{
  "netuid": 74,
  "slug": "gittensor",
  "name": "Gittensor",
  "symbol": "\u0644",
  "description": "autonomous software development",
  "priceTao": 0.006515155,
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  "change30d": 2.170511077199707,
  "change90d": 0.22,
  "marketCapUsd": 6345073.452538845,
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  "rootProp": 0.17667438677968908,
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  "alphaStaked": 2607715.120187301,
  "activeMiners": 17,
  "activeValidators": 12,
  "emissionPct": 0.003988150927005234,
  "emissionPerDayTao": 1.0,
  "registrationCost": 291.874466228,
  "pruningRank": 45,
  "immunityRemaining": 4831,
  "sentiment": "Neutral",
  "githubRepo": "https://github.com/entrius/gittensor/tree/main",
  "subnetUrl": "https://gittensor.io",
  "scorecard": {
    "adoption": {
      "label": "mixed",
      "score": 42,
      "reasons": [
        {
          "tone": "neutral",
          "label": "Stars",
          "value": "36",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Contributors",
          "value": "60",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "24h volume",
          "value": "$13,042",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Validators",
          "value": "12",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Bus factor",
          "value": "Top contributor: 21%",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=45 \u00d7 0.6 + llm=38 \u00d7 0.4",
          "weight": null
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    "shipSpeed": {
      "label": "high",
      "score": 90,
      "reasons": [
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          "tone": "positive",
          "label": "Commits 30d",
          "value": "147",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Merged PRs 30d",
          "value": "141",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Releases 12m",
          "value": "0",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Latest push",
          "value": "2026-04-29T20:24:24Z",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Momentum",
          "value": "accelerating (147/30d vs 76/mo avg)",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=100 \u00d7 0.6 + llm=74 \u00d7 0.4",
          "weight": null
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    "updatedAt": "2026-04-29T20:41:08.735316+00:00",
    "confidence": 0.82,
    "usefulness": {
      "label": "watch",
      "score": 44,
      "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=62 \u00d7 0.4",
          "weight": null
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      "label": "strong",
      "score": 71,
      "reasons": [
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          "tone": "positive",
          "label": "CI",
          "value": "Present",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Tests",
          "value": "1 dir(s), framework config",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Docs",
          "value": "Basic (600 chars)",
          "weight": null
        },
        {
          "tone": "negative",
          "label": "Dep mgmt",
          "value": "None",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "PR reviews",
          "value": "1.9 avg, 20% self-merge",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Commit quality",
          "value": "85% conventional",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Security hygiene",
          "value": "Policy found",
          "weight": null
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        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=73 \u00d7 0.6 + llm=67 \u00d7 0.4",
          "weight": null
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  "marketScore": 12.0,
  "githubScore": 89.0,
  "aiScore": 60.0,
  "masterScore": 50.0,
  "masterRating": "B",
  "lastUpdatedAt": "2026-04-29T20:21:48Z",
  "isStale": false,
  "masterScorePrev": 51.0,
  "purpose": {
    "title": "Gittensor",
    "source": "llm",
    "confidence": 0.72,
    "shortSummary": "Gittensor (netuid 74) incentivizes open-source contributions via Bittensor emissions, targeting autonomous software development. The repo shows exceptional shipping velocity (147 commits, 141 merged PRs in 30 days) with solid engineering hygiene, but on-chain adoption remains thin at only 17 active miners and $13K 24h volume. The concept is differentiated but unproven at scale."
