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ENJA

smb-adtech-platform

haoyangfeng2024/smb-adtech-platform

An AI-powered, privacy-compliant programmatic advertising infrastructure designed specifically for U.S. small and medium-sized businesses.

475 37MITUpdated 2026-05-08

Overview

The SMB AdTech Platform brings enterprise-grade programmatic advertising capabilities to smaller businesses by offering cross-publisher delivery, privacy-first probabilistic attribution, and automated machine learning bidding models (DeepFM, GAT, PPO reinforcement learning). It removes technical barriers and high minimum spend requirements through a self-serve API and an LLM marketing assistant.

Capabilities

  • Cross-publisher ad delivery across open internet, mobile apps, and CTV
  • Privacy-first probabilistic attribution and synthetic data generation
  • LLM-assisted campaign creation and natural language management
  • Real-time ML bidding powered by DeepFM, GAT, and PPO reinforcement learning
  • OpenRTB-compatible bid request and response handling via FastAPI

Best for

Running automated cross-platform advertising campaigns with low monthly budgets, Real-time ad bid optimization using reinforcement learning and deep click-through rate prediction, Privacy-compliant campaign performance measurement without user-level tracking or third-party cookies

Works with

Claude CodeCodexChatGPTCursorGitHub CopilotOpenCode
Evoa Score breakdown= Σ (score × weight)
79
Task usefulness20%88 → +17.6

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%88 → +13.2

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%70 → +10.5

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%32 → +3.8

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%100 → +15.0

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%69 → +5.5

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%100 → +5.0

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total79.2 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

The platform implements privacy-first probabilistic measurement without user-level tracking to comply with modern privacy standards like ATT.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.