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

  1. 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)

  2. GitHub Actions automation config

  3. 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

  1. 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

  2. External Dependencies:

    • Claude AI analysis

    • Data storage endpoint (Netifly)

  3. 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.