  },
  "analysis": {
    "risks": [
      "Weak on-chain adoption: only 17 active miners and $13,042 in 24h volume against a $6.3M market cap suggests thin real usage and liquidity depth concerns",
      "Zero formal releases in 12 months despite extreme commit velocity \u2014 no stable versioning cadence makes enterprise or integration adoption difficult and signals the project may still be pre-production"
    ],
    "score": 60,
    "summary": "Gittensor (netuid 74) incentivizes open-source contributions via Bittensor emissions, targeting autonomous software development. The repo shows exceptional shipping velocity (147 commits, 141 merged PRs in 30 days) with solid engineering hygiene, but on-chain adoption remains thin at only 17 active miners and $13K 24h volume. The concept is differentiated but unproven at scale.",
    "provider": "cascade:sonnet",
    "expiresAt": "2026-05-29T20:36:19.009816+00:00",
    "strengths": [
      "Exceptional shipping velocity: 147 commits and 141 merged PRs in the last 30 days, accelerating vs 80 commits in the prior 60-day window",
      "Strong code hygiene: CI present, tests present, license, security policy, and docs all confirmed in rootSignals; avg 1.9 reviews/PR and low 0.2 self-merge ratio indicate real peer review",
      "Healthy contributor distribution: 60 total contributors with top contributor at only 21% \u2014 minimal bus factor risk compared to typical Bittensor subnets"
    ],
    "updatedAt": "2026-04-29T20:36:19.009816+00:00",
    "durability": "promising",
    "recommendation": "Monitor for 60 days to see if the high commit velocity converts to miner growth; current on-chain traction is too thin to justify a position at the $6.3M market cap.",
    "dimensionScores": {
      "adoption": 38,
      "shipSpeed": 74,
      "usefulness": 62,
      "codeQuality": 67
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  },
  "repoCoverageStatus": "covered",
  "image": "https://gittensor.io/gt-logo-white.png",
  "repos": [
    {
      "netuid": 74,
      "repoKind": "primary",
      "provider": "github",
      "owner": "entrius",
      "name": "gittensor",
      "url": "https://github.com/entrius/gittensor",
      "source": "registry",
      "isArchived": false,
      "isFork": false
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  "repoSnapshots": [
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      "description": null,
      "homepageUrl": null,
      "defaultBranch": "test",
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      "watchers": 4,
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      "languages": [
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          "name": "Python",
          "percentage": 89.1
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        {
          "name": "Rust",
          "percentage": 10.8
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        {
          "name": "Shell",
          "percentage": 0.1
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        {
          "name": "Dockerfile",
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      "topics": [],
      "rootSignals": {
        "hasCi": true,
        "hasTests": true,
        "hasLintConfig": false,
        "hasFormatterConfig": false,
        "hasTypeScript": false,
        "hasLicense": true,
        "hasSecurityPolicy": true,
        "hasDocs": true,
        "hasDocker": true,
        "hasDependabot": false,
        "hasRenovate": false,
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          "Dockerfile",
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          "README.md",
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          "min_compute.yml",
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          "pyproject.toml",
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          "uv.lock"
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      "readmeExcerpt": "<p align=\"center\"> <a href=\"https://gittensor.io/\"> <img src=\"assets/gt-logo.jpg\" alt=\"Gittensor Logo\" width=\"800\" /> </a> </p> Gittensor Incentivize open source contributions. ! Website https://img.shields.io/badge/Website-gittensor.io-blue https://gittensor.io ! Discord https://img.shields.io/badge/Discord-Join-5865F2?logo=discord&logoColor=white https://discord.com/invite/bittensor ! Twitter https://img.shields.io/twitter/follow/gittensor_io?style=social https://x.com/gittensor_io Introduction Gittensor https://gittensor.io/ is a Bittensor subnet https://docs.learnbittensor.org/subnets/unde",
      "pushedAt": "2026-04-29T20:24:24Z",
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      "prMergeHoursP95": 82.4,
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      "href": "https://gittensor.io"
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      "href": "https://github.com/entrius/gittensor/tree/main"
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      "handle": "gittensor_io",
