I build tools to understand, automate and experiment.
This site is my technical notebook: I document my projects, workflows,
AI experiments and the tools I build through my explorations.
The subjects I explore
A map of my projects and curiosities: web, data, AI, automation, scraping and internal tools.
AI & experimentation
LLM, embedding, RAG and agent experiments. The goal: understand what really works, beyond the demos.
Automation
n8n workflows, Python scripts, webhooks and APIs. I try to connect tools to eliminate repetitive tasks.
Data & pipelines
Collect, clean, enrich and move data. Often messier than expected, but always interesting to structure.
Projects & deployment
From idea to a running tool: VPS, Docker, Traefik, logs, errors, fixes, deployment.
Acquisition & growth
SEO, scoring, CRM, emails, analytics and qualification. The topic that ties marketing, data and automation together.
Tools & methods
The tools I use, the workflows I test, what I keep, what I drop, and why.
Recent notes
Experience reports on what I test, build, break, fix and gradually understand.
AI Detection of Business Signals: Building a Useful RevOps System
How I built a RevOps pipeline for automatic B2B business signal detection: scraping, WTTJ via Algolia, Trustpilot/LinkedIn monitoring, AI qualification, explainable scoring and an operational SDR interface.
Redesigning dolist.com from the Ground Up
A hands-on retrospective on consolidating dolist.com: information architecture, SEO, 301 redirects, content rewriting, QA testing, and real lessons learned from a large-scale web project.
Detecting Company Expansion Signals with WTTJ, LinkedIn, and n8n
How to automatically detect company expansion signals from Welcome to the Jungle, LinkedIn, and news pages, and why WTTJ's Algolia API changes everything about the approach.
How I usually assemble my workflows
A project, an idea or a shared topic?
I document here what I build and what I learn. If a topic resonates
with your own challenges, I'd be curious to discuss it.