{
  "netuid": 80,
  "slug": "dogelayer",
  "name": "dogelayer",
  "symbol": "\u0649",
  "description": "Dogelayer is the world's first mining pool enabling Scrypt miners to join Bittensor subnet. Our merged mining technology allows traditional miners to earn Alpha tokens through subnet validation while mining LTC/DOGE",
  "priceTao": 0.003741644,
  "priceUsd": 0.9468271513978485,
  "athUsd": 0.9468271513978485,
  "change24h": 0.8335594803478469,
  "change7d": -4.011505349007302,
  "change30d": -23.7056405084518,
  "change90d": 0.53,
  "marketCapUsd": 1024002.3345636046,
  "volume24hUsd": 25147.79939266872,
  "rootProp": 0.45517941549883495,
  "liquidityUsd": 510592.12189894024,
  "alphaStaked": 811830.732615655,
  "activeMiners": 8,
  "activeValidators": 15,
  "emissionPct": 0.02471196570312829,
  "emissionPerDayTao": 1.0,
  "registrationCost": 219.60130659,
  "pruningRank": 113,
  "immunityRemaining": 4825,
  "sentiment": "Neutral",
  "githubRepo": "https://github.com/dogelayer-ai/dogelayer",
  "subnetUrl": "https://dogelayer.ai",
  "scorecard": {
    "adoption": {
      "label": "weak",
      "score": 16,
      "reasons": [
        {
          "tone": "neutral",
          "label": "Stars",
          "value": "1",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Contributors",
          "value": "5",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "24h volume",
          "value": "$25,148",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Validators",
          "value": "15",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Bus factor",
          "value": "Top contributor: 61%",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=11 \u00d7 0.6 + llm=24 \u00d7 0.4",
          "weight": null
        }
      ]
    },
    "shipSpeed": {
      "label": "weak",
      "score": 10,
      "reasons": [
        {
          "tone": "neutral",
          "label": "Commits 30d",
          "value": "0",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Merged PRs 30d",
          "value": "0",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Releases 12m",
          "value": "1",
          "weight": null
        },
        {
          "tone": "negative",
          "label": "Latest push",
          "value": "2026-03-19T08:00:37Z",
          "weight": null
        },
        {
          "tone": "negative",
          "label": "Momentum",
          "value": "decelerating (0/30d vs 1/mo avg)",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=10 \u00d7 0.6 + llm=11 \u00d7 0.4",
          "weight": null
        }
      ]
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    "updatedAt": "2026-04-29T20:41:08.735720+00:00",
    "confidence": 0.82,
    "usefulness": {
      "label": "watch",
      "score": 40,
      "reasons": [
        {
          "tone": "neutral",
          "label": "Durable keywords",
          "value": "0 matched",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Commodity risk",
          "value": "0 matched",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Subnet traction",
          "value": "0/30",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=30 \u00d7 0.6 + llm=54 \u00d7 0.4",
          "weight": null
        }
      ]
    },
    "codeQuality": {
      "label": "weak",
      "score": 20,
      "reasons": [
        {
          "tone": "negative",
          "label": "CI",
          "value": "Missing",
          "weight": null
        },
        {
          "tone": "negative",
          "label": "Tests",
          "value": "Missing",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Docs",
          "value": "Basic (600 chars)",
          "weight": null
        },
        {
          "tone": "negative",
          "label": "Dep mgmt",
          "value": "None",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "PR reviews",
          "value": "0.2 avg, 40% self-merge",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Commit quality",
          "value": "5% conventional",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Security hygiene",
          "value": "No SECURITY.md",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=15 \u00d7 0.6 + llm=27 \u00d7 0.4",
          "weight": null
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  },
  "marketScore": 8.0,
  "githubScore": 15.0,
  "aiScore": 34.0,
  "masterScore": 24.0,
  "masterRating": "D",
  "lastUpdatedAt": "2026-04-29T20:21:48Z",
  "isStale": false,
  "masterScorePrev": 23.0,
  "purpose": {
    "title": "dogelayer",
    "source": "llm",
    "confidence": 0.72,
    "shortSummary": "Dogelayer (netuid 80) bridges traditional Scrypt PoW miners (LTC/DOGE) into the Bittensor incentive layer via merged mining, a novel but niche concept. Development has effectively stalled with 0 commits in the last 30 days and only 2 over 90 days, while the core product shows minimal traction with just 8 active miners. The ~$1M market cap and 30-day price decline of 23.7% reflect weakening sentiment against an already thin user base."