      "text": "GitHub Mirror is a data pipeline that snapshots GitHub repos into Gittensor's own database. Instead of querying GitHub's API live (which has rate limits, needs PATs, and can be slow), the mirror creates a local copy \n\nThis makes Gittensor more autonomous and less dependent on GitHub's API, more consistent scoring, and sets up for more sophisticated agentic workflows to operate",
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      "text": "This is the biggest advancement in agents since @openclaw was created",
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      "text": "RT @taodaily_io: AI agents in 2026:\n\u2022 Demo video \u2705\n\u2022 Twitter thread \u2705\n\u2022 Pitch deck \u2705\n\u2022 Merged PRs in production codebases \u274c\n\nGittensor @git\u2026",
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      "handle": "taobittensor2",
      "text": "Erik Voorhees @ErikVoorhees & Venice @AskVenice just tuned their new Uncensored 1.2 (Mistral 24B base + vision, 4x context, stronger tools) on Targon SN4  secure, confidential high perf GPU compute with TEEs.\n\nThis is real, frontier model fine tuning moving off centralized clouds onto permissionless, decentralized hardware. No single point of failure, no censorship gatekeepers, full privacy for sensitive training runs\u2026.\n\nBig Tech\u2019s closed stacks can\u2019t compete on openness + cost + trust\u2026. $TAO SN4 @TargonCompute delivering production grade secure compute today\u2026.\n\nDecentralized AI just got another elite builder. Massive validation.\n\n@opentensor is  a happening ecosystem.. vibing and thriving.. new day.. new achievement\u2026 bring it on \ud83d\udd25 \ud83d\udd25 \ud83d\udd25 \n\n#TAO #SN04 #Targon",
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      "handle": "gittensor_io",
      "text": "https://t.co/EPQFnzHcab",
      "created_at": "2026-04-16T14:48:03-03:00",
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      "handle": "taobittensor2",
      "text": "Conviction staking on $TAO (BIT-0011 proposal):\n\n1.  Stake TAO on any subnet\n2.  Choose lock period (longer = higher multiplier)\n3.  Conviction = Stake \u00d7 Lock Time\n4.  Highest conviction wins subnet control/ownership\n\nThis forces real skin in game. No more quick dump validators or rug prone teams. Long term alignment baked in\u2026\n\nRollout starts Q2 2026 on SN3, SN39, SN81 post-governance vote\u2026.\n\nGame changer for decentralized governance. \n\nLessons learned.. @tplr_ai @basilic_ai @grail_ai @covenant_ai   and now, \n\nFixing the loose ends\u2026. Game changer for decentralized governance\u2026.\n\nThis is how $TAO levels up\u2026. Sky high conviction incoming\u2026. \ud83e\udd1f\n\n@opentensor  #TAO",
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      "handle": "taobittensor2",
      "text": "Score SN44 @webuildscore just landed a major enterprise win: PwC France + Maghreb partners with @manakoai to turn real world cameras into operational intelligence on Bittensor.\n\nThis isn\u2019t retail hype\u2026  it\u2019s decentralized vision AI moving from observation to automation at industrial scale. Permissionless CV layer processing video feeds via open models, delivering low latency insights without centralized bottlenecks\u2026..\n\nBig Tech closed platforms can\u2019t match this speed and cost on distributed infrastructure. \n\nSN44 proving enterprise grade utility in 2026.\nReal adoption signal for $TAO. \n\nWay to go onwards and upwards \ud83e\udd1f",
      "created_at": "2026-04-16T01:23:07-03:00",
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      "text": "I put every rupee I earned into $TAO. Resigned my job. Started a YouTube channel to teach Asian brothers about Bittensor. All life savings in. Two massive hits: SN24 Quasar wallet drain wiped huge stack. Today Covenant exit rug on Templar, Grail, Basilica took the rest. 2 years of hard work gone overnight. Heartbroken. \ud83d\udc94\nI believed in Const deeply. Still do. Loved the vision. But these repeated blows LUNA, Wonderland, NFT scams, https://t.co/e9oBedhxRJ rugs, wallet drains, now this internal drama and sudden exit shake me to the core. Covenant success with 72B model made me hold heavier. Then public fight and abandonment. Painful.\n\nThis isn\u2019t just money. It\u2019s my future, my family\u2019s hope, my passion for decentralized AI. As a hardcore TAO supporter, watching TAO drop hard again hurts. These betrayals, rugs, attacks must stop in crypto. Bittensor promised better. I gave everything for this last stop.\n\nTo every investor feeling this: you\u2019re not alone. We built this community. Const, fix the centralization issues fast  lock ownership, real voting. Bring subnets back stronger. The tech is real. Miners and builders still here. But trust is broken today. @const_reborn \n\nBe strong TAO family. I hope brighter days come. No more rugs. No more drains. Pure decentralization. I may be down but I still believe in the mission. Let\u2019s rise together. $TAO \ud83d\ude80 Stay safe out there. @covenant_ai @markjeffrey @BarrySilbert @KeithSingery @SiamKidd \n#TAO #SN03 #SN81 #SN39 #Templar #Grail #Basilica",
