7 projects in this category

AutoPilot syncs Meta and Yelp ad data for agencies, auto-generates PDF reports via Claude, and drafts AI review responses—eliminating manual client reporting workflows. Built with FastAPI, SQLAlchemy, and Claude Haiku integration, it pulls campaign metrics from Graph API and surfaces AI-powered optimization recommendations. Handles multi-client management with SQLite backend and Jinja2 templating for dynamic PDFs.

PythonFastAPISQLiteSQLAlchemyClaude Haiku APIAnthropic APIMeta Graph APIYelp APIfpdf2Jinja2httpxJWTbcrypt

**CommandCenter** is a centralized ops dashboard that aggregates status, logs, and controls for multiple microservices across the OpenClaw ecosystem, deployed on a VPS gateway and local dev instance. Built with Python (Flask/SQLite), it syncs real-time project state via automated SCP and renders templated dashboards (landing page, master log, service registry) served at thirstyai.live. Includes lightweight Sentry integration, multi-instance Kalshi manager spawning, and automated deployment via systemctl—handling auth, port routing, and cross-environment sync without manual intervention.

PythonFlaskSQLiteDigitalOcean VPSsystemd serviceAnthropic APIRobinhood APITelegram Bot APIX APIHTML/CSS/JavaScript
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**KeywordDashboard** aggregates search volume, SERP analysis, and keyword difficulty scoring into a single Streamlit dashboard, solving SEO research fragmentation across multiple tools. Integrates SerpApi and DataForSEO APIs with SQLite snapshots of search history, plus automated on-page SEO checks and business-profile scraping from URLs. Deployed locally; powers keyword strategy for agencies like Thirsty Aztec.

StreamlitSQLitePythonSerpApiDataForSEO APISerper APIhttpxBeautifulSoup4pandasPlotlypython-dotenv

LeadAuditPipeline automates B2B lead discovery and qualification by scraping Google Places, verifying contact info, and generating audit reports with cold-email drafts—turning raw business listings into sales-ready prospects in minutes. It orchestrates Google Places API, Geocoding, and PageSpeed Insights queries by geography and category, outputting structured JSON, PDF reports, and pre-formatted emails per prospect. Fully configurable by ZIP code and radius with cost tracking; designed for sales teams running targeted outreach campaigns at scale.

PythonGoogle Places APIGoogle Geocoding APIGoogle PageSpeed Insights APIrequestsBeautiful Souppython-dotenvReportLabphonenumbersemail-validator

**MarketingHQ** unifies seven agency workflows—client management, social scheduling, review monitoring, task tracking, print ad management, PDF reporting, and lead acquisition—in a modular Flask architecture where each service runs independently on its own port with isolated SQLite databases and virtual environments. The Hub dashboard aggregates all modules into a single control plane, letting agencies coordinate campaigns and client work without context-switching across tools. Built for local development with bash orchestration scripts, it demonstrates full-stack multi-service coordination and the operational complexity of consolidating disparate marketing functions.

FlaskPythonSQLiteAnthropic APIPDF generationGoogle Reviews APIYelp APISocial media schedulingCRMJinja2 templatesBash shell scripts
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**Marketing Command Center** syncs performance data from Google Ads, Facebook Ads, and Yelp across multiple venue locations into a unified dashboard, solving fragmented campaign visibility for multi-location businesses. Built with Python orchestration (run_sync.py), FastAPI backend, React frontend, and real-time Telegram alerts; handles Google Ads API v23 quirks (resource naming, bidding strategy constraints) through custom sync modules with audit trails. Processes timestamped snapshots into audit-ready reports and surfaces anomalies across ~$5M+ in annual ad spend across 50+ campaigns.

PythonFastAPIReactGoogle Ads APIFacebook Ads APIYelp APITelegram Bot APISQLiteJSONCORS middleware
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ThirstyAudit is a Telegram bot that audits any website URL and delivers a graded PDF report card covering SEO, security, performance, accessibility, and analytics using Claude AI analysis. Built with python-telegram-bot and fpdf2, it collects raw audit data via curl, pipes it to Claude's Code CLI for intelligent grading, then generates a styled report—all rate-limited to one audit per chat to prevent abuse.

Pythonpython-telegram-botfpdf2Anthropic Claude APITelegram Bot APIcurlmacOS LaunchAgent

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