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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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Top 10 Trends for Data in 2024

Tom Tunguz

Data Teams are Becoming Software Teams : DevOps created a movement within software development that empowers developers to run the software they wrote. Most sophisticated data teams run like software engineering teams with product requirement documents, ticketing systems, & sprints.

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Run Less Software

Intercom, Inc.

As well as being a critical philosophy behind how we build software, it also represents how I feel about the software industry and technology in general. To understand why Run Less Software is so important, let’s map out the battlefield, the armies on it, their missions and their strategies. Innovative startups.

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Advertising Week 360: How to Tell the Perfect Startup Brand Story

Trint

I’d never been exposed to software developers and the mysterious world of coding. I was introduced to a team of software engineers who’d been working on tech that aligned audio and text so that you could follow it like karaoke. I had no idea what Mozfest was, but – open to adventure – I went anyway.

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Finding SaaS Product-Market Fit

Chaotic Flow

Finding product-market fit is a central, early stage challenge of every startup. SaaS startups, however, have unique advantages. SaaS startup founders, product managers, UI designers and software engineers all have strong ideas and even stronger attachments to the SaaS products they build. Go All Out Agile.

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Top 10 Tips to Help You Hire Developers For Startup

TurnKey Labs

Any startup can become a champion, but only if they stack their bench with first-round draft picks. In other words, in the highly competitive software industry, simply hiring any random software developer won’t do.

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Top Themes in Data Transcript

Tom Tunguz

He says the IT department of the future will be like the HR department for AI agents We’ll be managing and ’training’ these agents to work with our data Transition: This change starts first within the engineering org Slide 9 Clearing: Historically, there’s been a divide between software engineering and AI/ML teams.

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