Indie hacker

Kadir Yılmaz • Peerlist

• Contributed to a data analysis SaaS. • Responsible for UI changes, bug fixing, and feature improvements. • Ensured consistent, user-friendly interfaces and smooth workflows.

Andre (Next.js)

• Created an AI-powered food checker for health condition–based recommendations. • Integrated ChatGPT to analyze meals and provide personalized results. • Developed with Next.js front-end and Express.js back-end API.

CheckThe.Food (Next.js, Express.js, OpenAI AP

• Developed a feedback management system for developers and product managers. • Implemented structured reporting for bugs and customer feedback. • Built full-stack with Next.js, Express.js, and MongoDB.

Hepl (Next.js, Express.js, MongoDB)

• Designed and developed a corporate website with more than 10 pages. • Delivered a responsive and visually consistent front-end. • Ensured SEO-friendly and high-performance implementation with Next.js.

Innovationatelier (Next.js)

• Full-stack app managing onboarding/offboarding/order with ~7 role-based workflows. • Added employee order management features for resources and equipment. • Developed with React front-end and Express.js + MongoDB back-end.

Onboarding App (React, Express.js, MongoDB)

• Developed a corporate banking website using Next.js. • Focused on responsive design and performance optimization. • Delivered a professional interface aligned with client requirements.

QR Riyal (Next.js)

• Developed a CRM system for surveyors to input door-to-door statistics. • Worked collaboratively with the team on a large-scale, complex project. • Focused on building scalable and maintainable Angular components.

Sales Sense (Angular, CRM)

Maintenance and development of the new features

Toprak Rehberi

• Built a laundry management platform using Next.js. • Applied clean architecture, functional programming, and multi-language support. • Delivered a modular, efficient, and globally accessible application.

WorkWear360 (Next.js)

QuickStaging turns listing photos into finished marketing assets. Upload an empty room and it comes back furnished in about 30 seconds, at 2K or 4K, in any of 16 styles. The same upload can also get a blue sky, a dusk exterior, a decluttered living room, removed objects, greener grass, or a general light and colour cleanup.What makes it usable on a real MLS listing is what happens after the render. Every shared or exported image carries an AI disclosure label and a link back to the untouched original, which is what California AB 723 asks for, and which keeps the image clear of NAR Code of Ethics 12-10 on misleading images. You never have to remember to add it.Around the images there is listing description generation, a flyer maker, an open house sign-in sheet, and social posts, so one shoot produces the whole package.Pricing is credits. One credit per image, from $0.44. Credits never expire and no subscription is required. New accounts get 3 free credits, no card.

QuickStaging

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TestimonialEasy

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