  },
  "analysis": {
    "risks": [
      "Development is effectively dead: 0 commits and 0 merged PRs in the last 30 days, only 2 commits across 90 days, and 1 release in 12 months \u2014 the core product is not being actively maintained",
      "Core value proposition has minimal uptake with only 8 active miners on a subnet explicitly designed as a mining pool; combined with a -23.7% 30-day price decline and commit message quality of 0.05/1.0, execution risk is very high"
    ],
    "score": 34,
    "summary": "Dogelayer (netuid 80) bridges traditional Scrypt PoW miners (LTC/DOGE) into the Bittensor incentive layer via merged mining, a novel but niche concept. Development has effectively stalled with 0 commits in the last 30 days and only 2 over 90 days, while the core product shows minimal traction with just 8 active miners. The ~$1M market cap and 30-day price decline of 23.7% reflect weakening sentiment against an already thin user base.",
    "provider": "cascade:sonnet",
    "expiresAt": "2026-05-29T20:36:40.075974+00:00",
    "strengths": [
      "Genuinely differentiated concept: merged mining for Scrypt (LTC/DOGE) bridging to Bittensor is not replicated by any other subnet, giving it a unique positioning in the ecosystem",
      "15 active validators are online, and $510K in liquidity against a ~$1M market cap (>50% liquidity ratio) indicates reasonable depth relative to its size",
      "MIT license and docs are present in the repo, and 5 contributors with a self-merge ratio of 0.4 (below the 0.5 red-flag threshold) show baseline collaborative intent"
    ],
    "updatedAt": "2026-04-29T20:36:40.075974+00:00",
    "durability": "weak",
    "recommendation": "Avoid new positions until development resumes \u2014 the unique merged-mining thesis is interesting but the subnet shows near-zero shipping velocity and critically low miner adoption that must improve before the concept can be validated.",
    "dimensionScores": {
      "adoption": 24,
      "shipSpeed": 11,
      "usefulness": 54,
      "codeQuality": 27
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  },
  "repoCoverageStatus": "covered",
  "image": "https://dogelayer.ai/images/icon.svg",
  "repos": [
    {
      "netuid": 80,
      "repoKind": "primary",
      "provider": "github",
      "owner": "dogelayer-ai",
      "name": "dogelayer",
      "url": "https://github.com/dogelayer-ai/dogelayer",
      "source": "registry",
      "isArchived": false,
      "isFork": false
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      "fullName": "dogelayer-ai/dogelayer",
      "description": "DogeLayer is a Bittensor subnet designed around production of proof-of-work (PoW) mining hashrate for Scrypt algorithm (LTC/DOGE)",
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      "stars": 1,
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      "languages": [
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          "name": "Python",
          "percentage": 99.2
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        {
          "name": "Dockerfile",
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      "topics": [],
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        "hasLintConfig": false,
        "hasFormatterConfig": false,
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        "hasLicense": true,
        "hasSecurityPolicy": false,
        "hasDocs": true,
        "hasDocker": false,
        "hasDependabot": false,
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      "readmeExcerpt": "<div align=\"center\"> **DogeLayer** ! Subnet 80 https://img.shields.io/badge/Subnet-80-blue ! License: MIT https://img.shields.io/badge/License-MIT-yellow.svg https://opensource.org/licenses/MIT ! Python 3.9+ https://img.shields.io/badge/python-3.9+-blue.svg https://www.python.org/downloads/ ! Bittensor https://img.shields.io/badge/bittensor-9.10.1-blue.svg https://github.com/opentensor/bittensor </div> Introduction Bittensor is a decentralized platform that incentivizes production of best-in-class digital commodities. DogeLayer is a Bittensor subnet designed around production of proof-of-work ",
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      "label": "Website",
      "href": "https://dogelayer.ai"
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    {
      "tweet_id": "2049372608781758923",
      "handle": "layer_doge",
      "text": "RT @const_reborn: University is a scam. Learn how to mine Bittensor.",
      "created_at": "2026-04-29T03:18:00-03:00",
      "likes": 994,
      "retweets": 127,
      "replies": 80,
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    {
      "tweet_id": "2048974156751044760",
