henry_pulver
No user record in our sample, but henry_pulver has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
- Algebra Rules: The Most Useful Rules of Basic Algebra (algebrarules.com)
- Map of forest sounds from around the world (timberfestival.org.uk)
- Why Does Every AI Cycle Start with Chat? (matt-rickard.com)
- Tech Invariants (matt-rickard.com)
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Good descriptions of endpoints, parameters and fields in OpenAPI specs are useful, but slow to write. When using OpenAPI specs while building AI assistants, we found LLM tool use improves a lot if the spec is well…
- Tokenizer UI for Mistral and Claude (superflows.ai)
- The Cult of Done Manifesto (designmanifestos.org)
- Show HN: Open-source alternative to OpenAI Assistants API (superflows.ai)
GitHub: https://github.com/Superflows-AI/superflows Henry and Matt here: we’ve built Superflows - a fully open source alternative to the OpenAI Assistants API. It makes it easy to add an AI assistant to a SaaS product.…
- Lisztomania (en.wikipedia.org)
- Visualizing Optimization Algos (imgur.com)
- Game Programming Patterns – Full Book (2014) (gameprogrammingpatterns.com)
- Reworking Git branches with Git filter branch (morling.dev)
- Triple Pendulum Chaos (2017) (jakevdp.github.io)
- How to Twitter Successfully (near.blog)
- CarbonGPT: Ask questions about carbon emissions (usesuperflows.com)
- Seven Habits of Bad Interviewers (blog.thoughtspile.tech)
- The act of discovery – Jerome Bruner [pdf] (digitalauthorshipuri.files.wordpress.com)
- “What music do you like?” (ph-uhl.com)
- Rewriting Digital Content for Brevity (nngroup.com)
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Henry, Matt and James here – we’re building an open source toolkit that makes it easy to integrate an LLM-powered copilot that talks to your API into software products. It works by calling API endpoints which you choose…