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Microsoft Pays Its AI Engineers 48% More. What About You?

SaaStr

"Software engineers working in AI earned 48% more than the average software engineer at the company, according to a payroll spreadsheet shared with BI." The AI Team at many SaaS startups makes 30%-40% more. It creates issues and drama.

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The Fastest Growing Sectors of Startup Fundraising in 2020

Tom Tunguz

From time to time, I chart the fastest growing categories of startup investment in the US for seed through Series C. I analyzed Crunchbase data and looked for the startup categories that grew fastest in terms of funding rounds year-over-year, provided there were at least 10 rounds in that category.

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How Much More Efficient Should a SaaS Startup Be When Using AI?

Tom Tunguz

Sales development, content marketing, & software engineering strike me as the workstreams that will benefit immediately. Engineering 25% 40% 10% Overall - - 13% See assumptions here 1 This thought experiment highlights a few ideas to validate : AI initiatives focused on cost-reduction should start with engineering.

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The Critical Question Facing Web3 Infrastructure Startups

Tom Tunguz

Third, software engineers decentralize only a subset of the app. How this quandary resolves will determine the most attractive places to build new infrastructure startups. Perhaps this dynamic drives consolidation in the market, paralleling the web2 infrastructure hypermarts of AWS, GCP, and Azure.

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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

Joselyn Goldfein , Managing Director at Zeta Venture Partners, which invests in AI and data infrastructure-focused startups from inception through seed stage And see everyone at 2025 SaaStr Annual, May 13-15 in SF Bay!! 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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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! Day one of your startup is probably not the time to be learning Kubernetes. The top ten technical strategies to avoid.

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The 37% Rule: How to Decide When to Stop Wondering and Start Deciding

Tom Tunguz

But I had forgotten about it until I listened to the author on the Software Engineering Daily podcast. We see it in startups all the time. For example, an early-stage startup spends some amount of its life figuring out the right sales strategy. One of the rules is the 37% rule. This is called exploration period.