{
  "netuid": 52,
  "slug": "dojo",
  "name": "Dojo",
  "symbol": "\u0627",
  "description": "Dojo Bittensor subnet",
  "priceTao": 0.007265615,
  "priceUsd": 1.838571909461049,
  "athUsd": 1.838571909461049,
  "change24h": -0.5484361350521416,
  "change7d": -0.035318323068960024,
  "change30d": 2.0916119132863833,
  "change90d": 0.0,
  "marketCapUsd": 7661852.784098276,
  "volume24hUsd": 88875.42414216184,
  "rootProp": 0.16006210614663993,
  "liquidityUsd": 9642684.702419372,
  "alphaStaked": 1544929.471161407,
  "activeMiners": 1,
  "activeValidators": 12,
  "emissionPct": 0.0033027403794782333,
  "emissionPerDayTao": 1.0,
  "registrationCost": 0.0,
  "pruningRank": 34,
  "immunityRemaining": 10653,
  "sentiment": "Fear",
  "githubRepo": "https://github.com/tensorplex-labs/dojo",
  "subnetUrl": "",
  "scorecard": {
    "adoption": {
      "label": "weak",
      "score": 14,
      "reasons": [
        {
          "tone": "neutral",
          "label": "Stars",
          "value": "0",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Contributors",
          "value": "6",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "24h volume",
          "value": "$88,875",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Validators",
          "value": "12",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Bus factor",
          "value": "Top contributor: 47%",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=12 \u00d7 0.6 + llm=18 \u00d7 0.4",
          "weight": null
        }
      ]
    },
    "shipSpeed": {
      "label": "weak",
      "score": 23,
      "reasons": [
        {
          "tone": "neutral",
          "label": "Commits 30d",
          "value": "0",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Merged PRs 30d",
          "value": "0",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Releases 12m",
          "value": "19",
          "weight": null
        },
        {
          "tone": "negative",
          "label": "Latest push",
          "value": "2025-11-03T07:51:15Z",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Momentum",
          "value": "no history (0/30d vs 0/mo avg)",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=31 \u00d7 0.6 + llm=12 \u00d7 0.4",
          "weight": null
        }
      ]
    },
    "updatedAt": "2026-04-29T20:41:08.733758+00:00",
    "confidence": 0.82,
    "usefulness": {
      "label": "commoditized risk",
      "score": 37,
      "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": "2/30",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=32 \u00d7 0.6 + llm=44 \u00d7 0.4",
          "weight": null
        }
      ]
    },
    "codeQuality": {
      "label": "weak",
      "score": 28,
      "reasons": [
        {
          "tone": "positive",
          "label": "CI",
          "value": "Present",
          "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": "negative",
          "label": "PR reviews",
          "value": "0.6 avg, 90% self-merge",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Commit quality",
          "value": "55% conventional",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Security hygiene",
          "value": "No SECURITY.md",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=28 \u00d7 0.6 + llm=28 \u00d7 0.4",
          "weight": null
        }
      ]
    }
  },
  "marketScore": 14.0,
  "githubScore": 28.0,
  "aiScore": 30.0,
  "masterScore": 21.0,
  "masterRating": "D",
  "lastUpdatedAt": "2026-04-29T20:21:48Z",
  "isStale": false,
  "masterScorePrev": 19.0,
  "purpose": {
    "title": "Dojo",
    "source": "llm",
    "confidence": 0.72,
    "shortSummary": "Dojo is a Bittensor subnet implementing a decentralized GAN (Generative Adversarial Network) where miners compete as generators and discriminators under zero-sum incentives. Despite 19 releases historically, the project shows zero commits in the past 90 days and only 1 active miner, indicating near-dormancy. A $7.66M market cap and 12 active validators provide minimal on-chain presence but cannot offset the severe activity collapse."
  },
  "analysis": {
    "risks": [
      "Only 1 active miner as of the reporting date \u2014 the subnet's core competitive mechanism requires multiple miners to function, making it effectively non-operational at current participation levels",
      "Zero commits in both the 30-day and 90-day windows combined with a self-merge ratio of 0.90 and average 0.6 reviews per PR indicates development has stalled and what activity existed lacked meaningful code review culture"
    ],
    "score": 30,
    "summary": "Dojo is a Bittensor subnet implementing a decentralized GAN (Generative Adversarial Network) where miners compete as generators and discriminators under zero-sum incentives. Despite 19 releases historically, the project shows zero commits in the past 90 days and only 1 active miner, indicating near-dormancy. A $7.66M market cap and 12 active validators provide minimal on-chain presence but cannot offset the severe activity collapse.",
    "provider": "cascade:sonnet",
    "expiresAt": "2026-05-29T20:34:09.555194+00:00",
    "strengths": [
      "19 releases over the past 12 months demonstrates a historically active release cadence, suggesting the project was once in active iteration",
      "CI pipeline is present and 6 contributors have participated in the codebase, indicating a small but multi-person development history",
      "Decentralized GAN architecture with zero-sum competitive incentives is a conceptually novel application of Bittensor's incentive layer versus generic fine-tuning subnets"
    ],
    "updatedAt": "2026-04-29T20:34:09.555194+00:00",
    "durability": "weak",
    "recommendation": "Avoid allocation until miner count recovers above 10 and commit activity resumes; the architectural concept has merit but the subnet is currently dormant with a single miner and no recent development signal.",
