{
  "netuid": 24,
  "slug": "quasar",
  "name": "Quasar",
  "symbol": "\u03c9",
  "description": "Bittensor subnet built to crush the long-context barrier.",
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  "registrationCost": 0.0,
  "pruningRank": 14,
  "immunityRemaining": 10681,
  "sentiment": "Neutral",
  "githubRepo": "https://github.com/SILX-LABS/QUASAR-SUBNET/",
  "subnetUrl": "https://silxinc.com/",
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      "label": "weak",
      "score": 15,
      "reasons": [
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          "tone": "neutral",
          "label": "Stars",
          "value": "10",
          "weight": null
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        {
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          "label": "Contributors",
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          "label": "Validators",
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          "value": "Top contributor: 88%",
          "weight": null
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          "value": "heuristic=11 \u00d7 0.6 + llm=20 \u00d7 0.4",
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          "label": "Latest push",
          "value": "2026-04-28T20:51:54Z",
          "weight": null
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          "tone": "positive",
          "label": "Momentum",
          "value": "accelerating (8/30d vs 3/mo avg)",
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          "label": "LLM blend",
          "value": "heuristic=46 \u00d7 0.6 + llm=22 \u00d7 0.4",
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          "tone": "positive",
          "label": "Commodity risk",
          "value": "0 matched",
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          "tone": "neutral",
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          "value": "4/30",
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          "tone": "neutral",
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          "value": "heuristic=44 \u00d7 0.6 + llm=45 \u00d7 0.4",
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          "label": "CI",
          "value": "Missing",
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          "weight": null
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          "tone": "negative",
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          "value": "No SECURITY.md",
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  "masterRating": "D",
  "lastUpdatedAt": "2026-04-29T20:21:48Z",
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  "purpose": {
    "title": "Quasar",
    "source": "llm",
    "confidence": 0.72,
    "shortSummary": "Quasar (SN24) is a decentralized long-context LLM training and evaluation subnet where miners publish models to HuggingFace and validators score them on-chain. Despite a $17.7M market cap and meaningful liquidity, the subnet is critically underutilized with only 1 active miner. Code quality signals are weak with no CI, zero PR merges in 30 days, and commit message quality scored at 0.0."
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    "risks": [
      "Only 1 active miner on the entire subnet renders the incentive layer nearly non-functional; a training competition with one participant is not a functioning network",
      "Extreme bus factor: 2 total contributors with top contributor at 88%, zero releases in 12 months, zero merged PRs in 30 days, and commit message quality of 0.0 signals a stalled or near-abandoned development effort"
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    "score": 31,
    "summary": "Quasar (SN24) is a decentralized long-context LLM training and evaluation subnet where miners publish models to HuggingFace and validators score them on-chain. Despite a $17.7M market cap and meaningful liquidity, the subnet is critically underutilized with only 1 active miner. Code quality signals are weak with no CI, zero PR merges in 30 days, and commit message quality scored at 0.0.",
    "provider": "cascade:sonnet",
    "expiresAt": "2026-05-29T20:31:22.675216+00:00",
    "strengths": [
      "$17.7M market cap and $1.38M 24h volume indicate real financial interest and liquidity despite thin operational activity",
      "Targets a genuine and durable technical problem\u2014long-context LLM evaluation\u2014with a novel on-chain scoring mechanism",
      "Repo has tests, license, and docs present, providing a basic quality floor for contributors"
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    "updatedAt": "2026-04-29T20:31:22.675216+00:00",
    "durability": "weak",
    "recommendation": "Avoid until active miner count climbs above 10 and the repo shows consistent PR activity\u2014the market cap is real but the network is not operationally alive.",
    "dimensionScores": {
      "adoption": 20,
      "shipSpeed": 22,
      "usefulness": 45,
      "codeQuality": 30
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  "repoCoverageStatus": "covered",
  "image": "https://silxinc.com/vite.svg",
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      "netuid": 24,
      "repoKind": "primary",
      "provider": "github",
      "owner": "SILX-LABS",
      "name": "QUASAR-SUBNET",
      "url": "https://github.com/SILX-LABS/QUASAR-SUBNET",
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      "isArchived": false,
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      "text": "RT @CryptoZPunisher: @TroyQuasar @QuasarModels @Farahatyoussef0 That's too long  \ud83d\ude43 https://t.co/9bvUK8fAOJ",
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      "handle": "TroyQuasar",
      "text": "I told him we were coming for the throne, but lol I took the entire thing.",
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      "text": "Thats not it for April",
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      "text": "\ud83d\ude80 Quasar Competition Starts Now\n\nMiners, this is your moment.\n\nThe Quasar codebase is now fully open.\nWe are launching a global competition to distill knowledge into Quasar and push it to state-of-the-art performance.\n\n[\ud83c\udfc6 Winner takes it all ]\n\nThe first training run begins now\nAnyone can participate bring your best methods, your best ideas.\n\nFor details, updates, and how to get started, join the Quasar Discord channel on Bittensor.\n\nLet\u2019s build \ud83d\udc47",
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      "text": "RT @CryptoAvex: \ud83d\udea8 $TAO Subnet Valuation Series \ud83d\udc47\ud83c\udffc\n\nSN4 Targon vs CoreWeave (a Nvidia-backed $24.8B company)\n\nI had to close my laptop for a\u2026",
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      "text": "RT @AllanatrixQ: Crafting Evals is actually hard \ud83d\ude2d",
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      "text": "RT @Yajiru_1: In the Web3 space, we are unfortunately used to founders disappearing or making excuses when things go wrong. Today, I want t\u2026",
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      "text": "RT @RnaudBertrand: Wow, this is huge, after months of speculation and the U.S. running a massive pre-emptive discreditation campaign (https\u2026",
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      "text": "My mind is boiling from excitement I want to show the world what we\u2019re building because it\u2019s really cool.",
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      "handle": "TroyQuasar",
      "text": "great work from @deepseek_ai \n\nBut damn, this got me insanely excited Quasar already scores higher than this on 1M-length tests, but amazing work for open source! https://t.co/RlcPyq8DTL",
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      "text": "RT @Elaina43114880: \ud835\uddd7\ud835\uddf2\ud835\uddf2\ud835\uddfd\ud835\udde6\ud835\uddf2\ud835\uddf8 \ud835\udde9\ud835\udff0 is coming sooner than you think, and GPT-5.5 is tomorrow! \ud83e\udd73\ud83e\udd73\ud83e\udd73\n\nV4 1.6T, V4-Lite 285B, 1M Context Length, Tex\u2026",
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      "tweet_id": "2046991705342144671",
      "handle": "TroyQuasar",
      "text": "this part from a16z report \nman i just luv what i'm building \n\nhttps://t.co/qMwC9tB8QF https://t.co/1RIUYq7FON",
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