Systems I built, co-built, or led. With receipts.
Six case studies across SaaS, AI, automation, and healthcare. Every claim carries an evidence label so you can tell what is independently verified, what you can inspect yourself, and what is self-reported. Written by Tyron Dizon.
SanityDesk: SaaS Growth Platform (Techstars LA 2021)
Co-founded an all-in-one growth platform for small businesses and owned product from first prototype to paid platform. The company is no longer operating.
Healthcare EHR-to-CRM Data Bridge
Automated bridge out of a locked-down EHR with no API: authenticated session through bot protection, per-patient matching, safety-gated CRM sync for a US behavioral-health practice.
AI-Visibility Measurement Engine
A measurement harness that runs fixed buyer questions against ChatGPT, Perplexity, and Gemini and tracks whether a brand actually gets cited, turning AEO/GEO from opinion into a baseline and trend.
StoryPages and StoryFunnels: Product Leadership
CPO for two marketing-technology SaaS products. I own the strategy, roadmap and specifications across the site builder, CRM, email, funnels, content distribution and AI visibility, and I drove the federated white-label integration that merged them.
How to read the evidence labels
- Independently verified Confirmed by a source I do not control (accelerator announcement, independent press, public records). Linked directly.
- Public demo You can inspect the running system yourself right now.
- Public source A public page supports the claim (press release, company profile).
- Self-reported metric Accurate to my records, but no public source exists yet. Treat accordingly and ask me for detail on a call.
- Confidential / anonymized Real client work under confidentiality. Names withheld; mechanics and results described honestly. Verifiable references available on request.