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The Early Days: How Veeva Hit $100m ARR With Just $3m Raised — And a Deep Vertical Focus

SaaStr

Specific Problem-Solution Fit : “We’re solving problems like drug sample tracking with electronic signature capture, healthcare affiliations management” – problems too niche for horizontal platforms 5. Why a dozen? ” 9.

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Mastering Growth in the AI Era: How to Stand Out, Acquire Customers, and Raise VC Dollars with B Capital, Zetta, and Glasswing

SaaStr

Software engineering teams have been early adopters of AI coding assistants precisely because they provide an immediate, measurable lift. What VCs Are Funding in AI Today The AI funding landscape has evolved rapidly in 2023-2024. This is exactly backward.

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Top PLG Product Manager Roles (+ Candidate Spotlight)

User Pilot

With a background in software engineering and a Masters in Product Design, he combines technical depth with growth-driven business acumen to deliver impactful, user-centric solutions. With a background in industrial engineering, he brings a data- and systems-driven approach to product development, user activation, and monetization.

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AI Engineer World's Fair 2025: My Day 1 Highlights

Crafty CTO

And if you actually do that, you know, what I described also sounds a lot like good software engineering practice. And so things like healthcare that requires responsibility to go in and think about how to do it right. And I think that going even deeper to just like making it possible to just move so much faster as a company.

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Using Generative AI to Drive Corporate Impact

TechEmpower SaaS

At TechEmpower , we are using LLMs, RAG, fine tuning and other Generative AI techniques to revolutionize a key part of day-to-day operations in healthcare. The standards in healthcare dictate that we achieve reliable results. By automating routine and complex tasks alike, AI allows engineers to focus on innovation and strategic tasks.

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The Where, When, and How of AI with Theory Ventures, Open AI, MotherDuck and Lamini

SaaStr

When they set out to launch, they selected as wide a variety of design partners as they could in different industries and use cases to see how healthcare, banking, or consulting use these tools. A Merger of Two Personas — Software Engineer and ML Engineers Ten years ago, your data stack involved systems that produced data.

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Biotech Revolution with Software Engineering Daily

Andreessen Horowitz

The confluence of new biological methods like CRISPR, virtually unlimited computational capacity, and machine learning has fundamentally transformed our ability to engineer biology for wide-ranging applications.”