Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/harbor/harbor.py", line 171, in _split_generators
                  raise DataFilesNotFoundError("No task.toml or instruction.md files found")
              datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files found
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

UGC Matrix Growth Playbook

The complete UGC matrix playbook — scale user-generated content with AI + real creators, creator recruitment SOP, incentive design, multi-platform distribution. CPM $0.5 proven at $10M ARR in 60 days.

ClawHub Install GitHub stars GitHub forks License: MIT Website PRs Welcome Last Commit

English | 中文 | 日本語 | 한국어

📦 Install on ClawHub

clawhub install gingiris-ugc-matrix

Then ask your AI agent:

"Scale our UGC from 5 to 50 creators in 60 days" or "Design incentive structure for our content matrix"

Installs the UGC matrix scaling playbook behind the client's $10M ARR in 60 days at CPM $0.5 — creator recruitment SOP, 6:4 real-to-AI ratio framework, multi-platform distribution (TikTok / Instagram / Threads / YouTube), incentive design.

🔗 View on ClawHub · Companion: gingiris-kol-outreach · All 39 Gingiris skills

🚀 30-Second Preview

You: We have 5 creator partners. Scale to 50 in 60 days without breaking the team.
Agent (with gingiris-ugc-matrix):

  Phase 1 — Sourcing (Day 1-15): get to 25 creators
    Channel mix:
    • Existing 5 creators ask to recruit 2 each (referral) → 10 new
    • Cold outreach via creator marketplaces (Phyllo, Aspire) → 8 new
    • Niche Discord/Telegram groups in vertical → 7 new
    • Total: 25, screened via [3-question filter included]

  Phase 2 — Onboarding (Day 16-30): 25 → 35 active
    • Standardize brief: hook + value + CTA (3-frame structure)
    • Affiliate code + dashboard access (Bitly + Stripe)
    • Weekly office hours for creator questions
    • Lose 5 to drop-off, gain 15 via warm referrals → 35

  Phase 3 — Scale (Day 31-60): 35 → 50 + content matrix activation
    • Real-to-AI ratio: 6 real creators × 5 posts/wk + 4 AI-generated cuts
    • Cross-post matrix: 5 platforms × 50 creators × 4 posts/wk = 1000 weekly
    • CPM benchmark: $0.5 ($500 → 1M impressions vs $10K paid ads same reach)

  Numbers from an anonymized client product case (verified):
    • $10M ARR in 60 days, zero ad spend
    • 70M global impressions
    • 500+ creator accounts at peak

The exact scaling SOP — not "do creator marketing."



💡 Why Star this?

  • Battle-Tested: Documents the exact UGC matrix strategy that achieved $10M ARR in 60 days with zero ad spend.
  • AI-Native: Proven 6:4 real-to-AI UGC ratio that delivers CPM $0.5 — 10x cheaper than paid ads.
  • Scalable SOP: From 2-person team to 500+ accounts, complete with creator recruitment, incentive design, and multi-platform distribution.


Why This Playbook?

Most UGC guides are generic advice. This playbook documents the exact operational SOP used by an anonymized client product to achieve:

  • $10M ARR in 60 days — with zero funding, zero ad spend, zero sales team
  • 70M global social media impressions — across TikTok, Instagram, Threads, YouTube
  • CPM $0.5 — 10-20x cheaper than traditional paid advertising
  • 2-person core team managing 50-500 accounts simultaneously

Created by Iris (生姜iris), former cofounder & COO of AFFiNE (60k+ stars), synthesized from internal war room sessions, creator program operations, and multiple AI startup growth consultations.


Key Results

Metric Result Context
💰 ARR $10M Achieved in 60 days
👁️ Impressions 70M Global social media reach
📉 CPM $0.5 ~¥2-3 RMB per thousand views
👥 Team 2 people Core operations team
💸 Ad Budget $0 Zero paid advertising
🤖 AI:Human Ratio 4:6 Trending toward more AI
📱 Account Scale 50-500 Managed per operator

English

Core Methodology: UGC Flywheel

IP Account (build persona, earn trust)
    → Attract quality Creators organically
        → UGC Matrix (50-500 accounts, batch SOP output)
            → Massive exposure amplifies IP reach
                → More Creators join → Flywheel accelerates

Five Pillars of UGC Matrix Growth

1. Creator Recruitment & Tiering

  • Strategists (10 people): Create and test new content concepts
  • Executors (70 people): Replicate proven winning formats at scale
  • Priority channels: Inner circle > Micro-creator DMs > Community > Cold email

