Cuttles is an online web app that helps entrepreneurs and startups turn their idea into profitable businesses. In Cuttles you can create your canvas, write your business plan, do budgets and forecasts and keep track of your runway. The app guides you every step of the way in a fun and easy-to-understand language and with real-life examples, making it much simpler and much faster to do all the business stuff.
We've developed Cuttles with a focus on design, personalization and great UX. Once users create a startup and upload a logo, the whole app changes into their own brand design. Users can export or share their canvas, business plan and budgets privately or publicly with anyone they want.
We want anyone with an idea to be able to plan their business and meet investors with confidence - no matter the experience level.
We launched on the 9th of March. We hope you'll give it a try!
Based on our record, AWS Glue seems to be more popular. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analysis. It helps bridge the gap between our MongoDB Atlas data and the services we'll use for recommendation. - Source: dev.to / 4 months ago
AWS Glue is a fully managed extract, transform, and load (ETL) service provided by Amazon Web Services (AWS). It is designed to make it easy for users to prepare and load their data for analysis. AWS Glue simplifies the process of building and managing ETL workflows by providing a serverless environment for running ETL jobs. - Source: dev.to / 5 months ago
It is serverless data integration service to allow you to easily scale your workloads in preparing data and moving transformed data into a target location. - Source: dev.to / about 1 year ago
So in the next post, we'll do that: We'll take what we've done here, add a few more components with Pulumi and AWS Glue, and wire it all up with a few magical lines of Python scripting. - Source: dev.to / over 1 year ago
Once it's in a Data Lake then you have different options depending on the analytics you need. For more advanced constant analytics then you could look into Amazon Kinesis Data Analytics instead of Firehose to S3, but for Ad-Hoc queries then this is where Glue and Athena come in. - Source: dev.to / over 1 year ago
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