The hottest Product Management Substack posts right now

And their main takeaways
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Insights from the Research Community: Plans for 2024 and Strategies for Implementation

Askwhy: UX Research, Product Management, Design & Careers • 33 implied HN points • 27 Feb 24
💼 Business Product Management
  1. Avoid unnecessary research by understanding when it's not appropriate, like for problem-solving issues instead of validation.
  2. Prevent overcommitting by scoping projects well, building in time buffers, and looking at historical data to manage workload effectively.
  3. Enhance visibility for your UX research work by selecting the right method for your audience, sharing updates in product meetings, and knowing your stakeholders.

Wrath of the AI-Zilla

SAURABH SAHA • 11 implied HN points • 04 Feb 25
🕹 Technology Product Management
  1. Many people feel confused and scared about AI, especially since its rapid growth began in 2022. Some workers worry their jobs might become obsolete due to new technologies.
  2. Only a small percentage of people truly understand AI and how to build its applications. Most people just use AI tools without knowing how they work under the hood.
  3. As AI continues to advance, it could create a divide between those who know how to work with it and those who don't, leading to fewer job opportunities for many and greater wealth for a select few.

From Rockets to Roadmaps: An Engineer's Guide to Product Success

Dev Interrupted • 14 implied HN points • 03 Dec 24
🕹 Technology Product Management
  1. Engineers can drive product vision, leading to faster and more innovative development. This shifts the focus from just coding to solving real business problems.
  2. With AI making coding easier, engineers who understand customer needs and market trends will stand out. Their blend of technical skills and business savvy is crucial for success.
  3. Collaboration and teamwork are key in software development. It's not just about individual contributions but how teams work together to create better solutions.

Five tenets of product engineering

Russell’s Index • 4 implied HN points • 18 Jul 25
💼 Business Product Management
  1. Talking to customers is key to understanding their needs and wants. It helps create better products.
  2. Focus on solving the problem rather than jumping straight to solutions. This leads to more effective outcomes.
  3. Aim for big ideas, but start with small steps. This way, you can adjust as needed and grow your project effectively.
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🌟 Your Ultimate AI Guide for Product Managers: 10-Part Series

The Product Channel By Sid Saladi • 16 implied HN points • 20 Oct 24
💼 Business Product Management
  1. This guide introduces essential AI concepts useful for product managers. Understanding AI can help managers make better product decisions.
  2. It covers the basics of using large language models, which are important tools in AI. Learning to use these models can improve product development.
  3. The guide emphasizes the role of ethics in AI product management. Responsible use of AI is crucial for building trust and ensuring success.

Diya Jolly (Incoming CPO at Xero, ex-Okta)

The Takeoff • 19 implied HN points • 20 Mar 23
💼 Business Product Management
  1. Lagging indicators for product success include revenue, mid-level indicators involve usage metrics, and early indicators consist of feedback from target customers.
  2. Building a strong product culture involves deep customer empathy, a focus on business growth, a drive for learning, and a collaborative team culture.
  3. Success in product management is measured by revenue generation, usage metrics, and meeting target customer needs through strategic decision-making.

Scrum's "Product Owner" Problem

Rethinking Software • 14 HN points • 03 Oct 24
🕹 Technology Product Management
  1. Product Owners should provide information, not direct decisions. Engineers need real-time data to make informed choices, rather than just waiting for orders.
  2. Engineering teams should ask deeper questions to understand their customers and competitors better. This helps them create better solutions instead of just following a checklist.
  3. The relationship between Product Owners and Engineers should resemble a restaurant. Product Owners gather customer insights while Engineers create the dishes, allowing for better quality and innovation.

E6 - 🏰 Building a Moat for Your AI Startup 🏰

The Product Channel By Sid Saladi • 10 implied HN points • 15 Dec 24
💼 Business Product Management
  1. Building a competitive 'moat' is crucial for AI startups to protect themselves from competitors. It means having unique advantages that others can't easily copy.
  2. Startups should focus on specific industries or problems to create tailored solutions. This helps them collect valuable data and improve their models over time.
  3. Using proprietary data and building complex systems can strengthen a startup's position. It’s about going beyond just using popular AI tools and making something unique.

A Letter to Devs: What to Expect from Product Managers

Odai’s Substack • 3 HN points • 12 Feb 24
🕹 Technology Product Management
  1. Product Managers need to excel in figuring out the next most valuable thing to build and bring clarity to the dev team.
  2. Product Management involves a structured 'discovery' process with stages like framing, observation, synthesis, strategy, and prototyping.
  3. Product Managers should show the value proposition of what is being built, provide clear direction during development, and measure outcomes to ensure usefulness.

