PropertyAngel

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.

Shoppin’ is the fastest way to go from inspiration to checkout.

Discover fashion through an endless, AI-powered feed tailored entirely to your personal style — think the ease of scrolling on social platforms, but with everything instantly shoppable. Shoppin’ learns what you love and brings the right looks to you, even before you search.

See something you like anywhere else? Just paste a link, upload a screenshot, or describe the vibe. shoppin’ finds the exact products — across every brand and retailer — in one place.

What sets shoppin’ apart is intelligent discovery. From vibe-based searches like “barbiecore dress” or “old money polo” to universal search across TikTok, Instagram, and Pinterest, shopping finally works the way you think. With virtual try-ons, real-time price comparisons, and social wardrobes to shop with friends or save looks for later, shoppin’ removes every friction from fashion discovery.

No more screenshots.

No more lost products.

No more “where’s that from?”

With access to 250,000+ brands and 100M+ products, shoppin’ turns inspiration into action — instantly

Fashion discovery, done right.

At Hunarstreet Technologies Pvt Ltd, we specialize in delivering India’s fastest hiring solutions, tailored to meet the unique needs of businesses across various industries. Our mission is to connect companies with exceptional talent, enabling them to achieve their growth and operational goals swiftly and efficiently.

We are able to achieve a success rate of 87% in relevancy of candidates to the job position and 62% success rate in closing positions shared with us.