and wish to engage in the project as a partner. You will receive in-depth support from me, including up to a day of consulting each month. You will be consulted for any breaking changes in the dataset.