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Saved February 14, 2026
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This article details the development of MTCHMKR, a SaaS tool designed to facilitate brand partnerships through a streamlined matchmaking process. The author shares insights on design, user feedback, and the role of AI in creating a consumer-grade product.
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The article outlines the development of MTCHMKR, a software-as-a-service (SaaS) product aimed at facilitating brand partnerships. It originated from observations made by Melanie and Wendy, who run a brand partnerships agency, about the fragmented nature of communication on Slack among brands seeking partnerships. The authors identified a clear market need and defined the product's core value proposition early on, focusing on creating a streamlined matchmaking platform for brands.
The author, a product designer, leveraged tools like Lovable for rapid development. Initial builds resembled wireframes, allowing for quick iterations and feedback. The branding process aimed for a human-centric feel, drawing inspiration from retro designs to reflect the productβs goal of fostering genuine connections. User experience was prioritized, with features enabling easy account creation, browsing of brands, and initiating conversations through a simple chat interface. AI plays a role in enhancing user profiles and facilitating intelligent matchmaking.
Feedback mechanisms are integral to the product, allowing users to share their thoughts directly through the interface. The team is actively using this feedback to iterate and improve the product. Launching the platform presented challenges typical of paid communities, particularly the cold start problem. To address this, they leveraged social media to build a waitlist and began onboarding users at a low subscription cost to test the product and refine their offering. The approach emphasizes learning and adapting to ensure the product meets market needs effectively.
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