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The 4 Questions Startups Should Ask Themselves about Building with Generative AI

Tom Tunguz

Layer : application, platform, or infrastructure? In the cloud, AWS, Azure, & GCP have created about as much market cap as all the top 100 B2B & B2C publics built on cloud (Netflix, ServiceNow, AirBnb, etc). The PC increased GDP by 0.006%, according to NBER That alone should turn heads.

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Thanks to ChartMogul, ChurnZero, Cledara, Secureframe, and Verdane for Sponsoring SaaStr Europa 2023!

SaaStr

ChurnZero lets your CS team manage and expand accounts at scale with proactive, personalized engagement that helps every customer succeed. Our best-in-class app tools, automation, dashboards and reporting help you drive strategic customer conversations, boost productivity and scale effectively.

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What Is FinOps and How Can It Help Businesses Scale Their Financial Processes

Baremetrics

FinOps, which stands for Financial Operations, combines the latest technologies and methods to help businesses scale their financial processes adequately and efficiently. Examples of cost management software include in-platform cost optimization modules like GCP Billing and AWS Cost Explorer. Image source 3.

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Tech Stack: Definition, Components, and Building Tips

User Pilot

Your tech stack not only defines the backbone of your business operations but also influences your ability to innovate, scale, and deliver exceptional value to your customers. Service providers like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure offer infrastructure services that support backend development.

Azure 52
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Founder’s Guide to Scaling Applications: When to Build, When to Buy and What Breaks by Algolia Co-founder (Video + Transcript)

SaaStr

When it comes to seamlessly scaling your applications, a top-notch engineering team will be your foundation. Julian Lemoine, Co-Founder, and CTO of Algolia will share his lessons learned on how to stay focused and innovative as you scale while also avoiding the innovation for innovation’s sake pitfalls. Of course, not at scale.

Scale 129
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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

If you want features in your lakehouse (on top of open source Iceberg) for ingestion, CDC, streaming (file loading, Kafka connect, etc), schema evolution, compaction, optimization, time travel, snapshots, auto-scaling, maintenance (no more writing spark jobs to delete snapshots!),

Data 130
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Is My Second Product Failing?

Casey Accidental

Google on GCP? While we are used to startups needing a decent amount of time to find product/market fit (sometimes taking many years), companies that are scaling do not generally think on such long timelines. A good team will push the company to give them a longer time to journey toward a new product that can be a success.