    "dimensionScores": {
      "adoption": 18,
      "shipSpeed": 12,
      "usefulness": 44,
      "codeQuality": 28
    }
  },
  "repoCoverageStatus": "covered",
  "repos": [
    {
      "netuid": 52,
      "repoKind": "primary",
      "provider": "github",
      "owner": "tensorplex-labs",
      "name": "dojo",
      "url": "https://github.com/tensorplex-labs/dojo",
      "source": "registry",
      "isArchived": false,
      "isFork": false
    }
  ],
  "repoSnapshots": [
    {
      "fullName": "tensorplex-labs/dojo",
      "description": null,
      "homepageUrl": null,
      "defaultBranch": "main",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0,
      "languages": [
        {
          "name": "Go",
          "percentage": 95.5
        },
        {
          "name": "Makefile",
          "percentage": 4.4
        },
        {
          "name": "Dockerfile",
          "percentage": 0.1
        }
      ],
      "topics": [],
      "rootSignals": {
        "hasCi": true,
        "hasTests": false,
        "hasLintConfig": false,
        "hasFormatterConfig": false,
        "hasTypeScript": false,
        "hasLicense": false,
        "hasSecurityPolicy": false,
        "hasDocs": true,
        "hasDocker": true,
        "hasDependabot": false,
        "hasRenovate": false,
        "rootEntries": [
          ".env.example",
          ".github",
          ".gitignore",
          ".golangci.yml",
          ".lefthook.yml",
          "CHANGELOG.md",
          "CRUSH.md",
          "Dockerfile",
          "Dockerfile-cli",
          "Makefile",
          "README.md",
          "cmd",
          "docker-compose.cli.yaml",
          "docker-compose.dev.yaml",
          "docker-compose.subtensor.yaml",
          "docker-compose.yaml",
          "docs",
          "go.mod",
          "go.sum",
          "internal",
          "scores_example.json"
        ]
      },
      "readmeExcerpt": "Dojo v2 Introduction Dojo V2 transforms conventional Generative Adversarial Network GAN into a competitive, decentralized GAN built on the principle of zero-sum incentives. Unlike traditional GAN where the generator simply aims to mimic ground truth data, V2 challenges miners to create outputs that are not only indistinguishable from a high-quality baseline but are also superior to it. This creates a competitive environment where Bittensor miners, acting as both generators and discriminators, are in constant competition to produce and identify the best possible work. **More detailed info here:",
      "pushedAt": "2025-11-03T07:51:15Z",
      "isArchived": false,
      "isFork": false,
      "commitMessageQuality": 0.55,
      "selfMergeRatio": 0.9,
      "avgReviewsPerPr": 0.6,
      "hasBranchProtection": false,
      "topContributorPct": 0.47,
      "avgCommentsPerIssue": 0.0,
      "avgResponseHours": 0.0,
      "prMergeHoursP50": 0.1,
      "prMergeHoursP95": 8.1,
      "contributorChurn30d": 0.0,
      "vulnerabilityCount": 0
    }
  ],
  "externalLinks": [
    {
      "label": "GitHub",
      "href": "https://github.com/tensorplex-labs/dojo"
    }
  ],
  "priceHistory": [
    {
      "timestamp": "2025-12-26T20:59:48-03:00",
      "value": 2.23793725
    },
    {
      "timestamp": "2025-12-27T20:59:48-03:00",
      "value": 2.23179909
    },
    {
      "timestamp": "2025-12-28T20:59:48-03:00",
      "value": 2.22778359
    },
    {
      "timestamp": "2025-12-29T20:59:48-03:00",
      "value": 2.20330005
    },
    {
      "timestamp": "2025-12-30T20:59:48.001000-03:00",
      "value": 2.20479479
    },
    {
      "timestamp": "2025-12-31T20:59:48.001000-03:00",
      "value": 2.20061743
    },
    {
      "timestamp": "2026-01-01T20:59:48.001000-03:00",
      "value": 2.19701891
    },
    {
      "timestamp": "2026-01-02T20:59:48.001000-03:00",
      "value": 2.19458702
    },
    {
      "timestamp": "2026-01-03T20:59:48-03:00",
      "value": 2.1940315
    },
    {
      "timestamp": "2026-01-04T20:59:48-03:00",
      "value": 2.18864743
    },
    {
      "timestamp": "2026-01-05T20:59:48.001000-03:00",
      "value": 2.18831058
    },
    {
      "timestamp": "2026-01-06T20:59:48-03:00",
      "value": 2.20657176
    },
    {
      "timestamp": "2026-01-07T20:59:48-03:00",
      "value": 2.22401605
    },
    {
      "timestamp": "2026-01-08T20:59:48-03:00",
      "value": 2.22312326
    },
    {
      "timestamp": "2026-01-09T20:59:48-03:00",
      "value": 2.21762598
    },
    {
      "timestamp": "2026-01-10T20:59:48-03:00",
      "value": 2.21048815
    },
    {
      "timestamp": "2026-01-11T20:59:48-03:00",
      "value": 2.20814082
    },
    {
      "timestamp": "2026-01-12T20:59:48.001000-03:00",
      "value": 2.20979086
    },
    {
      "timestamp": "2026-01-13T20:59:48-03:00",
      "value": 2.27074271
    },
    {
      "timestamp": "2026-01-14T20:59:48-03:00",
      "value": 2.29989357
    },
    {
      "timestamp": "2026-01-15T20:59:48.001000-03:00",
      "value": 2.29570335
    },
    {
      "timestamp": "2026-01-16T20:59:48.001000-03:00",
      "value": 2.27838961
    },
    {
      "timestamp": "2026-01-17T20:59:48-03:00",
      "value": 2.30952538
    },
    {
      "timestamp": "2026-01-18T20:59:48.001000-03:00",
      "value": 2.33972761
    },
    {
      "timestamp": "2026-01-19T20:59:48-03:00",
      "value": 2.34239236
    },
    {
      "timestamp": "2026-01-20T20:59:48.001000-03:00",
      "value": 2.36638955
    },
    {
      "timestamp": "2026-01-21T20:59:48-03:00",
      "value": 2.40650616
    },
    {
      "timestamp": "2026-01-22T20:59:48-03:00",
      "value": 2.4261972
    },
    {
      "timestamp": "2026-01-23T20:59:48-03:00",
      "value": 2.39516406
    },
    {
      "timestamp": "2026-01-24T20:59:48-03:00",
      "value": 2.49035751
    },
    {
      "timestamp": "2026-01-25T20:59:48-03:00",
      "value": 2.52978141
    },
    {
