{ "netuid": 18, "slug": "zeus", "name": "Zeus", "symbol": "\u03c3", "description": "Pushing weather forecasts beyond state-of-the-art", "priceTao": 0.006908142, "priceUsd": 1.7481129715472223, "athUsd": 1.7481129715472223, "change24h": -0.5495288580389542, "change7d": -3.969943821903772, "change30d": -9.018842116034941, "change90d": 0.0, "marketCapUsd": 7864617.390721928, "volume24hUsd": 30642.927168785467, "rootProp": 0.16759334008237198, "liquidityUsd": 6388518.705906037, "alphaStaked": 2670557.576451799, "activeMiners": 18, "activeValidators": 11, "emissionPct": 0.003217589529722339, "emissionPerDayTao": 1.0, "registrationCost": 0.0, "pruningRank": 31, "immunityRemaining": 65422, "sentiment": "Neutral", "githubRepo": "https://github.com/Orpheus-AI/Zeus", "subnetUrl": "https://www.zeussubnet.com/", "scorecard": { "adoption": { "label": "weak", "score": 24, "reasons": [ { "tone": "neutral", "label": "Stars", "value": "22", "weight": null }, { "tone": "neutral", "label": "Contributors", "value": "6", "weight": null }, { "tone": "neutral", "label": "24h volume", "value": "$30,643", "weight": null }, { "tone": "neutral", "label": "Validators", "value": "11", "weight": null }, { "tone": "positive", "label": "Bus factor", "value": "Top contributor: 50%", "weight": null }, { "tone": "neutral", "label": "LLM blend", "value": "heuristic=16 \u00d7 0.6 + llm=35 \u00d7 0.4", "weight": null } ] }, "shipSpeed": { "label": "mixed", "score": 55, "reasons": [ { "tone": "neutral", "label": "Commits 30d", "value": "5", "weight": null }, { "tone": "neutral", "label": "Merged PRs 30d", "value": "5", "weight": null }, { "tone": "positive", "label": "Releases 12m", "value": "25", "weight": null }, { "tone": "positive", "label": "Latest push", "value": "2026-04-24T15:11:36Z", "weight": null }, { "tone": "neutral", "label": "Momentum", "value": "stable (5/30d vs 4/mo avg)", "weight": null }, { "tone": "neutral", "label": "LLM blend", "value": "heuristic=63 \u00d7 0.6 + llm=42 \u00d7 0.4", "weight": null } ] }, "updatedAt": "2026-04-29T20:41:08.730672+00:00", "confidence": 0.82, "usefulness": { "label": "watch", "score": 45, "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=64 \u00d7 0.4", "weight": null } ] }, "codeQuality": { "label": "weak", "score": 18, "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": "0.3 avg, 60% self-merge", "weight": null }, { "tone": "neutral", "label": "Commit quality", "value": "0% 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=22 \u00d7 0.4", "weight": null } ] } }, "marketScore": 11.0, "githubScore": 39.0, "aiScore": 44.0, "masterScore": 30.0, "masterRating": "D", "lastUpdatedAt": "2026-04-29T20:21:48Z", "isStale": false, "masterScorePrev": 29.0, "purpose": { "title": "Zeus", "source": "llm", "confidence": 0.72, "shortSummary": "Zeus (SN18) is a Bittensor subnet focused on AI-driven environmental and weather forecasting, incentivizing decentralized prediction models. It occupies a legitimate real-world domain but suffers from critically weak engineering hygiene\u2014no CI, no tests, no lint\u2014and a 0.6 self-merge ratio. With 18 active miners, 11 validators, and a $7.86M market cap that has declined ~9% over 30 days, adoption is modest and momentum is soft." }, "analysis": { "risks": [ "Severe code quality deficit: no CI, no tests, no lint config, commit message quality score of 0.0, and a self-merge ratio of 0.6 (above the 0.5 red-flag threshold)\u2014indicating minimal peer review and high regression risk", "Declining market metrics with price down 9% over 30 days and only $30.6K in 24h volume against a $7.86M market cap, pointing to weak secondary demand and low liquidity utilization" ], "score": 44, "summary": "Zeus (SN18) is a Bittensor subnet focused on AI-driven environmental and weather forecasting, incentivizing decentralized prediction