2. Incentive Mechanism Design

  • Tiered view-count bonuses: 10K views → +$20, 50K → +$30, 100K → +$50
  • Pay only for highest-performing platform; other platforms = free exposure
  • Team bonus pool: Hit collective target → distribute by contribution %

3. AI Matrix Operations

  • Three-part AI UGC structure: Hook (5s AI avatar) → Use Case Demo → CTA
  • Per-post performance: 100K-200K views per AI account
  • Frequency: 2-3 posts/day (avoid bans)
  • Kling face-swap for multi-persona batch generation

4. Multi-Platform Strategy

Platform Audience Conversion Key Factor
TikTok Gen Z (13-18) Lowest Abstract hooks, viral potential
Instagram 18-25 Medium Shareability, visual quality
YouTube 25-35 Highest First 3-second retention
Threads All ages High Algorithm bonus for new accounts

5. Market Entry Sequence

🇺🇸 US (first) → 🇯🇵 Japan → 🇹🇼 Taiwan + 🇰🇷 Korea → 🌏 Southeast Asia


中文版

核心方法论:UGC飞轮

本手册涵盖从0到规模化的完整UGC矩阵运营方法论:

  • 品牌大使思维:找的不是UGC创作者,而是真正热爱产品的Brand Ambassadors
  • IP号+矩阵号飞轮:IP号立人设招人 → 矩阵号打量 → 飞轮自转
  • AI+真人混合:6:4比例,逐步向AI倾斜,突破人的瓶颈
  • CPM $0.5的秘诀:多平台分发同一内容,只付最高流量平台费用
  • 全员奖金池:取代PK机制,优秀Creator主动帮新人

客户案例关键数据(已脱敏)

指标 数据
团队规模 2人核心
时间周期 60天
ARR ~$10M(1000万美金)
全球曝光 7000万
CPM $0.5
广告费/融资/销售 全部为零

日本語版

UGCマトリックス成長プレイブック

AIとリアルクリエイターを組み合わせたUGCスケーリングの完全SOPです。

主な内容:

  • UGCフライホイール(IPアカウント+マトリックスアカウント)
  • クリエイター採用と階層管理(ストラテジスト10人+エグゼキューター70人)
  • インセンティブ設計(再生数ボーナス+チーム賞金プール)
  • AIマトリックス運用(デジタルアバター+顔交換バッチ生成)
  • マルチプラットフォーム戦略(TikTok/Instagram/YouTube/Threads)
  • 市場参入順序:米国→日本→台湾+韓国→東南アジア

実証データ: CPM $0.5、60日で$10M ARR、7000万インプレッション


한국어 버전

UGC 매트릭스 성장 플레이북

AI와 실제 크리에이터를 결합한 UGC 스케일링 완전 SOP입니다.

주요 내용:

  • UGC 플라이휠 (IP 계정 + 매트릭스 계정)
  • 크리에이터 모집 및 계층 관리 (전략가 10명 + 실행자 70명)
  • 인센티브 설계 (조회수 보너스 + 팀 보너스 풀)
  • AI 매트릭스 운영 (디지털 아바타 + 얼굴 교체 배치 생성)
  • 멀티플랫폼 전략 (TikTok/Instagram/YouTube/Threads)
  • 시장 진입 순서: 미국 → 일본 → 대만 + 한국 → 동남아시아

검증 데이터: CPM $0.5, 60일 $10M ARR, 7000만 노출


🚀 Quick Start

Install as AI Agent Skill

clawhub install gingiris-ugc-matrix

Or clone from GitHub

git clone https://github.com/Gingiris-1031/gingiris-ugc-matrix.git

Use with Claude Code / OpenClaw

Once installed, ask your AI agent:

  • "Help me design a UGC creator program for my SaaS product"
  • "Create a UGC matrix content calendar for TikTok and Instagram"
  • "Design incentive tiers for my UGC creators"
  • "Plan an AI UGC matrix strategy for US market entry"

🦞 Use with AI Agents

This UGC Matrix playbook is available as a ClawHub Skill — install it directly into Claude Code, OpenClaw, or any compatible AI agent:

clawhub install gingiris-ugc-matrix

Your AI agent can then help you design creator programs, plan content calendars, structure incentive mechanisms, and execute multi-platform UGC strategies.