      "timestamp": "2026-01-26T20:59:48-03:00",
      "value": 2.66093926
    },
    {
      "timestamp": "2026-01-27T20:59:48-03:00",
      "value": 2.66856589
    },
    {
      "timestamp": "2026-01-28T20:59:48-03:00",
      "value": 2.83960864
    },
    {
      "timestamp": "2026-01-29T20:59:48-03:00",
      "value": 2.84954145
    },
    {
      "timestamp": "2026-01-30T20:59:48-03:00",
      "value": 2.82315948
    },
    {
      "timestamp": "2026-01-31T20:59:48.001000-03:00",
      "value": 3.04999416
    },
    {
      "timestamp": "2026-02-01T20:59:48.001000-03:00",
      "value": 3.10038183
    },
    {
      "timestamp": "2026-02-02T20:59:48-03:00",
      "value": 3.04152383
    },
    {
      "timestamp": "2026-02-03T20:59:48-03:00",
      "value": 2.97706672
    },
    {
      "timestamp": "2026-02-04T20:59:48.001000-03:00",
      "value": 3.10907511
    },
    {
      "timestamp": "2026-02-05T20:59:48.001000-03:00",
      "value": 3.25196278
    },
    {
      "timestamp": "2026-02-06T20:59:48.001000-03:00",
      "value": 3.21795018
    },
    {
      "timestamp": "2026-02-07T20:59:48-03:00",
      "value": 3.21681331
    },
    {
      "timestamp": "2026-02-08T20:59:48.001000-03:00",
      "value": 3.12687851
    },
    {
      "timestamp": "2026-02-09T20:59:48-03:00",
      "value": 3.01702429
    },
    {
      "timestamp": "2026-02-10T20:59:48.001000-03:00",
      "value": 3.02336842
    },
    {
      "timestamp": "2026-02-11T20:59:48-03:00",
      "value": 2.99083005
    },
    {
      "timestamp": "2026-02-12T20:59:48-03:00",
      "value": 2.99352311
    },
    {
      "timestamp": "2026-02-13T20:59:48-03:00",
      "value": 2.99118255
    },
    {
      "timestamp": "2026-02-14T20:59:48.001000-03:00",
      "value": 2.99564122
    },
    {
      "timestamp": "2026-02-15T20:59:48-03:00",
      "value": 3.00144838
    },
    {
      "timestamp": "2026-02-16T20:59:48-03:00",
      "value": 3.00116634
    },
    {
      "timestamp": "2026-02-17T20:59:48-03:00",
      "value": 2.98405923
    },
    {
      "timestamp": "2026-02-18T20:59:48.001000-03:00",
      "value": 2.98880888
    },
    {
      "timestamp": "2026-02-19T20:59:48-03:00",
      "value": 2.9755984
    },
    {
      "timestamp": "2026-02-20T20:59:48.001000-03:00",
      "value": 2.97446796
    },
    {
      "timestamp": "2026-02-21T20:59:48-03:00",
      "value": 2.96682738
    },
    {
      "timestamp": "2026-02-22T20:59:48-03:00",
      "value": 2.95799701
    },
    {
      "timestamp": "2026-02-23T20:59:48-03:00",
      "value": 2.96067134
    },
    {
      "timestamp": "2026-02-24T20:59:48-03:00",
      "value": 2.94368996
    },
    {
      "timestamp": "2026-02-25T20:59:48-03:00",
      "value": 2.98624572
    },
    {
      "timestamp": "2026-02-26T20:59:48-03:00",
      "value": 2.99160785
    },
    {
      "timestamp": "2026-02-27T20:59:48-03:00",
      "value": 3.01772772
    },
    {
      "timestamp": "2026-02-28T20:59:48-03:00",
      "value": 3.02016881
    },
    {
      "timestamp": "2026-03-01T20:59:48-03:00",
      "value": 3.03745106
    },
    {
      "timestamp": "2026-03-02T20:59:48.001000-03:00",
      "value": 3.03557375
    },
    {
      "timestamp": "2026-03-03T20:59:48-03:00",
      "value": 3.03521733
    },
    {
      "timestamp": "2026-03-04T20:59:48-03:00",
      "value": 3.0320327
    },
    {
      "timestamp": "2026-03-05T20:59:48-03:00",
      "value": 3.04753252
    },
    {
      "timestamp": "2026-03-06T20:59:48.001000-03:00",
      "value": 3.07165018
    },
    {
      "timestamp": "2026-03-07T20:59:48-03:00",
      "value": 2.98414966
    },
    {
      "timestamp": "2026-03-08T20:59:48.001000-03:00",
      "value": 3.01148646
    },
    {
      "timestamp": "2026-03-09T13:50:00-03:00",
      "value": 1.64924702
    },
    {
      "timestamp": "2026-03-09T19:24:36-03:00",
      "value": 1.64591982
    },
    {
      "timestamp": "2026-03-09T19:25:48-03:00",
      "value": 1.64591963
    },
    {
      "timestamp": "2026-03-09T19:42:12-03:00",
      "value": 1.64591788
    },
    {
      "timestamp": "2026-03-09T19:54:48-03:00",
      "value": 1.64591419
    },
    {
      "timestamp": "2026-03-09T20:59:48-03:00",
      "value": 2.92169079
    },
    {
      "timestamp": "2026-03-10T20:59:48-03:00",
      "value": 2.88766798
    },
    {
      "timestamp": "2026-03-10T22:04:12-03:00",
      "value": 1.68129552
    },
    {
      "timestamp": "2026-03-11T04:57:36.001000-03:00",
      "value": 1.62453366
    },
    {
      "timestamp": "2026-03-11T20:59:48-03:00",
      "value": 2.88127801
    },
    {
      "timestamp": "2026-03-12T20:59:48.001000-03:00",
      "value": 2.88011767
    },
    {
      "timestamp": "2026-03-13T20:59:48-03:00",
      "value": 2.52021872
    },
    {
      "timestamp": "2026-03-14T20:59:48.001000-03:00",
      "value": 2.56456761
    },
    {
      "timestamp": "2026-03-15T09:16:36-03:00",
      "value": 1.94164034
    },
    {
      "timestamp": "2026-03-15T20:59:48-03:00",
      "value": 2.51237893
    },
    {
      "timestamp": "2026-03-16T15:03:36-03:00",
      "value": 2.06757152
    },
    {
      "timestamp": "2026-03-16T20:59:48-03:00",
      "value": 2.47173602
    }
  ],
  "liquidityHistory": [
    {
      "timestamp": "2025-12-26T20:59:48-03:00",
      "value": 11296111.0391603
    },
    {
      "timestamp": "2025-12-27T20:59:48-03:00",
      "value": 11289748.4949562
    },
    {
      "timestamp": "2025-12-28T20:59:48-03:00",
      "value": 11288268.4254671
    },
    {
      "timestamp": "2025-12-29T20:59:48-03:00",
      "value": 11234329.4159485
    },
    {
      "timestamp": "2025-12-30T20:59:48.001000-03:00",
      "value": 11244459.6749245
    },
    {
      "timestamp": "2025-12-31T20:59:48.001000-03:00",
      "value": 11239947.7760725
    },
    {
      "timestamp": "2026-01-01T20:59:48.001000-03:00",