models. It occupies a legitimate real-world domain but suffers from critically weak engineering hygiene\u2014no CI, no tests, no lint\u2014and a 0.6 self-merge ratio. With 18 active miners, 11 validators, and a $7.86M market cap that has declined ~9% over 30 days, adoption is modest and momentum is soft.", "provider": "cascade:sonnet", "expiresAt": "2026-05-29T20:30:54.181960+00:00", "strengths": [ "Real-world domain with durable demand: weather/climate forecasting is a legitimate, non-commodity problem with persistent societal utility beyond crypto speculation", "25 releases in 12 months demonstrate consistent delivery cadence despite low absolute commit velocity (13 commits in 90 days), suggesting structured milestone shipping", "Operational network with 18 active miners and 11 active validators provides functional decentralization on a subnet with $7.86M market cap and $6.39M liquidity" ], "updatedAt": "2026-04-29T20:30:54.181960+00:00", "durability": "watch", "recommendation": "Hold evaluation pending a code quality uplift\u2014specifically CI pipeline, test coverage, and enforced PR reviews\u2014before this subnet can be considered investment-grade despite its valid forecasting use case.", "dimensionScores": { "adoption": 35, "shipSpeed": 42, "usefulness": 64, "codeQuality": 22 } }, "repoCoverageStatus": "covered", "image": "https://www.zeussubnet.com/favicon.ico?favicon.0x3dzn~oxb6tn.ico", "repos": [ { "netuid": 18, "repoKind": "primary", "provider": "github", "owner": "Orpheus-AI", "name": "Zeus", "url": "https://github.com/Orpheus-AI/Zeus", "source": "registry", "isArchived": false, "isFork": false } ], "repoSnapshots": [ { "fullName": "Orpheus-AI/Zeus", "description": "Zeus Subnet leverages AI to forecast environmental variables using real-time global data. It incentivizes innovation in climate science by enabling miners and validators to develop and evolve efficient, decentralized prediction models.", "homepageUrl": "", "defaultBranch": "main", "stars": 22, "forks": 22, "watchers": 5, "contributors": 6, "commits30d": 5, "commits90d": 13, "mergedPrs30d": 5, "mergedPrs90d": 16, "releases12m": 25, "openIssues": 0, "closedIssues30d": 0, "languages": [ { "name": "Python", "percentage": 98.1 }, { "name": "Shell", "percentage": 1.9 } ], "topics": [ "bittensor", "climate-forecasting", "weather-forecasting" ], "rootSignals": { "hasCi": false, "hasTests": false, "hasLintConfig": false, "hasFormatterConfig": false, "hasTypeScript": false, "hasLicense": true, "hasSecurityPolicy": false, "hasDocs": true, "hasDocker": false, "hasDependabot": false, "hasRenovate": false, "rootEntries": [ ".gitignore", "LICENSE", "README.md", "docs", "min_compute.yml", "neurons", "requirements.txt", "run_neuron.py", "setup.py", "setup.sh", "start_miner.sh", "start_validator.sh", "static", "zeus" ] }, "readmeExcerpt": "

\"Zeus

SN18: Zeus Environmental Forecasting Subnet
\u00d8rpheus AI

! License: MIT https://img.shields.io/badge/License-MIT-yellow.svg Welcome to the Zeus Subnet! This repository contains all the necessary information to get started, understand our subnet architecture, and contribute. Quick Links - Mining Guide \u26cf\ufe0f docs/Mining.md - Incentive mechanism \ud83c\udf81 docs/ScoringChallengesCalculatingWeights.ipynb - Validator Guide \ud83d\udd27 docs/Validating.md > !IMPORTANT > If you are new to Bittensor, ", "pushedAt": "2026-04-24T15:11:36Z", "isArchived": false, "isFork": false, "commitMessageQuality": 0.0, "selfMergeRatio": 0.6, "avgReviewsPerPr": 0.3, "hasBranchProtection": false, "topContributorPct": 0.5, "avgCommentsPerIssue": 0.24, "avgResponseHours": 0.0, "prMergeHoursP50": 0.0, "prMergeHoursP95": 69.9, "contributorChurn30d": 0.0, "vulnerabilityCount": 0 } ], "externalLinks": [ { "label": "Website", "href": "https://www.zeussubnet.com/" }, { "label": "GitHub", "href": "https://github.com/Orpheus-AI/Zeus" } ], "priceHistory": [ { "timestamp": "2025-12-26T20:59:48-03:00", "value": 2.68322785 }, { "timestamp": "2025-12-27T20:59:48-03:00", "value": 2.78303189 }, { "timestamp": "2025-12-28T20:59:48-03:00", "value": 2.83816393 }, { "timestamp": 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"role": "project", "label": null, "source": "taostats_identity", "confidence": 0.95, "profile_image_url": "https://pbs.twimg.com/profile_images/1978455425172283392/N7PVzWx3_normal.jpg" } ], "recentTweets": [ { "tweet_id": "2049148721737191738", "handle": "zeussubnet", "text": "Less than a month ago, we introduced SSRD (Surface Solar Radiation Downwards) to Zeus.\n\nHere's how two random UIDs (65 & 141) have performed on it, the past 14 days.\n\nShows how competing teams adapt to new variables like SSRD, with performance shifting as they adjust.\n\nNote: iwRMSE = RMSE with (w) latitude weighting to correct grid bias and (i) incentive scaling for target regions.", "created_at": "2026-04-28T12:28:21-03:00", "likes": 29, "retweets": 3, "replies": 1, "views": 942, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2047577870025781297", "handle": "zeussubnet", "text": "RT @wouterhar: A few years ago, Bittensor was just another project to most people. Tomorrow? It\u2019s going to be the \"Bitcoin of Intelligence.\u2026", "created_at": "2026-04-24T04:26:21-03:00", "likes": 124, "retweets": 13, "replies": 4, "views": 4290, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2046596502470938755", "handle": "zeussubnet", "text": "\ud83d\udd25 The two TOP teams battling it out on Zeus.\n\nSnapshot of their past 14 days performance (rank) on global, 48h, 2m temperature forecast runs.\n\nSoon, a clear view of how they stack up against the world\u2019s best models. https://t.co/WLjuhXfnEc", "created_at": "2026-04-21T11:26:44-03:00", "likes": 30, "retweets": 1, "replies": 3, "views": 1750, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2046256848718725177", "handle": "zeussubnet", "text": "New Zeus DASHBOARD now LIVE!\n\nBuilt with direct input from competing teams, what you're seeing...\n\n\u23f3 Forecast run, hashing & evaluation timeline\n\ud83d\udcc9 Per-miner RMSE & MAE breakdowns + over-time graphs\n\ud83d\udd01 Validator occurrences with hash, top-k & scoring states\n\nMore coming: lead-time analysis, unweighted metrics, benchmarks & more.\n\n\ud83d\udd17 https://t.co/QKlmkhAYXT", "created_at": "2026-04-20T12:57:05-03:00", "likes": 39, "retweets": 5, "replies": 1, "views": 2987, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2045885676596441382", "handle": "zeussubnet", "text": "\ud83d\udc40 @Bloomberg on weather prediction markets.\n\n\"@Kalshi and @Polymarket may improve forecasting by aggregating knowledge.\"\n\nZeus has been proving that, already.\n\nIn Zeus, aggregation is refined through Mixture of Experts, and driven by continuous optimization on Bittensor. https://t.co/q015xONeP7", "created_at": "2026-04-19T12:22:10-03:00", "likes": 40, "retweets": 6, "replies": 0, "views": 1698, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2044819083208671485", "handle": "zeussubnet", "text": "Beyond proving value to trading desks, these pilots are also testing something more fundamental:\n\nCan you steer a global forecasting network to improve specifically where your portfolio needs it?\n\nHere\u2019s how we\u2019re structuring it: partners set the coordinates and variables that matter for their portfolio. From there, we apply regional weighting aligned with those areas of interest and track performance at those precise points across the full timeline: from initial partnership, to applied weighting, to pilot start, through to pilot end.\n\nThis gives us something most evaluations miss:\n\nA clear view into how valuable decentralized forecasting becomes when programmable.