DAIM emerged as a hackathon project, driven by a mission to combat the centralization of AI and data. In a landscape dominated by a select few corporations, DAIM aimed to empower independent developers by offering a platform that allowed them to monetize their innovations while preserving privacy. Our vision for DAIM was to establish a decentralized ecosystem, uniting AI Service Publishers, Data or Model Contributors, and AI Service Consumers for mutual benefit. During the hackathon, DAIM enabled AI Service Publishers to submit datasets and models, which could be offered in private or public modes, sparking discussions in threads addressing specific problem statements. A unique feature was that with each consumer purchase, the value and price of datasets and models increased, benefiting creators and consumers alike. Contributors, in the form of threads, worked to enhance existing AI services, competing with original publishers and fellow contributors, with a validation process ensuring top-notch quality. Consumers accessed a dynamic marketplace of AI services and data offerings, confident in their privacy protection through secure computation methods. Every interaction within the hackathon project contributed to the growth and value of the datasets and models available. DAIM, as a hackathon initiative, embodied the potential to decentralize control, empower creators, and prioritize privacy in the realm of artificial intelligence, representing the future of AI and data accessibility.