❓ FAQ

Q: What is a UGC matrix?

A: A UGC matrix is a system of 50-500+ social media accounts operated by recruited creators (both real and AI-generated) publishing content simultaneously across platforms. Unlike traditional influencer marketing, it's a long-term, scalable, low-CPM growth engine.

Q: How is this different from KOL/influencer marketing?

A: KOL is a one-time transaction (pay → post → done). UGC matrix creators are long-term partners who continuously produce content, improve over time, and earn performance-based bonuses. The CPM is 10-20x lower.

Q: What's the real vs AI UGC ratio?

A: Currently 6:4 (60% real creators, 40% AI-generated), trending toward more AI. AI handles hooks and batch generation; real creators provide authentic use-case demos and trust signals.

Q: How much does it cost to start?

A: Minimum viable: 2-person team + $10-50/video for creators + view bonuses. The an anonymized client product case achieved $10M ARR with essentially zero paid advertising budget.

Q: Which platforms should I start with?

A: For AI/tech products: Threads (algorithm bonus) + Instagram (shared ecosystem). For consumer apps: TikTok (viral potential) + YouTube Shorts (highest conversion). Always multi-platform distribute the same content.

Q: How do I avoid getting accounts banned?

A: Limit to 2-3 posts/day per account. Use clean overseas IPs. Don't install domestic SIM cards. Warm up accounts for 2-4 weeks before posting. Keep AI hooks under 5 seconds.

Q: What market should I enter first?

A: Always US first. Content standards and user aesthetics are globally highest → easily replicate downward to Japan → Taiwan/Korea → Southeast Asia. Starting from smaller markets and trying to go up is much harder (proven by costly mistakes).

Q: How do I find good UGC creators?

A: Look for "taste" over experience: good lighting, clear audio, strong hooks, native storytelling. Passion > experience. Micro-creators > big influencers. Use your IP account to attract them organically.

Q: What tools do I need?

A: Creator management (Growi), content ideas (Magicbrief), payments (Sideshift), tracking (Viral.app), links (Bitly/Juicebox), multi-platform publishing (Buffer), AI video (Sora 2, Kling).

Q: Can this work for non-AI products?

A: Absolutely. The flywheel mechanics (IP + matrix), incentive design (tiered bonuses + team pool), and multi-platform strategy work for any product category. The AI UGC component is optional but increasingly powerful.


About the Author

Iris (生姜iris) — Former cofounder & COO of AFFiNE (60k+ stars), growth consultant for 150+ AI startups.

Platform Link
🐦 Twitter @WeiYipei
💼 LinkedIn Yipei Wei
💬 Telegram @Iris_carrot
🌐 Website gingiris.com

💡 Need a 1-on-1 consultation for your UGC strategy? Book a session — Contact @Iris_carrot on Telegram


Related Playbooks

Playbook Focus Link
gingiris-launch AI Product Global Launch GitHub
gingiris-opensource Open Source Launch Marketing GitHub
gingiris-b2b-growth B2B SaaS Growth GitHub
gingiris-aso-growth Mobile App ASO & Growth GitHub
gingiris-seo-geo SEO & GEO Dual-Engine GitHub

License

MIT License - Feel free to use and adapt for your own UGC growth strategy!


🔗 Related Gingiris Skills

Skill Focus Install
gingiris-kol-outreach KOL & Influencer Marketing SOP clawhub install gingiris-kol-outreach
gingiris-aso-growth ASO & App Cold Start Growth clawhub install gingiris-aso-growth
gingiris-launch Product Hunt & Global Launch clawhub install gingiris-launch
gingiris-go-global Go-Global Expansion Strategy clawhub install gingiris-go-global

📦 Full collection: gingiris-skills — All playbooks in one bundle.

加入出海社群与购买资料包 · Community & Resources

  • 加入出海社群: 微信添加 staywildgrow,留言「加入社群」即可。

  • 购买资料包: 微信添加 staywildgrow,咨询购买 Gingiris 出海资料包,价格 599 元人民币。

  • Join the global growth community: Add staywildgrow on WeChat and send “加入社群” (join the community).

  • Get the resource pack: Add staywildgrow on WeChat to purchase the Gingiris global growth resource pack for CNY 599.

社群与资料包为可选入口,不影响本开源 Skill 的安装和使用。

The community and paid resource pack are optional; neither is required to install or use this open-source skill.

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