      "value": 11237092.7961125
    },
    {
      "timestamp": "2026-01-02T20:59:48.001000-03:00",
      "value": 11236916.9937155
    },
    {
      "timestamp": "2026-01-03T20:59:48-03:00",
      "value": 11241402.9671607
    },
    {
      "timestamp": "2026-01-04T20:59:48-03:00",
      "value": 11233352.9227235
    },
    {
      "timestamp": "2026-01-05T20:59:48.001000-03:00",
      "value": 11237882.2581965
    },
    {
      "timestamp": "2026-01-06T20:59:48-03:00",
      "value": 11290741.9450799
    },
    {
      "timestamp": "2026-01-07T20:59:48-03:00",
      "value": 11342669.7358018
    },
    {
      "timestamp": "2026-01-08T20:59:48-03:00",
      "value": 11348510.1513512
    },
    {
      "timestamp": "2026-01-09T20:59:48-03:00",
      "value": 11341724.0043331
    },
    {
      "timestamp": "2026-01-10T20:59:48-03:00",
      "value": 11330188.1060254
    },
    {
      "timestamp": "2026-01-11T20:59:48-03:00",
      "value": 11330562.5049157
    },
    {
      "timestamp": "2026-01-12T20:59:48.001000-03:00",
      "value": 11341306.7820928
    },
    {
      "timestamp": "2026-01-13T20:59:48-03:00",
      "value": 11504938.5346755
    },
    {
      "timestamp": "2026-01-14T20:59:48-03:00",
      "value": 11592590.3292069
    },
    {
      "timestamp": "2026-01-15T20:59:48.001000-03:00",
      "value": 11595369.4815902
    },
    {
      "timestamp": "2026-01-16T20:59:48.001000-03:00",
      "value": 11563327.0696705
    },
    {
      "timestamp": "2026-01-17T20:59:48-03:00",
      "value": 11653376.6381749
    },
    {
      "timestamp": "2026-01-18T20:59:48.001000-03:00",
      "value": 11743651.9070569
    },
    {
      "timestamp": "2026-01-19T20:59:48-03:00",
      "value": 11766207.8741768
    },
    {
      "timestamp": "2026-01-20T20:59:48.001000-03:00",
      "value": 11840458.6332973
    },
    {
      "timestamp": "2026-01-21T20:59:48-03:00",
      "value": 11957656.6927645
    },
    {
      "timestamp": "2026-01-22T20:59:48-03:00",
      "value": 12023924.959503
    },
    {
      "timestamp": "2026-01-23T20:59:48-03:00",
      "value": 11963859.1632098
    },
    {
      "timestamp": "2026-01-24T20:59:48-03:00",
      "value": 12217039.721712
    },
    {
      "timestamp": "2026-01-25T20:59:48-03:00",
      "value": 12331534.3539899
    },
    {
      "timestamp": "2026-01-26T20:59:48-03:00",
      "value": 12666200.2631364
    },
    {
      "timestamp": "2026-01-27T20:59:48-03:00",
      "value": 12703520.8206493
    },
    {
      "timestamp": "2026-01-28T20:59:48-03:00",
      "value": 13124410.6111819
    },
    {
      "timestamp": "2026-01-29T20:59:48-03:00",
      "value": 13167842.7420405
    },
    {
      "timestamp": "2026-01-30T20:59:48-03:00",
      "value": 13127115.2763955
    },
    {
      "timestamp": "2026-01-31T20:59:48.001000-03:00",
      "value": 13665819.7240938
    },
    {
      "timestamp": "2026-02-01T20:59:48.001000-03:00",
      "value": 13800504.5349826
    },
    {
      "timestamp": "2026-02-02T20:59:48-03:00",
      "value": 13689596.0084555
    },
    {
      "timestamp": "2026-02-03T20:59:48-03:00",
      "value": 13565366.7373821
    },
    {
      "timestamp": "2026-02-04T20:59:48.001000-03:00",
      "value": 13884995.274485
    },
    {
      "timestamp": "2026-02-05T20:59:48.001000-03:00",
      "value": 14223570.9576752
    },
    {
      "timestamp": "2026-02-06T20:59:48.001000-03:00",
      "value": 14172230.7429966
    },
    {
      "timestamp": "2026-02-07T20:59:48-03:00",
      "value": 14192859.6123496
    },
    {
      "timestamp": "2026-02-08T20:59:48.001000-03:00",
      "value": 14015688.813693
    },
    {
      "timestamp": "2026-02-09T20:59:48-03:00",
      "value": 13789342.8375633
    },
    {
      "timestamp": "2026-02-10T20:59:48.001000-03:00",
      "value": 13825593.3922434
    },
    {
      "timestamp": "2026-02-11T20:59:48-03:00",
      "value": 13772593.1066473
    },
    {
      "timestamp": "2026-02-12T20:59:48-03:00",
      "value": 13800282.0823659
    },
    {
      "timestamp": "2026-02-13T20:59:48-03:00",
      "value": 13816324.8679414
    },
    {
      "timestamp": "2026-02-14T20:59:48.001000-03:00",
      "value": 13848178.7539438
    },
    {
      "timestamp": "2026-02-15T20:59:48-03:00",
      "value": 13883194.3961953
    },
    {
      "timestamp": "2026-02-16T20:59:48-03:00",
      "value": 13904133.357602
    },
    {
      "timestamp": "2026-02-17T20:59:48-03:00",
      "value": 13885974.5525018
    },
    {
      "timestamp": "2026-02-18T20:59:48.001000-03:00",
      "value": 13918538.801497
    },
    {
      "timestamp": "2026-02-19T20:59:48-03:00",
      "value": 13908979.6517322
    },
    {
      "timestamp": "2026-02-20T20:59:48.001000-03:00",
      "value": 13927743.7378499
    },
    {
      "timestamp": "2026-02-21T20:59:48-03:00",
      "value": 13930808.7825679
    },
    {
      "timestamp": "2026-02-22T20:59:48-03:00",
      "value": 13930542.5105826
    },
    {
      "timestamp": "2026-02-23T20:59:48-03:00",
      "value": 13957452.3494377
    },
    {
      "timestamp": "2026-02-24T20:59:48-03:00",
      "value": 13938024.0069446
    },
    {
      "timestamp": "2026-02-25T20:59:48-03:00",
      "value": 14059777.1079611
    },
    {
      "timestamp": "2026-02-26T20:59:48-03:00",
      "value": 14093926.5987944
    },
    {
      "timestamp": "2026-02-27T20:59:48-03:00",
      "value": 14176919.26804
    },
    {
      "timestamp": "2026-02-28T20:59:48-03:00",
      "value": 14204381.184783
    },
    {
      "timestamp": "2026-03-01T20:59:48-03:00",
      "value": 14266826.8270867
    },
    {
      "timestamp": "2026-03-02T20:59:48.001000-03:00",
      "value": 14284128.5586064
    },
    {
      "timestamp": "2026-03-03T20:59:48-03:00",
      "value": 14305138.7772894
    },
    {
      "timestamp": "2026-03-04T20:59:48-03:00",
      "value": 14319442.2446589
    },
    {
