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

Intercom, Inc.

This post is an adaptation of a talk I recently gave at the Amazon Web Services (AWS) community day event in Dublin about the technical strategies I’ve experienced that don’t work and the ones that have helped us to grow and scale at Intercom. Building for scale. The top ten technical strategies to avoid. Multi-cloud architectures.

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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.

AI 321
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Agile support: 9 principles to help your team provide personal support at scale

Intercom, Inc.

Agile principles can be a North Star for time-strapped support teams, helping them to keep the customer’s needs at the heart of their decisions so they can provide fast, personal support at scale. Agile teams start small and move fast, collecting and incorporating feedback to iterate their way to bigger and better solutions quickly.

Scale 235
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Data Product Teams : Best Practices for a Modern Data Team

Tom Tunguz

Data teams are becoming software engineering teams. Like the Devops movement, the Dataops movement aims to scale the use of data within companies without increasing the headcount of the data team. I learned a tremendous amount about the way modern data teams, who leverage software engineering disciplines, operate.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale.

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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. Large enterprises have an immediate need for governance solutions to handle AI at scale. This is exactly backward.

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Braindates Are Open for SaaStr APAC 2023!

SaaStr

with Aashish Krishna Kumar, Head of GTM at Togai Sales Enablement 2.0 – Elevate Rep Performance with Divanshu Goyal, Sales at GTM Buddy Common scaling pains for SaaS businesses and how to overcome them. Straight from a SaaS CCO with Yellow.ai’s CCO with Shekar Murthy, Chief Customer Officer at Yellow.ai