\n\nIf this works, it changes the conversation entirely. More to come as we track results.", "created_at": "2026-04-16T13:43:54-03:00", "likes": 23, "retweets": 2, "replies": 0, "views": 1080, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2043724171608224187", "handle": "zeussubnet", "text": "\ud83d\ude80 PILOT PHASE!\n\nZeus has undergone many developments leading up to this. Here\u2019s a snapshot of the last two weeks and what\u2019s coming next on the technical side.\n\nChangelow below. \ud83d\udc47 https://t.co/dJBcv3jZpb", "created_at": "2026-04-13T13:13:07-03:00", "likes": 43, "retweets": 7, "replies": 1, "views": 1786, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2042277312905781414", "handle": "zeussubnet", "text": "Zeus, a blockchain-based weather forecasting system, visualized. \ud83d\udc47\n\nUnder the hood: 24/7 competition, on-chain evaluation, continuous iteration, and adaptive selection.\n\nUnlike static ensembles or single-model approaches, this creates an ongoing, self-improving system that adapts to changing weather patterns and keeps extracting incremental gains in forecast accuracy.\n\n$TAO Subnet 18", "created_at": "2026-04-09T13:23:49-03:00", "likes": 29, "retweets": 4, "replies": 2, "views": 1429, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2038980186545209370", "handle": "zeussubnet", "text": "RT @egillwx: Weather translated for traders.\n\nLike a Trojan Horse. \ud83d\udc47\n\nWe aggregate the forecasts traders already use. Then layer in context\u2026", "created_at": "2026-03-31T11:02:13-03:00", "likes": 9, "retweets": 1, "replies": 0, "views": 1070, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2038671222007902676", "handle": "zeussubnet", "text": "Early look into ARCTIC.\n\nThe weather data layer for energy traders.\n\nARCTIC brings together the forecasts traders already rely on and Zeus powered forecasts, in a single workflow with traders context.\n\nCompare runs, track shifts, and see how weather translates into market impact.\n\n(wireframe preview) \ud83d\udc47", "created_at": "2026-03-30T14:34:30-03:00", "likes": 47, "retweets": 7, "replies": 5, "views": 7086, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2037567759261831504", "handle": "zeussubnet", "text": "Yesterday (26/3), @Bloomberg wrote that traders in Europe\u2019s weather-driven energy markets are turning to AI tools designed not to predict temperatures, but to forecast the forecast.\n\nA month before (18/2), we introduced \u201cForecast the Forecast\u201d in Zeus as part of our roadmap, anticipating IFS model updates.\n\n\u2705 Bloomberg validated our direction: the one the market is converging on. We\u2019re still early, and we\u2019ll be rolling this out after first trials.\n\nhttps://t.co/BB4SwmkmJo", "created_at": "2026-03-27T13:29:44-03:00", "likes": 35, "retweets": 11, "replies": 1, "views": 2199, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2036846805908967918", "handle": "zeussubnet", "text": "After refactoring Zeus to global runs, the output starts to looks different.\n\nThis is one miner's forecast. Now rendered as a global map w/ both temperature (2m) and wind (100m) vectors.\n\nFrom scattered boxes to full planet systems. This'll accompany the dashboard for miners, coming soon.", "created_at": "2026-03-25T13:44:55-03:00", "likes": 61, "retweets": 12, "replies": 6, "views": 2360, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2036111252028600616", "handle": "zeussubnet", "text": "\ud83c\udfd4\ufe0f One of many great use cases, highlighted by @here4impact.\n\nWeather impacts decisions everywhere. Deploying stations and retraining models with local data unlocks value:\n- At renewable assets, to minimize balancing costs.\n- At farms, to optimize crop growth.\n- At construction, to schedule weather-sensitive work.