      "timestamp": "2026-03-05T20:59:48-03:00",
      "value": 14377917.621621
    },
    {
      "timestamp": "2026-03-06T20:59:48.001000-03:00",
      "value": 14456766.2321649
    },
    {
      "timestamp": "2026-03-07T20:59:48-03:00",
      "value": 14268879.5274108
    },
    {
      "timestamp": "2026-03-08T20:59:48.001000-03:00",
      "value": 14354217.1888264
    },
    {
      "timestamp": "2026-03-09T13:50:00-03:00",
      "value": 7981164.61642035
    },
    {
      "timestamp": "2026-03-09T19:24:36-03:00",
      "value": 7974878.11672344
    },
    {
      "timestamp": "2026-03-09T19:25:48-03:00",
      "value": 7974883.87458017
    },
    {
      "timestamp": "2026-03-09T19:42:12-03:00",
      "value": 7974964.30099646
    },
    {
      "timestamp": "2026-03-09T19:54:48-03:00",
      "value": 7975020.24299016
    },
    {
      "timestamp": "2026-03-09T20:59:48-03:00",
      "value": 14157285.6838937
    },
    {
      "timestamp": "2026-03-10T20:59:48-03:00",
      "value": 14086290.8623787
    },
    {
      "timestamp": "2026-03-10T22:04:12-03:00",
      "value": 8203158.70015752
    },
    {
      "timestamp": "2026-03-11T04:57:36.001000-03:00",
      "value": 7931070.66425291
    },
    {
      "timestamp": "2026-03-11T20:59:48-03:00",
      "value": 14080549.2698719
    },
    {
      "timestamp": "2026-03-12T20:59:48.001000-03:00",
      "value": 14086987.6767285
    },
    {
      "timestamp": "2026-03-13T20:59:48-03:00",
      "value": 13182617.7459468
    },
    {
      "timestamp": "2026-03-14T20:59:48.001000-03:00",
      "value": 13298102.3921407
    },
    {
      "timestamp": "2026-03-15T09:16:36-03:00",
      "value": 10116848.6640619
    },
    {
      "timestamp": "2026-03-15T20:59:48-03:00",
      "value": 13162097.6054072
    },
    {
      "timestamp": "2026-03-16T15:03:36-03:00",
      "value": 10820268.0278244
    },
    {
      "timestamp": "2026-03-16T20:59:48-03:00",
      "value": 13055200.3106652
    }
  ],
  "scoreHistory": [
    {
      "date": "2026-03-09",
      "masterScore": 49.0,
      "marketScore": 76.0,
      "githubScore": 25.0,
      "aiScore": 48.0,
      "socialScore": 0.0,
      "rating": "avoid",
      "usefulness": 53,
      "codeQuality": 28,
      "adoption": 55,
      "shipSpeed": 21
    },
    {
      "date": "2026-03-10",
      "masterScore": 49.0,
      "marketScore": 76.0,
      "githubScore": 25.0,
      "aiScore": 48.0,
      "socialScore": 0.0,
      "rating": "avoid",
      "usefulness": 53,
      "codeQuality": 28,
      "adoption": 55,
      "shipSpeed": 21
    },
    {
      "date": "2026-03-15",
      "masterScore": 49.0,
      "marketScore": 76.0,
      "githubScore": 25.0,
      "aiScore": 48.0,
      "socialScore": 0.0,
      "rating": "avoid",
      "usefulness": 55,
      "codeQuality": 28,
      "adoption": 45,
      "shipSpeed": 19
    },
    {
      "date": "2026-03-18",
      "masterScore": 41.0,
      "marketScore": 76.0,
      "githubScore": 25.0,
      "aiScore": 48.0,
      "socialScore": 0.0,
      "rating": "C",
      "usefulness": 55,
      "codeQuality": 28,
      "adoption": 45,
      "shipSpeed": 19
    },
    {
      "date": "2026-03-19",
      "masterScore": 41.0,
      "marketScore": 76.0,
      "githubScore": 25.0,
      "aiScore": 48.0,
      "socialScore": 0.0,
      "rating": "C",
      "usefulness": 55,
      "codeQuality": 28,
      "adoption": 45,
      "shipSpeed": 19
    },
    {
      "date": "2026-03-20",
      "masterScore": 41.0,
      "marketScore": 76.0,
      "githubScore": 25.0,
      "aiScore": 48.0,
      "socialScore": 0.0,
      "rating": "C",
      "usefulness": 55,
      "codeQuality": 28,
      "adoption": 45,
      "shipSpeed": 19
    },
    {
      "date": "2026-03-21",
      "masterScore": 37.0,
      "marketScore": 76.0,
      "githubScore": 25.0,
      "aiScore": 27.0,
      "socialScore": 0.0,
      "rating": "C",
      "usefulness": 51,
      "codeQuality": 30,
      "adoption": 40,
      "shipSpeed": 19
    },
    {
      "date": "2026-03-22",
      "masterScore": 44.0,
      "marketScore": 76.0,
      "githubScore": 25.0,
      "aiScore": 28.0,
      "socialScore": 0.0,
      "rating": "C",
      "usefulness": 52,
      "codeQuality": 32,
      "adoption": 39,
      "shipSpeed": 19
    },
    {
      "date": "2026-03-23",
      "masterScore": 38.0,
      "marketScore": 76.0,
      "githubScore": 25.0,
      "aiScore": 30.0,
      "socialScore": 4.0,
      "rating": "C",
      "usefulness": 54,
      "codeQuality": 29,
      "adoption": 41,
      "shipSpeed": 19
    },
    {
      "date": "2026-03-24",
      "masterScore": 20.0,
      "marketScore": 15.0,
      "githubScore": 25.0,
      "aiScore": 28.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 34,
      "codeQuality": 34,
      "adoption": 13,
      "shipSpeed": 17
    },
    {
      "date": "2026-03-25",
      "masterScore": 19.0,
      "marketScore": 14.0,
      "githubScore": 25.0,
      "aiScore": 28.0,
      "socialScore": 4.0,
      "rating": "F",
      "usefulness": 36,
      "codeQuality": 28,
      "adoption": 14,
      "shipSpeed": 19
    },
    {
      "date": "2026-03-26",
      "masterScore": 20.0,
      "marketScore": 14.0,
      "githubScore": 25.0,
      "aiScore": 30.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 35,
      "codeQuality": 35,
      "adoption": 15,
      "shipSpeed": 17
    },
    {
      "date": "2026-03-27",
      "masterScore": 22.0,
      "marketScore": 15.0,
      "githubScore": 25.0,
      "aiScore": 38.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 42,
      "codeQuality": 31,
      "adoption": 21,
      "shipSpeed": 17
    },
    {
      "date": "2026-03-30",
      "masterScore": 24.0,
      "marketScore": 16.0,
      "githubScore": 25.0,
      "aiScore": 48.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 38,
      "codeQuality": 28,
      "adoption": 11,
