In navigating my ethnographic fieldwork among tech entrepreneurs, establishing sustained connections proved challenging due to the dynamic and fragmented nature of the industry. Rather than focusing on single entities within this volatile landscape, I adopted a multisited approach spanning various nodes like university innovation hubs, venture capital firms, and coworking spaces. This method, akin to "scavenging" as described by Nick Seaver, involved piecing together insights across diverse settings and networks. Drawing inspiration from participatory research methodologies, I developed Ethno.Space, a bespoke qualitative analysis tool tailored for collaborative use. This platform, initially intended as a data repository, evolved into a participatory framework where stakeholders engaged directly with data analysis. This approach, termed participatory analysis, aimed to democratize the research process by granting participants access to interpret and contribute insights. The methodology not only reshaped data analysis dynamics but also prompted reflections on ethical considerations and participant engagement strategies. The resulting "Participatory Analysis Kit" encapsulates guidelines for integrating such methodologies into research projects, emphasizing tailored software selection, data management strategies, and ethical safeguards. This kit supports researchers in navigating the complexities of collaborative ethnography within fluid sociocultural contexts, ensuring meaningful and ethical engagement throughout the research process.