Discarded delights: The joy of ex-library books
11 by MrVandemar | 2 comments on Hacker News.
Wednesday, 20 November 2024
Tuesday, 19 November 2024
New top story on Hacker News: Show HN: A ready-to-adapt email marketing sequences database
Show HN: A ready-to-adapt email marketing sequences database
9 by davidbff | 3 comments on Hacker News.
Hey HN, as an email marketer for the past 4 years, I’ve built sequences that reach millions of inboxes every month. But whenever I start a new project—or when a company reaches out for help—it was always almost back to square one: researching from scratch, especially when entering an unfamiliar industry. Really Good Emails and similar resources are awesome, and I use some of them every now and then. But to me, they lack that strategic part of email marketing. So, a couple of months ago, I started building a database of email sequences, which now has examples from 80+ companies and over 330+ categorized and sequenced emails. It’s designed to help non-marketers, solo founders, and busy teams create better email campaigns without starting from scratch. I’d love to hear your thoughts or any suggestions for improvement. Thanks for taking a look!
9 by davidbff | 3 comments on Hacker News.
Hey HN, as an email marketer for the past 4 years, I’ve built sequences that reach millions of inboxes every month. But whenever I start a new project—or when a company reaches out for help—it was always almost back to square one: researching from scratch, especially when entering an unfamiliar industry. Really Good Emails and similar resources are awesome, and I use some of them every now and then. But to me, they lack that strategic part of email marketing. So, a couple of months ago, I started building a database of email sequences, which now has examples from 80+ companies and over 330+ categorized and sequenced emails. It’s designed to help non-marketers, solo founders, and busy teams create better email campaigns without starting from scratch. I’d love to hear your thoughts or any suggestions for improvement. Thanks for taking a look!
Monday, 18 November 2024
New top story on Hacker News: Show HN: Nova JavaScript Engine
Show HN: Nova JavaScript Engine
11 by aapoalas | 0 comments on Hacker News.
We're building a different kind of JavaScript engine, based on data-oriented design and willingness to try something quite out of left field. This is most concretely visible in our major architectural choices: 1. All data allocated on the JavaScript heap is placed into a type-specific vector. Numbers go into the numbers vector, strings into the strings vector, and so on. 2. All heap references are type-discriminated indexes: A heap number is identified by its discriminant value and the index to which it points to in the numbers vector. 3. Objects are also split up into object kind -specific vectors. Ordinary objects go into one vector, Arrays go into another, DataViews into yet another, and so on. 4. Unordinary objects' heap data does not contain ordinary object data but instead they contain an optional index to the ordinary objects vector. 5. Objects are aggressively split into parts to avoid common use-cases having to reading parts that are known to be unused. If this sounds interesting, I've written a few blog posts on the internals of Nova over in our blog, you can jump into that here: https://ift.tt/rcnJkNF
11 by aapoalas | 0 comments on Hacker News.
We're building a different kind of JavaScript engine, based on data-oriented design and willingness to try something quite out of left field. This is most concretely visible in our major architectural choices: 1. All data allocated on the JavaScript heap is placed into a type-specific vector. Numbers go into the numbers vector, strings into the strings vector, and so on. 2. All heap references are type-discriminated indexes: A heap number is identified by its discriminant value and the index to which it points to in the numbers vector. 3. Objects are also split up into object kind -specific vectors. Ordinary objects go into one vector, Arrays go into another, DataViews into yet another, and so on. 4. Unordinary objects' heap data does not contain ordinary object data but instead they contain an optional index to the ordinary objects vector. 5. Objects are aggressively split into parts to avoid common use-cases having to reading parts that are known to be unused. If this sounds interesting, I've written a few blog posts on the internals of Nova over in our blog, you can jump into that here: https://ift.tt/rcnJkNF
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