      "shipSpeed": 19
    },
    {
      "date": "2026-04-01",
      "masterScore": 20.0,
      "marketScore": 16.0,
      "githubScore": 25.0,
      "aiScore": 28.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 37,
      "codeQuality": 28,
      "adoption": 15,
      "shipSpeed": 17
    },
    {
      "date": "2026-04-02",
      "masterScore": 19.0,
      "marketScore": 16.0,
      "githubScore": 28.0,
      "aiScore": 21.0,
      "socialScore": 4.0,
      "rating": "F",
      "usefulness": 30,
      "codeQuality": 27,
      "adoption": 13,
      "shipSpeed": 23
    },
    {
      "date": "2026-04-03",
      "masterScore": 25.0,
      "marketScore": 16.0,
      "githubScore": 28.0,
      "aiScore": 48.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 38,
      "codeQuality": 28,
      "adoption": 11,
      "shipSpeed": 25
    },
    {
      "date": "2026-04-07",
      "masterScore": 22.0,
      "marketScore": 13.0,
      "githubScore": 28.0,
      "aiScore": 37.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 37,
      "codeQuality": 31,
      "adoption": 23,
      "shipSpeed": 27
    },
    {
      "date": "2026-04-08",
      "masterScore": 21.0,
      "marketScore": 14.0,
      "githubScore": 28.0,
      "aiScore": 31.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 40,
      "codeQuality": 29,
      "adoption": 15,
      "shipSpeed": 23
    },
    {
      "date": "2026-04-11",
      "masterScore": 19.0,
      "marketScore": 12.0,
      "githubScore": 28.0,
      "aiScore": 26.0,
      "socialScore": 4.0,
      "rating": "F",
      "usefulness": 35,
      "codeQuality": 28,
      "adoption": 14,
      "shipSpeed": 23
    },
    {
      "date": "2026-04-15",
      "masterScore": 20.0,
      "marketScore": 14.0,
      "githubScore": 28.0,
      "aiScore": 26.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 33,
      "codeQuality": 27,
      "adoption": 16,
      "shipSpeed": 25
    },
    {
      "date": "2026-04-16",
      "masterScore": 21.0,
      "marketScore": 17.0,
      "githubScore": 28.0,
      "aiScore": 28.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 36,
      "codeQuality": 28,
      "adoption": 15,
      "shipSpeed": 23
    },
    {
      "date": "2026-04-17",
      "masterScore": 22.0,
      "marketScore": 18.0,
      "githubScore": 28.0,
      "aiScore": 32.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 37,
      "codeQuality": 30,
      "adoption": 16,
      "shipSpeed": 23
    },
    {
      "date": "2026-04-19",
      "masterScore": 21.0,
      "marketScore": 16.0,
      "githubScore": 28.0,
      "aiScore": 28.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 37,
      "codeQuality": 28,
      "adoption": 13,
      "shipSpeed": 23
    },
    {
      "date": "2026-04-22",
      "masterScore": 20.0,
      "marketScore": 15.0,
      "githubScore": 28.0,
      "aiScore": 27.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 36,
      "codeQuality": 28,
      "adoption": 14,
      "shipSpeed": 23
    },
    {
      "date": "2026-04-23",
      "masterScore": 20.0,
      "marketScore": 15.0,
      "githubScore": 28.0,
      "aiScore": 25.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 34,
      "codeQuality": 28,
      "adoption": 13,
      "shipSpeed": 23
    },
    {
      "date": "2026-04-24",
      "masterScore": 21.0,
      "marketScore": 14.0,
      "githubScore": 28.0,
      "aiScore": 30.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 36,
      "codeQuality": 31,
      "adoption": 16,
      "shipSpeed": 24
    },
    {
      "date": "2026-04-25",
      "masterScore": 20.0,
      "marketScore": 15.0,
      "githubScore": 28.0,
      "aiScore": 27.0,
      "socialScore": 4.0,
      "rating": "D",
      "usefulness": 34,
      "codeQuality": 28,
      "adoption": 15,
      "shipSpeed": 24
    },
    {
      "date": "2026-04-26",
      "masterScore": 19.0,
      "marketScore": 14.0,
      "githubScore": 28.0,
      "aiScore": 24.0,
      "socialScore": 4.0,
      "rating": "F",
      "usefulness": 33,
      "codeQuality": 27,
      "adoption": 13,
      "shipSpeed": 23
    },
    {
      "date": "2026-04-29",
      "masterScore": 21.0,
      "marketScore": 14.0,
      "githubScore": 28.0,
      "aiScore": 30.0,
      "socialScore": 5.0,
      "rating": "D",
      "usefulness": 37,
      "codeQuality": 28,
      "adoption": 14,
      "shipSpeed": 23
    }
  ],
  "githubHistory": [
    {
      "date": "2026-03-09",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-03-10",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-03-15",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-03-18",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-03-20",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-03-21",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-03-22",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-03-23",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-03-25",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-03-26",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-03-30",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-03-31",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-02",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-03",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-06",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-07",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-10",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-14",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-16",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-19",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-22",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-23",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-24",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-25",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-26",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    },