      "handle": "layer_doge",
      "text": "This was an incredibly insightful session. I\u2019ve summarized the core takeaways below.\n\n1. The Tug-of-War Between Dynamic Frontiers and Fundamentals\nIn an environment of hyper-accelerated technological iteration, developers face a choice: chase the latest hype or double down on underlying logic.\n\nThe Endless Chase: Technical evolution has surpassed the human capacity for digestion. Blindly following every new model (such as various AI variants) leads to a dilution of value.\nReturning to the Base: Experts argue that rather than wasting energy on non-core areas, it is better to focus on building stable architectures and protocols that provide a foundation for the ecosystem\u2019s long-term survival.\n\n2. Competitive Advantages of Decentralized Networks: Efficiency and Cost Reduction\nWhen competing with giants like Google, the core weapon of decentralized networks (such as Tensor/Bittensor) is not the pure technical stack, but rather their organizational form and cost structure.\n\nCost Advantage: Through decentralized incentive mechanisms, virtual networks can produce AI capabilities at **1/10 the cost** of their traditional counterparts.\nResource Mobilization: Similar to how Bitcoin built a network via electricity incentives, AI protocols use token economics to attract global computing power and talent. This \"distributed collaboration\" is difficult for centralized titans to replicate.\n\n3. Resilience and Redundancy: Value Beyond \"Cheap\"\nBeyond price competition, distributed architecture provides the robustness that enterprise-level technology highly values.\n\nMulti-domain Redundancy: Built-in redundancy mechanisms within the protocol ensure that services remain online even if some nodes go down.\nAnti-monopoly: It provides a \"third option\" for developers outside of Big Tech monopolies, fostering a more active layer of innovation.\n\n4. Deep Integration of Financialization and the Protocol Layer\nThe discussion highlighted how financial mechanisms (such as lending and liquidity) empower\u2014and pose risks to\u2014technical protocols.\n\nOn-chain Integration: Directly embedding financial functions like trading and lending into the protocol base (e.g., integrating a DEX or liquidity system) can vastly improve resource allocation efficiency.\nPotential Risks: Experts maintain a cautious stance on \"introducing lending directly at the protocol level,\" fearing that excessive financial leverage could repeat the catastrophic collapses of the past.",
      "created_at": "2026-04-28T00:54:41-03:00",
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    {
      "tweet_id": "2048969064207593773",
      "handle": "layer_doge",
      "text": "I'm here to show some support for our friend",
      "created_at": "2026-04-28T00:34:27-03:00",
      "likes": 0,
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      "replies": 0,
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    {
      "tweet_id": "2048968629719646346",
      "handle": "layer_doge",
      "text": "You really need to hear this",
      "created_at": "2026-04-28T00:32:43-03:00",
      "likes": 0,
      "retweets": 0,
      "replies": 0,
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    {
      "tweet_id": "2048634969250308477",
      "handle": "layer_doge",
      "text": "RT @TroyQuasar: great work from @deepseek_ai \n\nBut damn, this got me insanely excited Quasar already scores higher than this on 1M-length t\u2026",
      "created_at": "2026-04-27T02:26:53-03:00",
      "likes": 110,
      "retweets": 18,
      "replies": 8,
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    {
      "tweet_id": "2048634896093200766",
      "handle": "layer_doge",
      "text": "I've re-structured the core logic of the article as follows:\n\nI. Core Logic: Biomimetic Closed-Loop Feedback\nThe underlying architecture of Bittensor is built upon a self-regulating feedback loop, mirroring the energy exchange biological organisms perform for survival:\n\nThe Cycle: Miners provide output $\\rightarrow$ Validators assess quality $\\rightarrow$ The system issues incentives $\\rightarrow$ Incentives drive miners to optimize further.\n\nSystem Characteristics: This \"output-as-input\" model establishes an automated, evolving environment for productivity.\n\nII. Key Projects: Practical Cases of Intelligence Validation\nThe lecture highlighted several high-potential subnets (such as Targon, Quasar, and Zeus), with a specific emphasis on the benchmark significance of @oroagents :\n\nTechnical Breakthrough: It successfully demonstrates how LLMs can act as \"judges\" to validate the outputs of other AI models.