162 Interest Score
36 Discussions
0.22 Engagement
May 2023 Launched

Marketing Machines is a free book to help marketers be more efficient and understand how artificial intelligence works and the best way to implement it for huge productivity gains. It's a living book that will be frequently updated as AI advances.

What the Community Said

I've worked in emerging technologies and open source for 25 years. During that time I have always been on the forefront of new trends, original Palm Pilot, virtualization, cloud computing, and now artificial intelligence. I've spent most of that time in Developer Relations and Marketing, and anytime I can merge tech and marketing to do a better job I get excited. Marketing Machines was a passion project for me as I was learning about AI I really wanted to share my experience. After working in Si

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@mark_hinkle congratulations on your launch! I created this 14min feedback video for y’all covering copy adjustments, establishing trust, priming users with who you are as the author, consistency across UI, and other considerations. For context, I’m a RISD / Y Combinator alum with 10yrs experience as a product designer. https://www.loom.com/share/f71e3... I love learning how founders are thinking about design. Both to pay it forward if I can help out and because it keeps my skills sharp! If you

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Congratulation on the launch! πŸ‘

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As someone who found a lot of interest in Ai topic, in the latest months, I found this quite useful. I love to see peoples who introduce new approaches and tools for working with AI Also, I appreciate the fact that it is free for everyone who wants to deepen their understanding of AI and how it can be integrated into their work. Congrats! πŸ’ͺ

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awesome, thanks for this giveaway. Can't wait to read it

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Frequently Asked Questions

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

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