    {
      "date": "2026-04-29",
      "stars": 0,
      "forks": 0,
      "watchers": 0,
      "contributors": 6,
      "commits30d": 0,
      "commits90d": 0,
      "mergedPrs30d": 0,
      "mergedPrs90d": 0,
      "releases12m": 19,
      "openIssues": 0,
      "closedIssues30d": 0
    }
  ],
  "socialAccounts": [
    {
      "handle": "tensorplexlabs",
      "role": "project",
      "label": null,
      "source": "aggressive_scrape",
      "confidence": 0.7,
      "profile_image_url": null
    }
  ],
  "recentTweets": [
    {
      "tweet_id": "2049512239238168691",
      "handle": "TensorplexLabs",
      "text": "Tensorplex Stake &amp; Bridge have been deprecated. To prioritise safety, users will have to manually withdraw their existing balances. Please visit the staking page for more details.\n\nShould you wish to stake on Bittensor, visit @BackpropFinance\n\nThank you for being part of this! https://t.co/zKBEeFPHqG",
      "created_at": "2026-04-29T12:32:50-03:00",
      "likes": 0,
      "retweets": 0,
      "replies": 0,
      "views": 462,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "2004243883203744078",
      "handle": "TensorplexLabs",
      "text": "The team has decided to suspend development of the Dojo subnet.\n\nDojo was originally designed to decentralise the pipeline for high-quality human feedback and model fine-tuning. Throughout its development, we achieved several significant technical milestones, most notably the release of DOJO-INTERFACE-CODER-7B and our open-source contributions of human feedback data. These efforts were critical to our mission of narrowing the gap between open-source AI and proprietary, state-of-the-art models.\n\nTackling one of the most complex problems in decentralised AI has provided us with invaluable lessons. We would like to share some factors that led to this decision:\n\nWhilst working with several startups on the monetisation of human feedback collection, we found that the technical cost of tailoring anti-gaming mechanisms to specific client needs made the current model economically unviable. It remains a significant challenge to build a framework that is simultaneously generalisable across modalities and rigorous enough for enterprise standards.\n\nWe believe that for decentralisation to be meaningful, it must be built upon a foundation of tangible market utility. Consequently, we are shifting our immediate focus to building commercial pipelines and validating monetisation strategies. Tensorplex will be restructuring to focus our full attention on this \"utility-first\" strategy.\n\nBittensor\u2019s greatest strength is the diversity of its ecosystem. While our focus has shifted towards commercialisation, we believe the network thrives on a plurality of approaches - whether through research, monetisation, or attention. Our path is one of many attempts to drive the collective ecosystem forward. We hope that our insights, combined with our access to a broader enterprise network, will enable us to contribute even more effectively to the network in the future.\n\nThe Dojo subnet repository will remain public as an open-source archive for anyone wishing to fork the code and continue the ambitious mission of decentralising the human interface for Bittensor. We\u2019ll be more than happy to support independent teams with insights from our journey, helping to ensure that the progress made on Dojo remains a valuable resource for the entire Bittensor ecosystem.\n\nWe want to extend our deepest gratitude to every miner, validator, developer, and community member who contributed their talents, resources, and feedback. Your passion is what built Dojo, and that spirit will continue to influence our future work.\n\nOnwards,\nTensorplex Labs",
      "created_at": "2025-12-25T14:32:33-03:00",
      "likes": 12,
      "retweets": 0,
      "replies": 4,
      "views": 2591,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1978346152442347709",
      "handle": "TensorplexLabs",
      "text": "The Bittensor ecosystem is on \ud83d\udd25, subnet markets are booming.\n\nTrade the top-performing subnets with your $TAO on Backprop Finance!",
      "created_at": "2025-10-15T03:24:13-03:00",
      "likes": 12,
      "retweets": 2,
      "replies": 3,
      "views": 4306,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1973650988822307029",
      "handle": "TensorplexLabs",
      "text": "The Bittensor Conclave @ Token 2049 Singapore, featuring subnet owners @const_reborn, @macrocrux, @6329, and @DistStateAndMe\n\nHappy to see miners, validators, builders and investors coming together to share their vision on what the future of decentralised AI will look like! https://t.co/FSgPNRblnG",
      "created_at": "2025-10-02T04:27:19-03:00",
      "likes": 62,
      "retweets": 9,
      "replies": 9,
      "views": 11565,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1966150704202133842",
      "handle": "TensorplexLabs",
      "text": "RT @BackpropFinance: Backprop just crossed $1 BILLION in trading volume!\nHere\u2019s to everyone who made it happen \ud83e\udd42 https://t.co/aMv9SqIB1h",
      "created_at": "2025-09-11T11:43:51-03:00",
      "likes": 20,
      "retweets": 3,
      "replies": 0,
      "views": 4020,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1963649720662065432",
      "handle": "TensorplexLabs",
      "text": "RT @BackpropFinance: Bittensor Subnet Ecoystsem Weekly Recap (1/3)\n\n@dstrbtd_ai - DSTRBTD's 1.1B model Hits 69 ARC-E Accuracy\n\n@gradients_a\u2026",
      "created_at": "2025-09-04T14:05:50-03:00",
      "likes": 28,
      "retweets": 8,
      "replies": 4,
      "views": 6108,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1961232332729299077",
      "handle": "TensorplexLabs",
