Yandex Market Launches Raskat, a New Urban Bicycle Brand

Yandex Market has unveiled Raskat, its own brand of city bicycles, featuring lightweight, durable designs with aircraft-grade aluminum frames, aimed at enhancing urban mobility.

Yandex Market has unveiled Raskat, its own brand of city bicycles, featuring lightweight, durable designs with aircraft-grade aluminum frames, aimed at enhancing urban mobility.

Yandex Market has introduced Raskat, a new bicycle brand tailored specifically for city dwellers. These bikes, which range in weight from 14 to 16 kilograms, are designed to be both durable and lightweight, catering to adults and teenagers over 155 cm in height. This launch marks Yandex Market’s latest venture into branded products, following its introduction of household goods, computer equipment, headphones, and clothing under various proprietary brands.

Raskat bicycles are constructed with aircraft-grade aluminum frames and are equipped with 10-speed gear systems, which a Yandex Market study among cyclists determined to be sufficient for urban commuting. A distinctive feature of these bicycles is their sleek design, with brake cables and transmission components neatly concealed within the frame, enhancing both aesthetics and functionality.

The bicycles are available in four sizes to accommodate different riders and come in eight color options, ranging from bright and glossy to muted and matte finishes. This variety ensures that there is a Raskat bicycle to suit different personal styles and preferences.

Looking ahead, Yandex Market plans to expand the Raskat line further by introducing a range of accessories and other urban mobility solutions. This expansion is part of Yandex Market’s broader strategy to diversify its offerings and strengthen its presence in the lifestyle and utility products market.

This initiative reflects Yandex Market’s commitment to innovating and enriching the consumer experience, following its recent launches of the Pragma brand of household goods, Lunnen computer equipment, Commo full-size headphones, and its clothing brands Tame, Muted, and Humanform.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.