\n- At the F1 grid, to improve tire management.\n- At ski slopes, to optimize planning.\n\u2026 and many more!\n\nInterested in this value proposition? Let's talk! \nDM \u27a1\ufe0f @egillwx", "created_at": "2026-03-23T13:02:06-03:00", "likes": 18, "retweets": 3, "replies": 1, "views": 1644, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2034669274279674153", "handle": "zeussubnet", "text": "Here\u2019s the first 2m temperature run since the Zeus upgrade went live. \ud83c\udf0d\n\nPreviously, miners were forecasting weather across scattered bounding boxes, thousands of times per day. \n\nNow, they generate full global predictions in four synchronized runs at 00, 06, 12, and 18 UTC, each with hourly resolution.\n\nWhy? Industry standard. Now, it's directly compatible with downstream trading workflows.", "created_at": "2026-03-19T13:32:11-03:00", "likes": 56, "retweets": 9, "replies": 3, "views": 3227, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2034307578327359514", "handle": "zeussubnet", "text": "After a (busy) week of testing and development, Zeus leveled up on mainnet.\n\nThe competition is now fully optimized for one thing: accurate forecasts on the exact variables that matter for our first energy trading pilots.", "created_at": "2026-03-18T13:34:56-03:00", "likes": 34, "retweets": 2, "replies": 0, "views": 1901, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2033254021369143525", "handle": "zeussubnet", "text": "RT @wouterhar: What do you think we are we working on?\n\nSundays in the office are the best days\u2026 free 8 hours more to work on Zeus.\n\nWorkin\u2026", "created_at": "2026-03-15T15:48:29-03:00", "likes": 41, "retweets": 3, "replies": 5, "views": 1718, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2032126517526798819", "handle": "zeussubnet", "text": "RT @wouterhar: Built @zeussubnet for exactly this moment.\n\nAI is rapidly overtaking physics-based weather forecasting. Renewables are overt\u2026", "created_at": "2026-03-12T13:08:11-03:00", "likes": 54, "retweets": 5, "replies": 4, "views": 3014, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2031769355210612945", "handle": "zeussubnet", "text": "Big news!\n\nZeus is launching its first pilot with a European energy trading firm.\n\nStarting April 1st, our forecasts will be converted into renewable generation estimates, with divergences from IFS used to trigger directional power trades, and performance measured across day-ahead, week-ahead, and weekend-ahead markets.\n\nLaunching this pilot is a huge step in building Zeus\u2019 presence across energy trading desks.", "created_at": "2026-03-11T13:28:57-03:00", "likes": 141, "retweets": 18, "replies": 20, "views": 15951, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2029957153964892232", "handle": "zeussubnet", "text": "Major dev updates to Zeus, coming next week.\n\n\ud83c\udfc6 Winner Takes All\n\ud83c\udf0d Worldwide, strictly future-oriented forecasts\n\ud83d\udd12 Hash-first submissions to stop relay mining\n\u26a1 Synapse compression for efficient transfer\n\nCode & technical docs releasing next week.", "created_at": "2026-03-06T13:27:54-03:00", "likes": 28, "retweets": 4, "replies": 4, "views": 6160, "is_retweet": false, "is_reply": false, "media_type": null }, { "tweet_id": "2029260582612857104", "handle": "zeussubnet", "text": "The average generation efficiency of solar plants deploying weather stations rises ~15%!\n\n\ud83d\udccd On-site data is the hidden asset powering renewable returns. Most assets still don\u2019t have it, huge untapped potential.\n\nIn the works. Preparing pilots as we speak. https://t.co/7AKZAQHtTL", "created_at": "2026-03-04T15:19:59-03:00", "likes": 23, "retweets": 2, "replies": 1, "views": 967, "is_retweet": false, "is_reply": false, "media_type": null } ] }