[open sourcing q] We're taking on Zapier, Make and n8n with no funding, and a small team
📊Columnar Engines
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Automated PDF Generation with Typst
🏗data engineering
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Rapid-eks – Production EKS in 13 minutes with Terraform + Python
hackernoon.com·6d
☁️AWS Infrastructure
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1,500+ PRs Later: Spotify’s Journey with Our Background Coding Agent (Part 1)
🔬Code Analysis
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Quantifying the reasoning abilities of LLMs on clinical cases
nature.com·5d
🏗data engineering
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Survey: Where AI Reduces Toil and Where It Still Falls Short
thenewstack.io·5d
👁️Observability
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Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem
arxiv.org·1d
🧬Optimization Algorithms
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Building Smarter Real Estate Models: From Spreadsheets to Predictive Feasibility Tools
🏗data engineering
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NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
arxiv.org·2h
⚙️Query Compilers
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DiagnoLLM: A Hybrid Bayesian Neural Language Framework for Interpretable Disease Diagnosis
arxiv.org·1d
🤖AI
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Large Language Models for Scientific Idea Generation: A Creativity-Centered Survey
arxiv.org·2h
📔Scientific Notebooks
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Why I Built DataForge — and How I Automated Excel-to-PDF Generation with Python
⚡DataFusion
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Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective
arxiv.org·1d
📔Scientific Notebooks
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Navigating the Ever-Evolving World of IT: Trends, Challenges, and Innovations
☁️AWS Infrastructure
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The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)
towardsdatascience.com·15h
🏗data engineering
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10 Polars One-Liners for Speeding Up Data Workflows
kdnuggets.com·5d
🐻Polars
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