Thoughts From Inside the Intensity Machine

•ꪜꫀᥴꪻꪮ᥅ꫝꫀꪖ᥅ꪻ• • 2 HN points • 24 Mar 24
🕹 Technology Product Management
  1. The tech industry has shifted towards perpetuating its generative model over genuine innovation, leading to a mechanization of value generation.
  2. Revolutionary technological change requires higher flexibility, interdisciplinary collaboration, and reflexivity in research and product development, contrasting with the current 'move fast and break things' culture.
  3. Human agency involves deliberately changing conditions to create new problems, embracing novelty and deliberate decision-making to shape collective imaginary and make a positive impact.

Week 75 - E3 - 🛠️ Prompt Engineering Basics and 50+ Free 🎁 Product Management Prompts 🚀

The Product Channel By Sid Saladi • 23 implied HN points • 21 Jan 24
🕹 Technology Product Management
  1. Prompt engineering is crafting effective natural language prompts to get desired outputs from AI.
  2. Prompt engineering is crucial for product managers to unlock AI potential in workflows and decision-making.
  3. Well-structured prompts include clear instructions, context, format, and tone, enhancing coherency and relevance.

Non-technical API Design Should Be Possible

The API Changelog • 9 implied HN points • 15 Nov 24
🕹 Technology Product Management
  1. API design doesn't have to be technical. Non-technical people can focus on understanding what users need and planning the API without coding.
  2. Involving non-technical individuals early in API design can help identify user challenges and improve API functionality, making them more aligned with user needs.
  3. With the right tools, like Flotiq, non-technical people can create and test APIs easily, allowing for immediate feedback before handing off to developers for more complex tasks.

5 Steps to Take Back Power in Your Career

Perspectives • 8 implied HN points • 12 Dec 24
💼 Business Product Management
  1. Don't wait for the perfect job. Instead, focus on making the most of the position you have and use it to build skills and connections.
  2. Follow your interests and share what you learn. You don’t have to be an expert to teach others; sharing your journey can resonate more with people.
  3. Be consistent in showing up and sharing your thoughts. Building your personal brand is about being true to yourself and expressing your values regularly.

Week 27 - 📈 📊 How to Develop and Write KPIs: A Guide for Product Managers 📋

The Product Channel By Sid Saladi • 40 implied HN points • 19 Feb 23
💼 Business Product Management
  1. KPIs and metrics help product managers track product performance and areas for improvement.
  2. Developing effective KPIs involves aligning them with business objectives and defining specific metrics.
  3. Choosing the right KPIs and metrics is crucial for measuring progress, making data-driven decisions, and communicating with stakeholders.

Designers who PM

Anant’s Newsletter • 6 implied HN points • 18 Feb 25
💼 Business Product Management
  1. Hiring a designer who can also manage products can save engineering teams time and resources. They help avoid building the wrong features right from the start.
  2. A designer with product management skills can make design decisions quickly. This keeps projects moving forward and prevents delays in the engineering process.
  3. Having a designer who understands both design and product management helps create a more cohesive product. They can connect different parts of the product and ensure everything aligns properly.

Week 78 - E6 - 🏰 Building a Moat for Your AI Startup 🏰

The Product Channel By Sid Saladi • 20 implied HN points • 11 Feb 24
🕹 Technology Product Management
  1. Building a competitive moat in AI involves strategic navigation of the generative AI value chain to create unique advantages.
  2. For AI startups, it's crucial to focus on acquiring proprietary data, integrating AI into comprehensive workflows, and specializing models through incremental training techniques.
  3. Companies like Anthropic, Landing AI, and Stability AI showcase effective moat-building strategies in AI by emphasizing ethical development, democratizing technology, and niche specialization.

6 Dynamic Ways ChatGPT Revolutionizes Product Management 🚀 and 50+ Product management prompts

The Product Channel By Sid Saladi • 37 implied HN points • 26 Mar 23
🕹 Technology Product Management
  1. ChatGPT helps product managers streamline tasks, focus on strategy, and deliver innovative solutions.
  2. ChatGPT provides product managers with AI-generated insights to enhance decision-making.
  3. Integration of ChatGPT in product development process leads to creating innovative solutions and enhanced user experiences.

