Ciqler Experience
Describe and discover the perfect gift
Executions
UX/UI Design
Designed full UX/UI workflows in Figma.
Full-Stack Development
Built frontend (React/Tailwind) + backend contributions (Node.js).
Data Engineering
Developed Python scrapers for e-commerce data standardization.
Project Management
Assited in Managing backlog in Azure DevOps.
Branding & Marketing
Produced branding, investor decks, and marketing assets.
Key Wins
User Research & Validation
Interviewed dozens of users across regions. Iterated rapidly on problem definition, gifting flows, and user journeys, ensured real pain points were addressed.
User Research & Validation
Interviewed dozens of users across regions. Iterated rapidly on problem definition, gifting flows, and user journeys, ensured real pain points were addressed.
Funding & Infrastructure
Demonstrated ability to attract funding support, with aims of securing a second AWS credits and funding to extend runway.
Funding & Infrastructure
Demonstrated ability to attract funding support, with aims of securing a second AWS credits and funding to extend runway.
Investor Relations
Strengthened potential investor relationships, initiated early conversations with angels and VCs across KSA opening doors for future fundraising.
Investor Relations
Strengthened potential investor relationships, initiated early conversations with angels and VCs across KSA opening doors for future fundraising.
Founder-Market Fit
Built proof of founder-market fit, leveraged personal pain points and market insights to establish credibility with users and investors.
Founder-Market Fit
Built proof of founder-market fit, leveraged personal pain points and market insights to establish credibility with users and investors.
Multi-Disciplinary Execution
Balanced branding, and tech execution → wore multiple founder hats while keeping execution on track.
Multi-Disciplinary Execution
Balanced branding, and tech execution → wore multiple founder hats while keeping execution on track.
Challenges & Lessons
Timing beats perfection
Learned to prioritize adoption cycles over "feature-complete" launches.
Storytelling drives adoption & capital
Learned how much investors and users respond to a clear, human narrative behind the product.
Automation is leverage
Small tools (scrapers) create outsized efficiency.
Cash discipline is survival
Understing how every dollar (or AWS credit) must be maximized, especially when bootstrapping in early stages, is key.
Vision needs relentless iteration
No roadmap survives contact with users, constant pivoting and micro-adjustments are founder reality.
AI as an edge, not just hype
AI personalization wasn't enough — real value came from training models on unique gifting datasets, creating a data moat.
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