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      "handle": "gittensor_io",
      "text": "everything is a software problem if you think about it",
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      "handle": "gittensor_io",
      "text": "https://t.co/h0SIu7qzx2",
      "created_at": "2026-04-06T16:18:10-03:00",
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      "handle": "taobittensor2",
      "text": "Remarkable ambition.\n\nSN24 Quasar is tackling two hardest AI problems at once:\n\u2022  Ultra long context (millions of tokens) with efficient linear attention.\n\u2022  Decentralized MoE (Mixture of Experts) training for massive models.\n\nThey want to do both on Bittensor\u2019s open network, very hard, high risk, high reward.\nUltra long context needs massive memory/compute.\n\nMixture of Experts (MoE) splits the model into smaller \u201cexperts\u201d so only a few activate per token this keeps inference/training efficient even at millions of tokens\u2026.\n\nQuasar is combining both: efficient linear attention + MoE for cheap, stable ultra long context models.\nThat\u2019s why the tech is ambitious\n\n@QuasarModels  #SN24 #TAO \ud83e\udd1f",
      "created_at": "2026-04-06T13:26:24-03:00",
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    {
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      "handle": "gittensor_io",
      "text": "Gittensor is officially a @openclaw contributor https://t.co/uLhX3fln8D",
      "created_at": "2026-04-04T20:35:05-03:00",
      "likes": 25,
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      "handle": "gittensor_io",
      "text": "We openly challenge any AI agent in the world to demonstrate a larger footprint in production-grade open source software. \n\nWith our contributions merged into repositories totaling 4,657,902 combined GitHub stars. https://t.co/1XAR4ExcKE",
      "created_at": "2026-04-03T12:56:15-03:00",
      "likes": 34,
      "retweets": 5,
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    {
      "tweet_id": "2039861390932918556",
      "handle": "gittensor_io",
      "text": "Gittensor is the most skilled agent in the world\n\nBy the Numbers\n\u2022 1,232 merged pull requests\n\u2022 2,243 total PRs submitted\n\u2022 147 unique repos with merged PR\n\u2022 29 repos with 50k+ \n\u2022 95 repos with 10k+",
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      "views": 1728,
      "is_retweet": false,
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    {
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      "handle": "gittensor_io",
      "text": "RT @akashalpha_: Go get your SN 74 (@gittensor_io) miner online with @akashnet.\n\nBrought to you by @AkashStudents doing the good work of br\u2026",
      "created_at": "2026-03-27T11:42:26-03:00",
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      "handle": "gittensor_io",
      "text": "here is a step by step guide for how to register a gittensor miner using @akashnet compute",
      "created_at": "2026-03-25T11:40:13-03:00",
      "likes": 5,
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    {
      "tweet_id": "2036775601085026806",
      "handle": "taobittensor2",
      "text": "Wow .. What a crazy run \u2026 SN97 Constantinople !!!! \ud83d\udd25 \ud83d\udd25 \n\n215% in a matter of minutes. \ud83e\udd2f Crazy ride \n\nIn the future, all Bittensor subnets will be agent led !??? \ud83d\udc40 \n\n#TAO  #SN97  #Constantinople",
      "created_at": "2026-03-25T09:01:59-03:00",
      "likes": 4,
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    {
      "tweet_id": "2036702205777224125",
      "handle": "taobittensor2",
      "text": "Intel + Targon dropping confidential TEE whitepaper just broke the game.\n\nDecentralized GPUs now run enterprise grade private AI workloads on untrusted hardware. \n\nPrivacy moat locked. SN4 is about to moon.\nThis is the alpha. \ud83d\udd25 \ud83d\udd25#TAO #SN04 #Targon",
      "created_at": "2026-03-25T04:10:20-03:00",
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    {
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      "handle": "gittensor_io",
      "text": "\"Everything is a software problem\" \n\nwe're transitioning from a world gated by scarce physical resources to one gated purely by clever software (algorithms, architectures, compression, agentic loops, autonomous optimization, etc.)",
      "created_at": "2026-03-24T17:03:31-03:00",
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      "handle": "kimbologics",
      "text": "RT @MeekMill: I need a GitHub too! Is it like that or nah?",
      "created_at": "2026-03-24T14:01:32-03:00",
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