Open Source Meets AI | Red Hat's Scott McCarty

Dev Interrupted • 9 implied HN points • 05 Nov 24
🕹 Technology Product Management
  1. Open source AI has the potential to change how enterprises manage software development. This could lead to better trust and benefits for everyone involved.
  2. Startups are advised to be careful about taking too much funding. High valuations can create unrealistic growth expectations, which might hurt the company in the long run.
  3. Tools like Holistic AI OSL are being developed to help create responsible AI by addressing issues like bias and security. This is important for safe and fair AI development.

Pricing Change Analysis: Airtable and Aha!

Good Better Best • 2 implied HN points • 08 Aug 25
💼 Business Product Management
  1. Airtable changed its pricing model from an AI add-on to a credit system, making it easier for teams to use AI features without needing to contact sales.
  2. Credits in Airtable can be shared among users, which helps teams manage their usage better and encourages upgrades when they hit limits.
  3. Aha! launched a project management tool that fits well with their existing products, but its many pricing options could confuse customers instead of helping them choose easily.

E10 - Future Trends: Gen AI and the Next Generation of Products

The Product Channel By Sid Saladi • 6 implied HN points • 16 Jan 25
🕹 Technology Product Management
  1. Generative AI is reshaping industries by creating new opportunities and enhancing product development. It's not just a technology; it can change the way we work and create.
  2. Real-world examples, like DeepMind's AlphaFold, show how generative AI can lead to breakthroughs in fields like healthcare, making processes faster and more efficient.
  3. Product managers should harness generative AI to create better user experiences. By integrating this technology, they can offer more personalized and engaging products.

Week 28 -🕵️‍♀️ Uncover Your Customer’s Deepest Needs 💡: How Jobs-to-be-Done Can Revolutionize Your Product Strategy

The Product Channel By Sid Saladi • 33 implied HN points • 26 Feb 23
💼 Business Product Management
  1. The Jobs-to-be-Done framework helps companies understand customer needs and innovate.
  2. Identifying and categorizing customer jobs is crucial for product strategy.
  3. Competitor analysis, prioritization, and solution development are key steps in applying the JTBD framework.

Week 77 - E5 - Roles and Responsibilities of an AI Product Manager

The Product Channel By Sid Saladi • 16 implied HN points • 04 Feb 24
🕹 Technology Product Management
  1. AI product managers bridge business and technology in the development of AI-powered products
  2. Key responsibilities of AI product managers include research, strategy, development, execution, product launch, and growth
  3. Necessary skills for AI product managers include AI and data literacy, technical acumen, business savviness, strategic thinking, stakeholder alignment, and user empathy

E5 - Roles and Responsibilities of an AI Product Manager

The Product Channel By Sid Saladi • 6 implied HN points • 08 Dec 24
🕹 Technology Product Management
  1. AI product managers play a key role in creating and managing AI-powered products. They need to combine technical knowledge with an understanding of user needs.
  2. Their responsibilities include researching AI applications, creating product strategies, and leading development teams. They ensure that products are both viable in the market and valuable to users.
  3. To succeed, AI product managers should have skills in AI, business, and user experience. A mix of education in tech, business, and design helps prepare them for this role.

E4 - Discover the AI PM Universe: The Many Faces of AI Product Managers 🤖

The Product Channel By Sid Saladi • 6 implied HN points • 01 Dec 24
🕹 Technology Product Management
  1. There are various types of AI Product Managers, each focusing on different aspects like infrastructure, rankings, and generative AI. Knowing these roles helps in understanding how AI products come to life.
  2. Key skills for AI Product Managers include understanding AI technologies, collaborating with data teams, and having strong analytical abilities. These skills ensure they can successfully manage projects and innovate.
  3. The career path in AI Product Management is evolving quickly. Staying updated on AI advancements and continuously learning is essential for success in this field.

🌟 Your Ultimate AI Guide for Product Managers: 10-Part Series + FREE PDF & Bonus Resources! 🚀

The Product Channel By Sid Saladi • 13 implied HN points • 17 Mar 24
🕹 Technology Product Management
  1. The post celebrates the completion of a 10-part series on AI impact on product management, expressing gratitude for the support and engagement.
  2. The series covers various topics like introduction to AI, large language models, AI product manager roles, ethical AI, and the future of AI in product innovation.
  3. The author offers a free PDF compilation of the series with bonus resources, encourages feedback from readers, and shares additional AI resources for product managers.

