Reactorcore's Revshare System
reactorcoregames.github.ioยท2dยท
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๐Ÿ’ผThrift
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I built a 100% free, elegant invoice generator so you never run into the same awkward situation I did.
invoicer.michaelandreuzza.comยท1dยท
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๐Ÿ“šTechnical Writing
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Built a Mac app that makes local AI actually simple to use
suverenum.aiยท6hยท
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๐Ÿ“ˆPerfetto
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Show HN: Unified Payment Sandbox โ€“ A UAT Env for Stripe/Razorpay Integrations
news.ycombinator.comยท1dยท
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๐Ÿ’ผThrift
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No More Embeddings, Just Gemini File Search to Get Higher Accuracy
pub.towardsai.netยท17h
๐Ÿ”RAG
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Experiments in Autonomous AI Development
kenforthewin.github.ioยท6dยท
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๐ŸŽญProgram Synthesis
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Introducing Saturon: A Grammar-Aware Runtime for CSS Color Level 5
dev.toยท4dยท
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๐Ÿฆ—Pest
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Sonic-PI
dev.toยท1dยท
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๐ŸŽจCreative Coding
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Assessing the Capabilities of LLMs in Humor:A Multi-dimensional Analysis of Oogiri Generation and Evaluation
arxiv.orgยท3d
๐Ÿ“NLP
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Beyond the Prompt: The Risks of Oversimplifying App Logic
dev.toยท2dยท
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๐Ÿ’ฌPrompt Engineering
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How being lazy made me a better developer
dev.toยท2dยท
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๐Ÿ”Reverse Engineering
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Nouveau Driver To Support Larger Pages & Compression Support With Linux 6.19
phoronix.comยท1d
๐ŸงRust for Linux
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Create Your First MCP Tool: The readFile Tool Explained
dev.toยท4dยท
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๐Ÿฆ•Deno
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Building a Smart Recommendation System: Leveraging BERT for Skill Extraction
dev.toยท1dยท
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๐Ÿ’ฌNatural Language Processing
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CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction
arxiv.orgยท3d
๐Ÿ“ŠDynamic Programming
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LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping
arxiv.orgยท4d
๐Ÿ—บ๏ธOpenStreetMap
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AI Annotation Orchestration: Evaluating LLM verifiers to Improve the Quality of LLM Annotations in Learning Analytics
arxiv.orgยท2d
๐Ÿš€MLOps
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HeatV2X: Scalable Heterogeneous Collaborative Perception via Efficient Alignment and Interaction
arxiv.orgยท2d
๐ŸŽฏVector Search
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The New AI Arms Race: How to Use GPT-4o and Google's Gemini to 10x Your Productivity
dev.toยท23hยท
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๐Ÿค–Automation
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Speculative Decoding: Making LLMs Faster Without Sacrificing Quality
dev.toยท21hยท
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๐Ÿ’ฌPrompt Engineering
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