The Evolution of AI-First Products and the Power of Curated Content: A Look into AI Grant and Matter

Kazuki Nakayashiki

Hatched by Kazuki Nakayashiki

Sep 15, 2023

3 min read

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The Evolution of AI-First Products and the Power of Curated Content: A Look into AI Grant and Matter

Introduction:
In today's rapidly advancing technological landscape, AI-first products have emerged as a transformative force. Entrepreneurs who understand the capabilities of AI models and have a deep understanding of user needs are at the forefront of this revolution. This article explores two distinct yet interconnected concepts: AI Grant, a program aimed at supporting entrepreneurs building AI-first products, and Matter, a platform designed to revolutionize content consumption and discovery through curated recommendations.

AI Grant: Fostering Innovation in AI-First Products
The AI Grant program, initiated by Nat and Daniel, seeks to raise the status of building AI-first products. While research is vital, the program emphasizes the importance of creating products that users love on new platforms. This requires unparalleled levels of creativity and ingenuity, surpassing the significance of merely raising funds and scaling up training clusters. The program aims to support technical and pragmatic founders who aspire to build exceptional AI products. The focus is on leveraging AI models in useful and engaging ways, thereby driving UX innovation.

Matter: Revolutionizing Content Consumption and Discovery
The concept of Matter was born out of conversations between Ben Springwater and Robert Mackenzie during their time at Nextdoor. Their frustration with the limitations of current content consumption and discovery apps led them to create a platform that prioritizes the "who" over the "where." Unlike previous platforms centered around RSS feeds, Matter aims to enhance visibility for indie authors and improve content curation.

The Power of Curated Recommendations
One of Matter's key features is its network of readers who curate content and provide social context around their recommendations. The platform recognizes the significance of trust in recommendations to enhance content filters and information diets. With an abundance of content available, users save more than they can consume. Matter's highly-curated recommendation feed resonated strongly with power readers, who actively engage in the world of ideas and have an affinity for specific themes and interests.

Building a Community of Early Adopters
To attract early adopters, Matter collaborated with leaders from online communities such as the Interintellect, Progress Studies, and The Long Now Foundation. These communities served as ideal testing grounds for Matter's features, allowing members to have early access to valuable content and actively shape the product's design.

The Evolution of Content Consumption
Matter's unique approach to content consumption focuses on following authors across the web rather than specific publications. This shift in perspective enables users to tap into the insights and interests of individuals they admire. Quality assessment poses a challenge, but elements such as insights, information density, and the reputation of the author can serve as proxies for determining high-quality content.

Actionable Advice:

  1. Embrace AI-first product development: Entrepreneurs should recognize the immense potential of AI models and prioritize building products that leverage these capabilities from the outset. Understanding user needs and delivering exceptional user experiences are key to success in this domain.
  2. Foster trust and community engagement: Building a community of engaged users who trust and value recommendations is crucial for content platforms. Curated recommendations provide an opportunity to surface insightful content from obscure sources, challenging users' worldviews and expanding their horizons.
  3. Prioritize the "who" over the "where": Content consumption platforms should emphasize the importance of following individuals rather than specific publications. This approach enables users to tap into the interests and insights of authors they admire, facilitating a more personalized and enriching content experience.

Conclusion:
The emergence of AI-first products and the evolution of content consumption platforms like Matter highlight the transformative power of technology in our lives. By supporting entrepreneurs and fostering community engagement, these initiatives aim to redefine the way we interact with AI and consume content. As the AI landscape continues to evolve, embracing innovation and prioritizing user-centric experiences will be crucial in shaping the future of technology and content discovery.

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