The company story
Ganttsy is an AI-powered personal project coach. The ambition is practical: help people finish renovations, side businesses, and creative work — with intelligence as the foundation of the product, not a bolted-on feature.
Shipped AI product
0 → 1
Stage
0 → 1
Role
CTO / shareholder
Focus
Completion
Ganttsy — impact snapshot
The pressure
What was on the line
Finishing hard projects is where most tools go quiet. The product needed adaptive coaching that stays useful over weeks and months — and a technical and commercial foundation that could go from concept through Series A preparation without a bloated org chart.
What changed
The arc of the work
- 01
Build AI-first, not feature-first
Architecture treated intelligence as the core product surface: personalized coaching that adapts over time, aimed at completion rather than novelty.
- 02
Lead the 0→1 path
As CTO and shareholder: technical architecture, product direction, and the lean fractional team model — every dollar pointed at product.
- 03
Prepare the company to scale
Concept through Series A preparation — including financial modeling and unit economics alongside the multi-agent technical direction.
Product in the wild
Ganttsy — real output
Product UI — Master Board across the year, with projects and next tasks. Greyscale to match this site’s palette.
Before and after
What people could feel in the week
Ambition without a coaching system that sticks
→Adaptive AI coaching aimed at real completion
Concept without technical and commercial spine
→Architecture + unit economics for the next stage
Where they are now
The outcome that stuck
A shipped AI company in the portfolio — built end to end with the founding team, with a clear path from working product toward the next stage of growth.
For technical readers
How it was built
AI-first architecture on a modern AI/ML stack: Python, Next.js, TypeScript, LangGraph-oriented multi-agent direction for personalized project coaching.
Python · Next.js · TypeScript · LangGraph · Multi-agent AI
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