Pressure-test the idea
Every venture started as a research question worth answering. The lab designs the study, runs it with real users, and puts the method through peer review before a line of product code ships.
St. Louis ↔ Italy · est. 2023
Tangled research in.
Shipped ventures out.
Spaghetti Code Labs is a research-to-product incubator. We take peer-reviewed work and grow it into apps, datasets, and companies — two ventures incubated and launched, with five million users, an EU Horizon Europe grant, and an IEEE paper between them.
/* the incubator */
Where research papers become shipped ventures.
Founded by Flavio Esposito and Alessandro Sangiorgi, Spaghetti Code Labs incubates ventures born from research. WeeNet went from a university lab to five million phones. COAT went from an EU–US research grant to a working AI privacy product. Same pipeline both times: validate, build, fund, launch.
Engineer the MVP
Our founders have shipped mobile apps to millions. Every venture is engineered in-house — mobile-first, fast, and shaped by real user research, like the 50+ user studies behind COAT's interface.
Win the grants
Non-dilutive first. We've won and delivered an EU Horizon Europe grant and know the university, innovation-hub, and EU–US funding circuits on both sides of the Atlantic.
Ship it to the world
Store launches, open-source releases, demo videos, outreach. The WeeNet launch passed five million downloads; COAT's campaign reached 39K+ impressions across three platforms.
$ ./run stats
5M+
WeeNet downloads since launch
269
privacy policies annotated & released
83%
validation accuracy, fine-tuned LLM
€100K
non-dilutive EU grant won for COAT
2
ventures incubated & launched
39K+
impressions across COAT outreach
/* portfolio */
The portfolio.
Every venture here began as a research question and left as a product people use. One philosophy throughout: take something opaque — radio waves, legal prose — and make it legible.
Venture 01
Android · Free
Network security
WeeNet
Your network, finally explained.
WeeNet is a complete network toolkit for everyday users — more than five million of them. It answers the questions your router won't: who's on my Wi-Fi? Why is it slow? Is it actually secure? Launched in fall 2023, it's the first venture shipped out of the Spaghetti Code Labs incubator.
- Wireless scanner with smart filters
- Channel-occupancy graphs
- Every device on your LAN — hostname, MAC, IP
- Download & upload speed tests
- Wake-on-LAN, ping, traceroute, port scan
- WHOIS & DNS lookups
- Custom subnet & VPN host scanning
- Access-point security & interference diagnosis
Venture 02
Privacy AI
EU Horizon Europe
COAT
Terms of service, translated to human.
More than 90% of people accept online agreements without ever reading them — consent on paper, but not in practice. COAT (Comprehensive Online Agreement Transparency) is our answer: an AI layer that reads any privacy policy or terms of service and hands back a privacy score, a plain-language summary, and alerts on clauses that touch your rights. In seconds, on your phone.
Under the hood, a fine-tuned LLM (Qwen3-30B-A3B, 83% validation accuracy) is paired with multi-criteria decision making to produce explainable, auditable scores across data collection, user control, third-party sharing, retention, and security — trained on our open dataset of 269 annotated policies.
COAT began as an EU–US research project led by our two founders — through Sangiorgi SRL (Italy) and Saint Louis University (USA) — funded by the European Union under the Horizon Europe programme, grant agreement No 101092887. Today it continues as a Spaghetti Code Labs portfolio venture.
/* research & open source */
Lab output.
Everything we publish is yours to use — datasets, weights, scripts, and the papers behind them.
coat-dataset
269 privacy policies, annotated and benchmarked across multiple LLMs
GitHub ↗
fine-tuned models
LoRA adapters, safetensors & GGUF builds, plus the training notebooks
Hugging Face ↗
weenet walkthrough
Video demo of the full network toolkit, feature by feature
YouTube ↗
coat architecture & PoC
System architecture, technical specs, and the end-to-end proof-of-concept demo
Project site ↗
/* founders */
Two people. Two continents. One lab.
Flavio Esposito, Ph.D.
Co-founder · Associate Professor of Computer Science,
Saint Louis University
Flavio leads the research side of the lab at SLU, where his group works on network systems and security. He co-led COAT's US side and believes apps are the fastest road from a paper to the public — test, polish, and improve while real people already use it.
"It's a fun way to bring research to life."
Alessandro Sangiorgi
Co-founder · Founder, Sangiorgi SRL (Italy) ·
M.S. CS, Saint Louis University
Alessandro is the builder: founder of Sangiorgi SRL — Italy's #2 app publisher on Google Play, with 170M+ downloads — the engineer behind WeeNet and the COAT app, and the lead of COAT's EU side. He bridges the lab in St. Louis and the company in Italy.
"It will show you how to make your Wi-Fi more secure."
contact.alessandrosangiorgi.net ↗// flavio & alessandro first met in 2018 over a master's thesis. five years later: one incubator, two continents, five million users.
This is why I get up in the morning.— Flavio Esposito, co-founder, on building apps with his students
$ whois --contact
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