\n\nVision Realization: This marks a major step toward the goal of \"intelligence validating intelligence,\" reducing the reliance on human intervention.\n\n(PS: He missed mentioning DogeLayer)\n\nIII. Narrative Height: The \"Bitcoin\" of the AI Era\nConst presented a powerful comparison that clarifies Bittensor\u2019s social utility:\n\nCountering Centralization: If $BTC was the escape from the constraints of centralized banking, Bittensor is the solution to dismantling the monopoly held by tech giants over AI compute and data ownership.\n\nOwnership Revolution: True decentralization can only be achieved through a fundamental shift in ownership structures, moving beyond mere rhetoric.\n\nIV. Evolution of Economic Mechanisms\nIntroducing Game Theory: The upcoming \"shorting\" feature will allow the market to utilize financial tools to weed out underperforming subnets, enhancing natural selection within the system.\n\nLowering Barriers to Entry: The cost of acquiring subnet slots is expected to decrease over time, aiming to attract more developers and scale the network's network effect.",
      "created_at": "2026-04-27T02:26:35-03:00",
      "likes": 4,
      "retweets": 0,
      "replies": 0,
      "views": 372,
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    {
      "tweet_id": "2048633073919782949",
      "handle": "layer_doge",
      "text": "\ud83d\udc4d",
      "created_at": "2026-04-27T02:19:21-03:00",
      "likes": 1,
      "retweets": 0,
      "replies": 0,
      "views": 103,
      "is_retweet": false,
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    {
      "tweet_id": "2048632830021046628",
      "handle": "layer_doge",
      "text": "RT @VictorVL_EN: Bittensor Ecosystem Highlights of the Week #58\n\n// SUBNET UPDATES &amp; ACHIEVEMENTS\n\n\u27a4 @oroagents SN15\nOro properly introduce\u2026",
      "created_at": "2026-04-27T02:18:23-03:00",
      "likes": 135,
      "retweets": 30,
      "replies": 16,
      "views": 9124,
      "is_retweet": false,
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    {
      "tweet_id": "2047562464418783534",
      "handle": "layer_doge",
      "text": "Really looking forward to the presentation!",
      "created_at": "2026-04-24T03:25:08-03:00",
      "likes": 10,
      "retweets": 2,
      "replies": 0,
      "views": 499,
      "is_retweet": false,
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    },
    {
      "tweet_id": "2047562137011474768",
      "handle": "layer_doge",
      "text": "\ud83c\udf89We\u2019re excited for what\u2019s ahead",
      "created_at": "2026-04-24T03:23:49-03:00",
      "likes": 11,
      "retweets": 2,
      "replies": 0,
      "views": 398,
      "is_retweet": false,
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    },
    {
      "tweet_id": "2047203531741184141",
      "handle": "layer_doge",
      "text": "There is also DogeLayer, which already boasts 9,000 GH/s of hash power, with a peak capacity of nearly 20,000 GH/s.\n\nIt has helped users generate hundreds of thousands of US dollars in profits.",
      "created_at": "2026-04-23T03:38:51-03:00",
      "likes": 5,
      "retweets": 0,
      "replies": 1,
      "views": 215,
      "is_retweet": false,
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    {
      "tweet_id": "2047201157064601798",
      "handle": "layer_doge",
      "text": "Really looking forward to it!",
      "created_at": "2026-04-23T03:29:25-03:00",
      "likes": 23,
      "retweets": 3,
      "replies": 0,
      "views": 735,
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    {
      "tweet_id": "2047200591303324048",
      "handle": "layer_doge",
      "text": "I\u2019ve been reflecting on where our next growth driver lies. \n\nOur compute power has been plateauing for a while now. \n\nAny solid suggestions from the community? https://t.co/rhTk0S85AT",
      "created_at": "2026-04-23T03:27:10-03:00",
      "likes": 2,
      "retweets": 0,
      "replies": 1,
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    {
      "tweet_id": "2047199512440242352",
      "handle": "layer_doge",
      "text": "1M+ follower influencer &amp; 2015-era BTC OG: #Bittensor is where AI is heading.",
      "created_at": "2026-04-23T03:22:53-03:00",
      "likes": 7,
      "retweets": 0,
      "replies": 0,
      "views": 157,
      "is_retweet": false,
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    },
    {
      "tweet_id": "2046788634184204682",
      "handle": "layer_doge",
      "text": "Never overlook a single market. Cherish the community power of every nation.",
      "created_at": "2026-04-22T00:10:12-03:00",
      "likes": 0,
      "retweets": 0,
      "replies": 0,
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}