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Comparison of some open-source SSO implementations
⚠️This is not maintained. Feel free to check comments and/or forks for more current options.
Background
This was created years ago; at the time I'd been a Shibboleth admin for nearly a decade but we needed something that could handle OIDC/OAuth and that explicitly supported OpenJDK. After a lot of investigation, I really liked Keycloak/Red Hat Single Sign-On. More details here: Gluu vs keycloack vs wso2 identity management
Obsidian Web Clipper Bookmarklet to save articles and pages from the web (for Safari, Chrome, Firefox, and mobile browsers)
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Shadcn UI implementation of DataTable and Pagination components working together
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A basic test of OpenAI's Structured Output feature against financial disclosure reports and a newspaper's police blotter. Code examples use the Python SDK and pydantic for the schema definition.
Extracting financial disclosure reports and police blotter narratives using OpenAI's Structured Output
tl;dr this demo shows how to call OpenAI's gpt-4o-mini model, provide it with URL of a screenshot of a document, and extract data that follows a schema you define. The results are pretty solid even with little effort in defining the data — and no effort doing data prep. OpenAI's API could be a cost-efficient tool for large scale data gathering projects involving public documents.
OpenAI announced Structured Outputs for its API, a feature that allows users to specify the fields and schema of extracted data, and guarantees that the JSON output will follow that specification.
For example, given a Congressional financial disclosure report, with assets defined in a table like this:
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A UserPromptSubmit hook for Claude Code to stop it saying "You're right"
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This is an OPML version of the HN Popularity Contest results for 2025, for importing into RSS feed readers.
Plug: if you want to find content related to your interests from thousands of obscure blogs and noisy sources like HN Newest, check out Scour. It's a free, personalized content feed I work on where you define your interests in your own words and it ranks content based on how closely related it is to those topics.