Show HN: Grid Mapper โ€“ a routing tool for finding safe, fun ways through cities
gridmapper.ccยท2dยท
Discuss: Hacker News
๐Ÿ“ŠData Visualization
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Ramanujan's Hidden Clue to the Riemann Hypothesis
link.springer.comยท1dยท
Discuss: DEV
๐Ÿš€Science Fiction
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How to Fix Breakdowns in Communication
themarginalian.orgยท2d
๐Ÿ‘ฅsociology
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No Competition? That's Usually a Red Flag for Solopreneurs
meysam.ioยท18hยท
Discuss: Hacker News
๐Ÿš€Science Fiction
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Statistical mechanics for networks of real neurons
link.aps.orgยท1d
๐Ÿ“ŠData Visualization
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The company at the heart of the AI bubble
theverge.comยท18h
๐Ÿš€Science Fiction
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It had to happen
aardvark.co.nzยท16h
๐Ÿš€Science Fiction
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We Built a Free Tool to Show You What's Wrong with Your Content
themeisle.comยท1dยท
Discuss: Hacker News
๐Ÿ“ŠData Visualization
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Aryaka Announces Unified SASE as a Service 2.0, Evolving Platform for Era of Hybrid Workforce and AI
zawya.comยท1d
๐Ÿš€Science Fiction
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Dealism Launches the First AI Sales Agent Built on Vibe Selling -- Transforming How Businesses Sell and Build Trust
prnewswire.comยท20h
๐Ÿ“ŠData Visualization
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I taught Claude my 15-year productivity framework and it got weirdly empathic [GitHub repo + mega prompt inside]
reddit.comยท1dยท
Discuss: r/ClaudeAI
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Lorxus Does Halfhaven: 11/01~11/07
lesswrong.comยท1d
๐Ÿš€Science Fiction
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We built a 4-dimension framework for LLM evaluation after watching 3 companies fail at model selection
reddit.comยท1dยท
Discuss: r/LLM
๐Ÿ“ŠData Visualization
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Selective (smart) MoE experts offloading to CPU?
arxiv.orgยท2dยท
Discuss: r/LocalLLaMA
๐Ÿ“ŠData Visualization
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Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Network
arxiv.orgยท1d
๐Ÿ“ŠData Visualization
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AI Content Marketing: 2025 Strategy Guide
dev.toยท1dยท
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๐Ÿ“ŠData Visualization
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How IDPs Balance Productivity and Control in the AI Era
thenewstack.ioยท15h
๐Ÿ“ŠData Visualization
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Buy Old Yahoo Accounts โ€” How to Choose Aged vs. New ...
dev.toยท13hยท
Discuss: DEV
๐Ÿ“ŠData Visualization
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How to Automate Your Knowledge Management with Python and AI APIs
dev.toยท16hยท
Discuss: DEV
๐Ÿ“ŠData Visualization
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Learn More, Forget Less: A Gradient-Aware Data Selection Approach for LLM
arxiv.orgยท1d
๐Ÿ“ŠData Visualization
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