{
  "date": "2026-09-13",
  "stories": [
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      "title": "Show HN: I built ThreadShelf to reuse hard-to-export AI chats like OpenRouter",
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  "deep_dives": [
    {
      "story_id": "hn:49682034",
      "title": "Give to AI Formulas from Charts",
      "url": "https://github.com/BorisYamp/plotparse",
      "source_domain": "github.com",
      "category_label": "Hn",
      "overall": 5.66,
      "metrics": {
        "signal": 8.37,
        "novelty": 4.0,
        "impact": 2.76,
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      "why_made_cut": "Signal 8.4, Confidence 7.5, and Impact 2.8 combined to rank this in the top set.",
      "badges": [
        "repo"
      ],
      "context": "Finds charts in PDF files and recovers the analytical formula of every curve on them.",
      "whats_new": "Finds charts in PDF files and recovers the analytical formula of every curve on them.",
      "key_details": [
        "No neural networks anywhere: the whole pipeline is deterministic, reproducible and explainable \u2014 every number in the output can be traced back to a specific geometric feature of the page.",
        "$ analyze_pdf paper.pdf Page 1 \u2014 source: vector PDF graphics Chart detected, confidence 0.96.",
        "X axis: \"X\", linear scale, range 0\u202610, 6 ticks, calibration R\u00b2 1.0000 Y axis: \"Y\", linear scale, range 0\u202650, 6 ticks, calibration R\u00b2 1.0000 Series 1 \"linear A\" (line, blue, 200 points), X \u2208 [0; 10], Y \u2208 [0.9868; 20.99] FORMULA: y = 2\u00b7x + 0.9868 model \"linea...",
        "- Decides whether the page contains a chart at all \u2014 weighted score over: two long perpendicular lines, short tick strokes touching them, numeric labels along the axes that fall on a straight line under regression, grid lines, and a polyline with many nodes..."
      ],
      "results_evidence": [
        "$ analyze_pdf paper.pdf Page 1 \u2014 source: vector PDF graphics Chart detected, confidence 0.96.",
        "X axis: \"X\", linear scale, range 0\u202610, 6 ticks, calibration R\u00b2 1.0000 Y axis: \"Y\", linear scale, range 0\u202650, 6 ticks, calibration R\u00b2 1.0000 Series 1 \"linear A\" (line, blue, 200 points), X \u2208 [0; 10], Y \u2208 [0.9868; 20.99] FORMULA: y = 2\u00b7x + 0.9868 model \"linea...",
        "The decisive feature is the linearity of the labels: for random text the regression R\u00b2 is low, for a real axis it is \u2248 1."
      ],
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        "Generalization outside curated tasks is still unclear."
      ],
      "practical_next_steps": [
        "Reproduce one claim with a public baseline and fixed evaluation settings.",
        "Check robustness on out-of-distribution or long-context cases.",
        "Track whether independent teams report matching results."
      ]
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    {
      "story_id": "gh:1174820787",
      "title": "karpathy/autoresearch: AI agents running research on single-GPU nanochat training automatically",
      "url": "https://github.com/karpathy/autoresearch",
      "source_domain": "github.com",
      "category_label": "Agent",
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      "why_made_cut": "Signal 10.0, Confidence 7.0, and Impact 7.8 combined to rank this in the top set.",
      "badges": [
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      "context": "Instead, you are programming the program.md Markdown files that provide context to the AI agents and set up your autonomous research org.",
      "whats_new": "AI agents running research on single-GPU nanochat training automatically One day, frontier AI research used to be done by meat computers in between eating, sleeping, having other fun, and synchronizing once in a while using sound wave interconnect in the ri...",
      "key_details": [
        "Research is now entirely the domain of autonomous swarms of AI agents running across compute cluster megastructures in the skies.",
        "The agents claim that we are now in the 10,205th generation of the code base, in any case no one could tell if that's right or wrong as the \"code\" is now a self-modifying binary that has grown beyond human comprehension.",
        "This repo is the story of how it all began.",
        "The idea: give an AI agent a small but real LLM training setup and let it experiment autonomously overnight."
      ],
      "results_evidence": [
        "The agents claim that we are now in the 10,205th generation of the code base, in any case no one could tell if that's right or wrong as the \"code\" is now a self-modifying binary that has grown beyond human comprehension.",
        "It modifies the code, trains for 5 minutes, checks if the result improved, keeps or discards, and repeats."
      ],
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        "Generalization outside curated tasks is still unclear."
      ],
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        "Reproduce one claim with a public baseline and fixed evaluation settings.",
        "Check robustness on out-of-distribution or long-context cases.",
        "Track whether independent teams report matching results."
