Strategic insights for B2B leaders · Daily Growth Digest ➜ Get insight
Technical Projects
To bridge the gap between technical complexity and business strategy, I develop applications
(Python, React, API integrations) and I am certified in AI (Anthropic, Databricks - HarvardX currently in training).
Examples of applications
From vision to execution: how operatioanl support unlocks business growth and digital performance.
Daily Growth Digest
Daily Growth Digest is an automated content curation system that generates daily strategic insights for B2B executives (CEOs, CROs, CMOs).
What It Does
Fetches articles from 8+ RSS feeds (TechCrunch, VentureBeat, Marketing Week, SaaStr, etc.)
Filters last 24 hours of content using Claude AI to select the 8-10 most relevant articles
Generates strategic insights and summaries for each article
Publishes a beautifully formatted HTML digest daily at 7:00 AM UTC via GitHub Actions
Covers three categories: AI & Automation, Growth Marketing, and B2B SaaS
Tech Stack
Language: Python 3.9+
Key Dependencies:
anthropic - Claude AI SDK for content analysis
feedparser - RSS feed parsing
requests - HTTP requests
AI Model: Claude Sonnet 4 (claude-sonnet-4-20250514)
Frontend: Static HTML with Google Fonts (Lora + Inter typography)
Automation: GitHub Actions (daily cron job)
Cost: $0.05 per digest ($1.50/month)
Main Entry Points
digest_final.py - Main script with four key functions:
fetch_rss_articles() - Pulls articles from RSS feeds (digest_final.py:170)
filter_with_claude() - AI-powered filtering and analysis (digest_final.py:200)
generate_html() - Creates HTML output (digest_final.py:246)
main() - Orchestrates the workflow (digest_final.py:293)
GitHub Actions automation config
Output: output.html - Generated digest file
AI Governance Readiness Assessment
AI Governance Readiness Assessment is an AI-powered diagnostic tool for B2B companies (€2M-€20M revenue) to assess their architecture maturity.
What It Does
Assess their architecture maturity across 4 dimensions:
📊 Data & Systems
🎯 Strategy & Alignment
🤖 AI & Automation
⚡ Execution & Optimization
Users complete a 20-question assessment, receive real-time scoring with a radar chart, and get personalized AI-generated recommendations from Claude.
Tech Stack
Frontend: React 18 (via CDN + Babel standalone), Tailwind CSS
No build process - everything runs in the browser with inline JSX
Visualization: Chart.js for radar charts
AI Analysis: Anthropic Claude API (claude-sonnet-4-20250514)
Backend: Netlify Functions (serverless)
Database: Airtable for lead/response storage
Deployment: Netlify
Main Entry Points
index.html (934 lines) - Single-page application containing:
React component: DiagnosticTool starts at line 19
20 assessment questions defined at line 28
Claude API integration at line 204 for AI-generated analysis
Netlify Function call at line 511 for data submission to Airtable
Complete UI flow: intro → questions → email capture → AI analysis → results
External Dependencies:
Claude AI analysis
Data storage endpoint (Netifly)
Architecture: Pure client-side React app with no local build tools or package.json - all dependencies loaded via CDN.
Schedule a 15-minute
strategy call with Florian
This call will provide an overview of my services and
how I can specifically help your company grow.