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A Founder’s Guide to Building and Scaling Marketing Channels: Lessons from Datadog’s CMO and First Marketing Hire

SaaStr

Prior to Datadog, Alex held leadership positions at several high-growth SaaS companies and has a proven track record of building marketing engines that deliver consistent, measurable growth. And just like product development, they take time to mature into something stable and reliable. The problem?

Scale 229
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How Generative AI Will Turn Traditional SaaS Models On Their Head with AWS VP of Generative Builders Adam Seligman

SaaStr

Within the next 12 months, Adam Seligman, VP of Generative Builders at AWS, believes there will be an inversion of SaaS. Adam came up with the wildest idea he could think of for an app and used Anthropc, a large language model company, to help develop the idea. All these developers will have agents to help them write faster and faster.

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How Amazon Web Services (AWS) Achieved an $11.5B Run Rate by Working Backwards

Hitenism

In 2006, after Amazon Web Services (AWS) helped pioneer what we now call the cloud, product development changed forever. What once took millions of dollars and a team of engineers to create, a lone developer could suddenly hack together in half an hour. AWS is now an $11.5B How Amazon Works Backwards.

AWS 189
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The Complete Guide to SaaS Pricing Strategy

Tom Tunguz

Price low to minimize adoption friction, grow quickly, and then move up-market after developing broad adoption. Skimming is less common in the software world because few startups develop a product at launch that will be accepted by the most sophisticated customers (and those willing to pay prices that generate the greatest margin).

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10 technical strategies to avoid when scaling your startup (and 5 to embrace)

Intercom, Inc.

From premature optimization to over-engineering solutions for your product, it’s easy to get caught up in making technology decisions that slow you down instead of speeding you up. At Intercom, we’ve found success running Lambda as glue code between AWS services. The top ten technical strategies to avoid. Multi-cloud architectures.

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The Battle for AI Gravity

Tom Tunguz

Open & closed ; small/medium/large ; models built for images or code or text ; all of these are in rapid development. So AI products aren’t electric motors with one or two moving pieces, but more like the gas powered engines with many moving parts. AWS & others have stopped charging to move data.

AI 306
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Spot the Difference

Tom Tunguz

We swapped the transaction database from PostGres to a blockchain like Ethereum or Sui , and the file storage from AWS S3 to a decentralized storage provider, perhaps Filecoin or ArWeave. Makes me wonder: If the database APIs were the same across web2 & web3, would developers or users notice?