      ]
    },
    {
      "story_id": "gh:1142983825",
      "title": "multica-ai/andrej-karpathy-skills: A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.",
      "url": "https://github.com/multica-ai/andrej-karpathy-skills",
      "source_domain": "github.com",
      "category_label": "Llm",
      "overall": 7.63,
      "metrics": {
        "signal": 10.0,
        "novelty": 4.0,
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      },
      "why_made_cut": "Signal 10.0, Confidence 7.0, and Impact 8.2 combined to rank this in the top set.",
      "badges": [
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      "context": "A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.",
      "whats_new": "Check out my new project Multica \u2014 an open-source platform for running and managing coding agents with reusable skills.",
      "key_details": [
        "Check out my new project Multica \u2014 an open-source platform for running and managing coding agents with reusable skills.",
        "Follow me on X: https://x.com/jiayuan_jy A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.",
        "English | \u7b80\u4f53\u4e2d\u6587 From Andrej's post: \"The models make wrong assumptions on your behalf and just run along with them without checking.",
        "They don't manage their confusion, don't seek clarifications, don't surface inconsistencies, don't present tradeoffs, don't push back when they should.\" \"They really like to overcomplicate code and APIs, bloat abstractions, don't clean up dead code..."
      ],
      "results_evidence": [
        "implement a bloated construction over 1000 lines when 100 would do.\" \"They still sometimes change/remove comments and code they don't sufficiently understand as side effects, even if orthogonal to the task.\" Four principles in one file that directly address...",
        "Combat the tendency toward overengineering: - No features beyond what was asked - No abstractions for single-use code - No \"flexibility\" or \"configurability\" that wasn't requested - No error handling for impossible scenarios - If 200 lines could be 50, rewr..."
      ],
      "limitations_unknowns": [
        "Generalization outside curated tasks is still unclear."
      ],
      "practical_next_steps": [
        "Reproduce one claim with a public baseline and fixed evaluation settings.",
        "Check robustness on out-of-distribution or long-context cases.",
        "Track whether independent teams report matching results."
      ]
    }
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  "reality_check": {
    "read_time": "1-2 min",
    "items": [
      {
        "story_id": "gh:1223170290",
        "title": "nexu-io/open-design: \ud83c\udfa8 Best DeepSeek Harness Design Plugin. The open-source Claude Design alternative. \ud83d\udda5\ufe0f Local-first desktop app. \ud83d\uddbc\ufe0f Your coding agent becomes the design engine: prototypes, landing pages, dashboards, slides, images & video \u2014 real files, HTML/PDF/PPTX/MP4 export. \ud83e\udd16 Claude Code / Codex / Cursor / DeepSeek Harness / OpenCode & 20+ CLIs via BYOK.",
        "url": "https://github.com/nexu-io/open-design",
        "source_domain": "github.com",
        "category_label": "Agent",
        "overall": 8.14,
        "metrics": {
          "signal": 10.0,
          "novelty": 7.3,
          "impact": 7.83,
          "confidence": 7.03,
          "actionability": 6.5
        },
        "badges": [
          "repo",
          "demo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "yes",
          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
        "story_id": "gh:1136590548",
        "title": "affaan-m/ECC: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
        "url": "https://github.com/affaan-m/ECC",
        "source_domain": "github.com",
        "category_label": "Agent",
        "overall": 8.05,
        "metrics": {
          "signal": 10.0,
          "novelty": 6.2,
          "impact": 8.33,
          "confidence": 7.03,
          "actionability": 6.5
        },
        "badges": [
          "repo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
        "story_id": "hn:49682723",
        "title": "MeshDrive and Local AI Agent for FS",
        "url": "https://github.com/Hardik94/vix-gateway/releases/tag/v2.3.1",
        "source_domain": "github.com",
        "category_label": "Hn",
        "overall": 5.84,
        "metrics": {
          "signal": 8.37,
          "novelty": 5.1,
          "impact": 2.56,
          "confidence": 7.45,
          "actionability": 3.5
        },
        "badges": [
          "repo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
        "story_id": "hn:49682034",
        "title": "Give to AI Formulas from Charts",
        "url": "https://github.com/BorisYamp/plotparse",
        "source_domain": "github.com",
        "category_label": "Hn",
        "overall": 5.66,
        "metrics": {
          "signal": 8.37,
          "novelty": 4.0,
          "impact": 2.76,
          "confidence": 7.45,
          "actionability": 3.5
        },
        "badges": [
          "repo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      }
    ]
  },
  "lab_notes": {
    "tool_repo_of_the_day": {
      "title": "nexu-io/open-design: \ud83c\udfa8 Best DeepSeek Harness Design Plugin. The open-source Claude Design alternative. \ud83d\udda5\ufe0f Local-first desktop app. \ud83d\uddbc\ufe0f Your coding agent becomes the design engine: prototypes, landing pages, dashboards, slides, images & video \u2014 real files, HTML/PDF/PPTX/MP4 export. \ud83e\udd16 Claude Code / Codex / Cursor / DeepSeek Harness / OpenCode & 20+ CLIs via BYOK.",
      "url": "https://github.com/nexu-io/open-design",
      "source_domain": "github.com"
    },
    "prompt_workflow_of_the_day": "summarize claim -> evidence -> risk in three passes before acting",
    "tiny_snippet": "uv run python -m msd.run --scheduled"
  },
  "forecast_watchlist": {
    "read_time": "1-2 min",
    "watch_prefix": "Watch:",
    "topics": [
      "cs.ai",
      "cs.lg",
      "rss",
      "cs.cl",
      "python",
      "benchmark",
      "eval",
      "repo"
    ],
    "subscribe": {
      "label": "Subscribe for Daily Emails",
      "url": "mailto:morning-singularity-digest@localhost?subject=Subscribe%20for%20Daily%20Emails"
    }
  }
}