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How pricing experiments helped me reach $6,000 MRR
It’s been a while since my last post! Since then, I’ve been focusing on growing Remote Rocketship. I’m super excited to announce that it’s reached $2,000 MRR! 🥳 You may recall from the last post that I mentioned that the only sustainable channel to grow the website is SEO and that I was learning how to do it from scratch (and it’s now getting 19,000 monthly search clicks!). In this post, I want to share everything I’ve learned about SEO and how to approach it. In doing so, I hope you’ll also share your tips and help me fill in any gaps in my knowledge!
In my last post, I talked about how I going about searching for a new idea to work on. I’ve now landed on Remote Rocketship, a job board for remote roles. In this post, I’ll talk about how I got there, what I’ve been up to and how I’m thinking about moving forward.
Over the last month, I’ve been exploring a new idea in the cold outbound sales space. The idea is to generate personalized cold emails at scale using AI. Currently, there is a trade-off between quantity and quality when it comes to sending cold emails: Either you spend lots of time researching a prospect and crafting a personalized email, or you send generic emails in bulk to a large group of people. Naturally, the response rate for personalized emails is much higher than the generic ones, so I’ve been looking into how to do this at scale.
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I’m looking for a new programming language to learn this year, and Gleam looks like the most fun. It’s an Elixir-like language that supports static typing. I read the language tour, and it made sense to me, but I need to build something before I can judge a programming language well. I’m sharing some notes on my first few hours using Gleam in case they’re helpful to others learning Gleam or to the team developing the language.
