AWS Startups Blog
Tag: getting started
A Systematic Approach for Analytics Services Migration from GCP to AWS
In this post, we present a systematic approach to guide customers migrating a few commonly used cloud data analytics services from Google Cloud Platform (GCP) to AWS. Rather than a detailed step-by-step implementation guide for a specific service, the post is intended to provide a holistic view and systematic approach for the migrations of these GCP services to AWS.
Read MorePutting It All Together (Startup Founder Sales Series, Conclusion)
AWS Startup Advocate Mark Birch concludes his Founder Sales Series with advice on how to put all his tips and tricks together to create a more effective sales strategy for your startup.
Read MoreNegotiate & Close the Deal (Startup Founder Sales Series, Part 12)
In the final post of the Founder Sales series, AWS Startup Advocate Mark Birch shares how to avoid the 11th hour close.
Read MoreContract and Legal Traps to Avoid (Startup Founder Sales Series, Part 11)
In part 11 of the Founder Sales Series, AWS Startup Advocate Mark Birch shares some of the more common sticking points and areas of caution when it comes to legal side of closing deals.
Read MoreNavigating the Internal Sale (Startup Founder Sales Series, Part 10)
In part 10 of the Founder Sales series, AWS Startup Advocate Mark Birch walks through the common mistakes that can lead to a good deal unraveling and how to address them.
Read MoreThe Startup’s Guide to Building Tools without Programming Using Honeycode
Build a better way to work. Amazon Honeycode gives you the power to build apps for managing your team’s work. No programming required. Here’s how it works.
Read MoreFinding Your Internal Champion (Startup Founder Sales Series, Part 9)
After you have had successful preliminary sales meetings, the next step is to build upon these initial meetings to develop internal support for your solution and ensure your efforts lead to a signed deal. AWS Startup Advocate Mark Birch walks through how to do so in part 9 of the Founder Sales series.
Read MoreHow Startups Deploy Pretrained Models on Amazon SageMaker
For most machine learning startups, the most valuable resource is time. They want to focus on developing the unique aspects of their business, not managing the dynamic compute infrastructure needed to run their applications. Productionizing machine leaning should be easier, and that’s where AWS comes in. In this blog post and corresponding GitHub repo, you will learn how to bring a pre-trained model to Amazon SageMaker to have production-ready model serving in under 15 minutes.
Read MoreMore Effective Sales Meetings (Startup Founder Sales Series, Part 8)
As a founder of a B2B startup struggling to book sales meetings, it is frustrating to experience getting ghosted. This is when all communication ceases between two parties. For salespeople, this is a common occurrence. AWS Startup Advocate Mark Mirch walks us through how to book more effective sales meetings in part 8 of the Founder Sales series.
Read MoreQualifying for the Right Customers (Startup Founder Sales Series, Part 7)
For startup founders, the time is your biggest constraint. You are running a company, seeking capital, guiding product, hiring staff, and leading marketing and sales. If four out of five deals turn out to be duds and each deal take ten hours, you have lost a week of time. This is why rigorously qualifying your deals is so vitally important. You need to focus your time on finding the right customers. In part 7 of the Startup Founder Sales series, AWS Startup Advocate Mark Birch tells us how.
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