Rafal Kochanowski
Providing independent technical assessments and engineering advisory for high-stakes decisions, acquisitions, and technical risk management.
At a Glance
- Companies preparing for funding rounds
- Investors conducting technical due diligence
- Teams dealing with complex legacy systems
- Businesses building AI-native products
AI Tools by Rafal Kochanowski
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slopo
Semantic Code Duplication Detector
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Latest News
Released Slopo 0.3.0, an embedding-based code duplication detector
Launched Hiker, an AI-powered weather research app
Released Log Mill, an open-source log analyzer
Published analysis on code duplication changes across open-source codebases
Products & Services
Independent technical review for high-stakes decisions, acquisitions, or post-mortems.
Open-source CLI tool for detecting non-exact code duplication using embedding models.
AI weather research application.
Legal AI application focused on EU regulations.
Market Position
Offers direct access to a senior engineer's judgment without agency overhead or junior staff, focusing on system-level analysis rather than just code review.
Leadership
Founders
Rafal Kochanowski
IT professional since 2007. Founded first IT company in Poland. Experience includes product startups (HappyForks), B2B SaaS (Series A), and enterprise systems. Master of IT Engineering.
Executive Team
Rafal Kochanowski
Solo Engineer & Owner
Extensive experience in software engineering, architecture, risk analysis, and AI-assisted workflows.
Founding Story
Rafal started with computers in childhood and founded his first IT company in Poland in 2007. After building his own startup (HappyForks) and working in various SaaS and enterprise roles, he transitioned to a solo technical assessment service based in Austria.
Business Model
Revenue Model
Service-based fees (fixed-price assessments and hourly rates for engineering/advisory work).
Pricing Tiers
Based on roughly a week of dedicated full-time work.
Lower end for hands-on engineering, upper end for strategic/advisory work.
Target Markets
- Companies preparing for funding rounds
- Investors conducting technical due diligence
- Teams dealing with complex legacy systems
- Businesses building AI-native products
- Technical review before high-stakes decisions
- Due diligence before company acquisition
- Preparation for investor technical due diligence
- Investigation of recurring system failures
- Review of applications built with AI coding tools