      "text": "The future of decentralized intelligence converges in Singapore.\n\nBittensor Conclave @ Token2049 Singapore\n\ud83d\udccd October 1, 2025 \u00b7 4\u20138pm SGT\n\nWhere subnets meet. Where builders unite. Where TAO accelerates.\n\n\u27a4 State of Bittensor\n\u27a4 Subnet presentations\n\u27a4 Panels & networking\n\nSubnets are building. The community is uniting. TAO is accelerating.\n\n\ud83d\udd17 Secure your spot: https://t.co/iXyQVTYYaX",
      "created_at": "2025-08-28T22:00:00-03:00",
      "likes": 85,
      "retweets": 20,
      "replies": 12,
      "views": 18255,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1960691849712296411",
      "handle": "TensorplexLabs",
      "text": "RT @ckcheung: Sharing about Bittensor with Chinese institutional investors today. \n\nMany OGs here come from Bitcoin mining, so they\u2026",
      "created_at": "2025-08-27T10:12:19-03:00",
      "likes": 165,
      "retweets": 30,
      "replies": 14,
      "views": 14740,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1958597456490635269",
      "handle": "TensorplexLabs",
      "text": "RT @BackpropFinance: \ud83d\udea8 AI Summarized Podcasts are now live! Catch your top podcasts all in one place with AI powered by @chutes_ai\n\nNovelty\u2026",
      "created_at": "2025-08-21T15:29:57-03:00",
      "likes": 104,
      "retweets": 22,
      "replies": 8,
      "views": 15983,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1952996125780390180",
      "handle": "TensorplexLabs",
      "text": "RT @markjeffrey: Great report!",
      "created_at": "2025-08-06T04:32:15-03:00",
      "likes": 31,
      "retweets": 6,
      "replies": 4,
      "views": 4834,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1952995216761532610",
      "handle": "TensorplexLabs",
      "text": "Follow @BackpropFinance for Bittensor Ecosystem updates and more!",
      "created_at": "2025-08-06T04:28:39-03:00",
      "likes": 13,
      "retweets": 3,
      "replies": 1,
      "views": 2571,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1952392077322735932",
      "handle": "TensorplexLabs",
      "text": "RT @BackpropFinance: \ud83d\udea8 Native Bittensor Subnet V3 Liquidity Pools are now supported on Backprop!\n\u2705 View Subnets where you can deposit liqui\u2026",
      "created_at": "2025-08-04T12:31:59-03:00",
      "likes": 21,
      "retweets": 7,
      "replies": 2,
      "views": 2953,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1951868585368002888",
      "handle": "TensorplexLabs",
      "text": "RT @markjeffrey: Hash Rate - Ep 124: Backprop / Tensorplex / Dojo (sn52) \n\ud83e\uddd9 Guest: CK @ckcheung of @TensorplexLabs @BackpropFinance\u2026",
      "created_at": "2025-08-03T01:51:49-03:00",
      "likes": 45,
      "retweets": 10,
      "replies": 11,
      "views": 13813,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1950414629307294104",
      "handle": "TensorplexLabs",
      "text": "RT @ckcheung: My pleasure sharing what we are building @TensorplexLabs and @BackpropFinance on the podcast of the legendary @markjef\u2026",
      "created_at": "2025-07-30T01:34:19-03:00",
      "likes": 28,
      "retweets": 6,
      "replies": 3,
      "views": 3280,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1948981326238847245",
      "handle": "TensorplexLabs",
      "text": "RT @BackpropFinance: Who\u2019s making the next big move? \n\nOur customizable Telegram alerts \ud83d\udea8 track trades across your favorite subnets or wall\u2026",
      "created_at": "2025-07-26T02:38:53-03:00",
      "likes": 23,
      "retweets": 10,
      "replies": 3,
      "views": 4546,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1948728045596279061",
      "handle": "TensorplexLabs",
      "text": "RT @axionyu: Say hello to the future of Telegram trading on Bittensor Network with Backprop \ud83d\udc4b\n\nSet custom alerts for any wallet or subnet,\u2026",
      "created_at": "2025-07-25T09:52:26-03:00",
      "likes": 12,
      "retweets": 2,
      "replies": 2,
      "views": 1866,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1948396617155104933",
      "handle": "TensorplexLabs",
      "text": "RT @BackpropFinance: Bittensor Ecosystem Updates:\n\n@taoshiio launches Risk-Free Theta Staking \n\n@SwarmSubnet introduces Autonomous AI Drone\u2026",
      "created_at": "2025-07-24T11:55:27-03:00",
      "likes": 0,
      "retweets": 1,
      "replies": 0,
      "views": 0,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1947543692107247850",
      "handle": "TensorplexLabs",
      "text": "\ud83d\udd25\ud83d\udd25 The team\u2019s been shipping relentlessly!\n\n\ud83d\udea2 INTERFACE-CODER-7B by Dojo: First-of-its-kind UI Generation Model\n\ud83d\udea2 Human Feedback Loop: Iterative improvement through distributed human network\n\nand now\u2014our Telegram dTAO Trading Bot is live!\n\nTrade now: https://t.co/1Exj47KbeC",
      "created_at": "2025-07-22T03:26:14-03:00",
      "likes": 22,
      "retweets": 9,
      "replies": 2,
      "views": 3818,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1947255882443534411",
      "handle": "TensorplexLabs",
      "text": "RT @axionyu: Bittensor Subnet Ecosystem Recap for the Week!\n\nAI Twins Revolutionize Therapy @BetterTherapyAI \n\nqBitTensor Solves Quantum Fa\u2026",
      "created_at": "2025-07-21T08:22:35-03:00",
      "likes": 21,
      "retweets": 4,
      "replies": 1,
      "views": 3007,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    },
    {
      "tweet_id": "1946869024660582642",
      "handle": "TensorplexLabs",
      "text": "RT @BackpropFinance: \ud83d\ude80 What\u2019s the fastest way to buy $TAO?\nJust type: /buy 52 10\n\nWe\u2019re rolling out our Telegram trading bot in the next fe\u2026",
      "created_at": "2025-07-20T06:45:21-03:00",
      "likes": 48,
      "retweets": 17,
      "replies": 5,
      "views": 3441,
      "is_retweet": false,
      "is_reply": false,
      "media_type": null
    }
  ]
}
