AI-powered insights platform that transforms complex data into actionable business intelligence. Built for fast-moving teams who need clarity, not more dashboards.
50K+
Insights generated
500+
Active users
$2.5M
Seed funding
What I Built
- Complete design system from zero to Series A
- AI interaction patterns that feel human
- Data visualization for non-technical users
- Product strategy and user research program
Tech Stack
React, TypeScript, Node.js, PostgreSQL, OpenAI API, Vercel
Key Challenges Solved
- Made AI outputs interpretable for business users
- Built trust through transparency in AI decision-making
- Scaled design system across 15+ engineers
- Achieved 90%+ user retention with intuitive UX
Decentralized SaaS platform that helps freelancers value themselves in the market, set competitive rates, and track earnings. Empowering independent professionals with data-driven insights.
3,000+
Signups in beta
40%
Average rate increase
Web3
Decentralized platform
What I Built
- Full-stack web application from idea to acquisition
- Rate recommendation algorithm based on market data
- Community features for knowledge sharing
- Payment processing and subscription management
Tech Stack
Vue.js, Python, Django, PostgreSQL, Stripe, AWS
Business Impact
- 3,000+ signups in beta phase
- Featured in Forbes, TechCrunch, Hacker News
- Built entirely bootstrapped with zero external funding
- Creating sustainable income opportunities for freelancers globally
Free, browser-based card sorting tool built for UX researchers to validate information architectures quickly and at scale.
1,000+
Research sessions run
Hundreds
UX teams globally
Always free
Open access
What I Built
- Simple, lightweight web app for open, closed, and hybrid card sorting
- Instant share links for team collaboration
- Export to CSV and analytics dashboard
- Scalable architecture to support large studies
Tech Stack
Next.js, Supabase, Vercel, TailwindCSS
Business Impact
- Lowered entry barriers for UX teams to run card sorts
- Became a trusted tool among researchers for quick, no-friction validation
- Positioned as a funnel to build community and credibility in the UX research space
AI-powered recruiting tool that screens candidates automatically through WhatsApp-based chat interviews, saving recruiters hours per role while ensuring structured and unbiased evaluations.
200+
Candidates screened in pilot
70%
Cut recruiter screening time
Improved
Consistency in evaluation
What I Built
- AI interviewer capable of dynamic, role-specific questions
- WhatsApp integration for frictionless candidate onboarding
- Automated structured feedback reports for recruiters
- Candidate scoring algorithm based on conversation performance
Tech Stack
Node.js, OpenAI API, WhatsApp Business API, Supabase
Business Impact
- Reduced recruiter workload and time-to-shortlist
- Provided fairer, more consistent candidate screening
- Opened up new models for scalable, automated hiring