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, Astronomer seems to be more popular. It has been mentiond 4 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.
A quick tip for airflow if you don't have a local install (and I heartily recommend a local install - astronomer.io has an easy to set up container). Source: over 1 year ago
Julian LaNeve is an engineer and data scientist who currently works at Astronomer.io as a Product Manager. In his free time, he enjoys playing poker, chess and winning data science competitions. - Source: dev.to / over 1 year ago
Then load up docker, don't need to be a docker expert, just install docker desktop on windows or use linux. Go to astronomer.io and look at how to run airflow (cron++) in docker. Get that working. If you don't know python but do program in some language, you should be able to get up to speed on the basics pretty quickly. If you know python, it will be a breeze. Source: over 2 years ago
Hello guys, I am currently looking for the right orchestration to build a data pipeline composed of long running tasks (python scripts) among which some run in parallel. Although I was firstly hesitating between Apache Airflow and AWS Step functions, it appeared setting Airflow for production might be too complicated without using a way too expensive service meant for that intent( aws managed worflows or... Source: almost 3 years ago
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