The hottest Substack posts of Shravan’s News Letter

And their main takeaways
58 implied HN points 19 Dec 23
  1. Azure could be the key player in AI applications like AWS in 2024.
  2. The future of application stacks involves AI-native infrastructures and development.
  3. Business Intelligence remains crucial for comprehensive data analysis and decision-making.
78 implied HN points 20 Sep 23
  1. Scale economies in AI involve making large upfront investments to drive costs down as user bases grow.
  2. Network economies in AI focus on building valuable networks that benefit from each additional user.
  3. Counter-positioning in AI means using innovative business models that larger companies might find unprofitable.
78 implied HN points 23 Aug 23
  1. The value generated by AI may go mostly to end consumers.
  2. Competitive destruction from AI can reduce long-term pricing power and differentiation.
  3. To succeed, companies need to focus on distribution, specific markets, and selling infrastructure.
39 implied HN points 02 Nov 23
  1. AI is reshaping product design workflows like user research, design exploration, handoff from design to engineering, and the role of data.
  2. Companies are investing in AI tools to automate tasks, improve collaboration, and generate valuable insights in the design process.
  3. Future trends suggest more multidisciplinary roles, streamlined handoffs, improved prototypes, and easier access to quality user data in product design.
1 HN point 17 Jul 23
  1. Hiring PMs takes longer than you assume! Start the process 3-6 months in advance.
  2. Different stages require different PM skill sets. Match passion and skills to the phase.
  3. Help employees grow with the company, even if their roles change. Value their contributions.
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0 implied HN points 01 Aug 23
  1. Start by connecting the dots to your North Star, which is a description of your customer's ideal experience
  2. Boulders can help bridge the gap between no planning and formal annual planning
  3. When starting annual planning, start from the top down before layering in bottoms-up plans
0 implied HN points 17 Jul 23
  1. Summit releases addressed company risks on AI/ML workloads.
  2. Unified Iceberg Tables tackled genuine risks for Snowflake model.
  3. Importance of Snowflake's investment in interoperability through Iceberg.