Marketplace and Steam Cloud
Last updated
Last updated
As an accessory product line, the mall has a closed-loop effect on the platform. Take the video transcription software product developed by memo.ac as an example. Its developers have developed top-level products on the current market. The developers have the ability to develop high-quality products. But it lacks the ability to discover and sell products. Relying on the sales network established by Crypto, the mall can serve as a third-party sales platform, cooperating with such outstanding developers to provide them with a full range of services such as user discovery, sales, and product usage education, earning profit sharing from the sales side, and capturing value for the platform
Taking memo.ac as an example, its product is not suitable for creating Agents on the Agent Store. Users need to download the software to their local device. In terms of user experience, when transcribing a 1-hour video, if your device is a Mac M1 chip, The entire production experience takes 10 minutes+. There is a computing demand for cloud acceleration. We built Steam Cloud by aggregating enterprise-level GPT providers to provide acceleration services for users of this product. In the test environment, a one-hour video can be accelerated by 50%+, doubling the entire production efficiency. promote. The platform also captures sustainable value in Steam Cloud services. At the same time, when developers integrate acceleration services, they only need to add the SDK we provide to the backend.
The Ai device market is currently breaking through a critical point. Take the revolutionary experience brought by Vision Pro as an example. This kind of addiction is like the viewing frame rate jumping directly from 480P to 4K. Once you experience it, you cannot bear to downgrade. User consumption demand is strong and device standards are quietly leaping from the Internet of Everything to the Intelligent Internet of Everything. We believe that all current Wi-Fi level smart product equipment will face being replaced by LLM-level smart product equipment. We work with third parties on the mall side to help them provide discovery, sales and cloud computing services. In terms of software services, we build a small-scale open source LLM hosting service to provide developers with API access to help them realize device intelligence. The platform captures value from LLM Token consumption. This application scenario is also applicable to Depin devices