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What’s New at Greenhouse: $200M ARR, AI in the Real World, Going Big with PE, and More

SaaStr

AI in the Real World AI has burst on the scene, and everyone’s rushing to add a ChatGPT-like thing to their product. Of course, when you have a paradigm shift of an old version and new version, before the internet and after the internet, before AI and after AI, things eventually get folded down into the main stack.

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

Intercom, Inc.

Although they may seem like strong opinions, many of these tips echo the main tenets of software engineering: work with you’ve got, design solutions as needed, don’t repeat yourself, and keep it simple, stupid! But over time, we noticed that teams hated working on these services. The top ten technical strategies to avoid.

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The new dawn of Machine Learning

Intercom, Inc.

AI has been quite overhyped in the past. ML teams tend to invest a fair share of resources in research that never ships. If you want to invest in ML, hire someone with experience on both the tech and the operational side so they can start working with the product team from day one. What’s up? The rise of neural networks.

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Guru’s Rick Nucci on using automation to scale your customer experience

Intercom, Inc.

Some think customers will see the advent of AI as a welcome way to get self-help quickly and get back to their task. Others worry that AI will worsen the customer experience as more and more companies use it to save costs. When scaling your customer experience, remember AI can’t simulate human empathy.

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Best DAST tools for DevOps & software development teams

Audacix

Table Of Contents The strangest reality of application security in the age of "shift left" is the poor understanding of DAST tools (dynamic vulnerability scanning tools) and, particularly, the value that they the offer as part of a modern software development lifecycle. How does DAST work?

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Best DAST scanning tool for DevOps-enabled software development teams

Audacix

The strangest reality of application security in the age of "shift left" is the poor understanding of DAST scanning tools (dynamic vulnerability scanning tools) and, particularly, the value that they the offer as part of a modern software development lifecycle. Github) and your preferred CICD pipeline orchestration tool (eg.

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

The rise of foundation models and generative AI only furthers this trend. But this isn’t another post about AI, it’s about the future of data infrastructure. As Frank Slootman (Snowflake CEO) said, “Enterprises are also realizing that they cannot have an AI strategy without a data strategy to base it on.”

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