Introduce Yourself (Example Post)

This is an example post, originally published as part of Blogging University. Enroll in one of our ten programs, and start your blog right.

You’re going to publish a post today. Don’t worry about how your blog looks. Don’t worry if you haven’t given it a name yet, or you’re feeling overwhelmed. Just click the “New Post” button, and tell us why you’re here.

Why do this?

  • Because it gives new readers context. What are you about? Why should they read your blog?
  • Because it will help you focus your own ideas about your blog and what you’d like to do with it.

The post can be short or long, a personal intro to your life or a bloggy mission statement, a manifesto for the future or a simple outline of your the types of things you hope to publish.

To help you get started, here are a few questions:

  • Why are you blogging publicly, rather than keeping a personal journal?
  • What topics do you think you’ll write about?
  • Who would you love to connect with via your blog?
  • If you blog successfully throughout the next year, what would you hope to have accomplished?

You’re not locked into any of this; one of the wonderful things about blogs is how they constantly evolve as we learn, grow, and interact with one another — but it’s good to know where and why you started, and articulating your goals may just give you a few other post ideas.

Can’t think how to get started? Just write the first thing that pops into your head. Anne Lamott, author of a book on writing we love, says that you need to give yourself permission to write a “crappy first draft”. Anne makes a great point — just start writing, and worry about editing it later.

When you’re ready to publish, give your post three to five tags that describe your blog’s focus — writing, photography, fiction, parenting, food, cars, movies, sports, whatever. These tags will help others who care about your topics find you in the Reader. Make sure one of the tags is “zerotohero,” so other new bloggers can find you, too.

Published by Daliana Liu

Daliana is an experienced data scientist, currently, she is building ML models for AWS customers from various industries to accelerate their business and products. She studied Mathematics during college in China, and then got her Master degree in Statistics at UC-Irvine. Currently, she is working on computer vision event detection projects and sports analytics using ML. Before she joined AWS, she worked on the A/B testing team at Amazon retail. She developed, designed and analyzed A/B testing strategies for internal teams. She lead trainings on A/B testing and decision making for product managers and SDEs, and helped teams make product launch decisions. She has a US patent on A/B testing run time determination with her previous colleagues. She shares her ideas and learnings about data science through writing on Linkedin. Linkedin: https://www.linkedin.com/in/dalianaliu/

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