Week 82 - E10 - Future Trends: Gen AI and the Next Generation of Products

The Product Channel By Sid Saladi • 13 implied HN points • 10 Mar 24
🕹 Technology Product Management
  1. Cognitive generative AI combines generative models with cognitive computing capabilities, revolutionizing industries like healthcare and creative design.
  2. Generative AI is poised to transform immersive experiences like VR and AR by generating realistic 3D environments in real-time.
  3. Autonomous generative AI agents can make decisions independently, adapting to dynamic environments and revolutionizing industries like customer service and supply chain management.

Week 78 - E7 - 🚀🤖✨Transform Your Business with Next-Gen RAG Digital Assistants

The Product Channel By Sid Saladi • 13 implied HN points • 18 Feb 24
🕹 Technology Product Management
  1. Large Language Models (LLMs) trained on Private Data are becoming popular for creating AI assistants that can engage customers, answer questions, assist employees, and automate tasks.
  2. The Retrieval-Augmented Generation (RAG) framework enhances the capabilities of LLMs by incorporating external, real-time information into AI responses, revolutionizing the accuracy and relevance of generated content.
  3. Implementing RAG in enterprises through steps like choosing a foundational LLM, preparing a knowledge base, encoding text into embeddings, implementing semantic search, composing final prompts, and generating responses can transform business operations by empowering employees, enhancing customer engagement, streamlining decision-making, driving innovation, and optimizing content strategy.

Week 74 - E2- Basics of Large Language Models for Product Managers 🤖

The Product Channel By Sid Saladi • 13 implied HN points • 14 Jan 24
🕹 Technology Product Management
  1. Large language models (LLMs) are transforming industries with diverse applications like automated article generation, conversational product recommendations, intelligent chatbots, and code generation.
  2. LLMs play a crucial role in product innovation by assisting in rapid ideation, prototyping, concept validation, and continuous enhancement of offerings.
  3. Understanding the costs and data requirements to develop LLMs is essential, as it involves significant investment in computational resources, data training, and cloud infrastructure.

What Agentforce says about the State of Agents

Good Better Best • 2 implied HN points • 23 May 25
💼 Business Product Management
  1. Salesforce is changing its pricing model to be more flexible, allowing customers to pay based on the specific actions their AI tools perform. This means businesses can better align costs with what they actually use.
  2. The development of hybrid pricing models shows that the market for AI is still growing and evolving. Companies are exploring new ways to find a balance between human workers and AI.
  3. A strong pricing infrastructure is crucial for companies. Those that can adapt their pricing strategies easily will have an advantage as the landscape of AI and enterprise software continues to shift.

Season 05 - Newsletter 01 --> Look back at 2024 and forward to 2025

Product Hustle Stack Newsletter • 4 implied HN points • 06 Jan 25
💼 Business Product Management
  1. In 2024, consumers showed mixed feelings about spending, where rich people kept buying more while those with less money struggled. Finding balance between cautiousness and resilience was key for many.
  2. AI became a big part of daily life, assisting people not just at work but also in personal matters. This made AI feel more like a helpful companion than just a tool.
  3. Product leaders in 2025 need to adapt to challenges and find ways to connect with both broad audiences and specific market needs. It's important to build products that resonate emotionally while using AI effectively.

Cross-Dysfunctional Product Teams

TeamCraft • 13 implied HN points • 23 Oct 23
🕹 Technology Product Management
  1. Spotify's cross-functional product squads champion autonomy and decoupled releases.
  2. Local cross-pollination in product teams enables holistic problem-solving.
  3. Startups often adopt parts of the Spotify framework but struggle due to lack of trust and selective implementation.

Week 80 - E8 - 🤖 AI Integration for Faster, Better Product Development

The Product Channel By Sid Saladi • 10 implied HN points • 25 Feb 24
🕹 Technology Product Management
  1. Artificial Intelligence (AI) is a pivotal force in reshaping industries, offering product managers opportunities to enhance their development lifecycle.
  2. Integrating AI into product development leads to reduced time-to-market, increased efficiency, and better resonance with users.
  3. AI helps in enhancing ideation by analyzing customer feedback, conducting market research, and generating innovative concepts to uncover promising opportunities.

Cultivate a Privacy-First Mindset

Building Rome(s) • 3 implied HN points • 17 Feb 25
🕹 Technology Product Management
  1. Privacy is super important for AI products, and Technical Program Managers (TPMs) play a key role in keeping user data safe and building trust.
  2. TPMs should involve legal and privacy teams early in the project to make sure privacy is part of the design, not an afterthought.
  3. It's essential to prioritize privacy throughout the development process, treating any privacy issues as top priorities and integrating privacy checks at every stage.