From the TL;DR in Tech archive, originally sent on Substack. Some links may have died since.

tl;dr in tech by Joe Karlsson - Issue #5

👩🏾‍💻🧑🏽‍💻 Tech Articles

tl;dr: Some call community the newest “moat” for business today. No matter the sector, a vibrant community not only serves as a defensive hedge against the competition but can also drive learning, innovation, and value.”

*NEW BLOG ALERT* There are so many databases out there today! When picking your next database, it’s vital to understand what problems you are attempting to solve, so you can pick one that will fit your needs today, and in the future. 🔮

tl;dr:

1. You’re not learning (and you want to be).

2. You’re learning coping mechanisms rather than skills.

3. You feel morally conflicted about hiring.

4. Your job is affecting your confidence.

5. Your job is affecting you physically.

Pivots, MVPs and Community: How Joseph Quan, Founder & CEO of Knoetic, got his startup back on track by making community his wedge. He shares his hard-won wisdom and his six-step guide for building a community like a product.

tl;dr: “We’ve gotten to the point that Chrome-based browsers are so common that developers just stopped to bother supporting other browsers… Soon Google are going to be in complete control of web standards, unless something drastically changes. Do you want the future of browsing to lie solely in the hands of the biggest advertising business on Earth? I’m pretty sure that I don’t.”

Read RudderStack CEO Soumyadeb Mitra’s insights on the changes ahead in the field of data as the data engineering megatrend impacts every industry.

tl;dr: “Community reframes your startup by starting with the people that you’re bringing together - not the product prototype you’re envisioning in your head.”

tl;dr: “There are 70% more open roles at companies in data engineering as compared to data science. As we train the next generation of data and machine learning practitioners, let’s place more emphasis on engineering skills.”

tl;dr:

1) Data will be discussed at the board level.

2) Dedicated data engineering support for every team.

3) An increased number of ‘unicorns’ solving data problems.

4) Technology for moving data will become commoditized.

5) Real-Time (and near real-time) infrastructure will become standard.

tl;dr: “In cryptography, zero knowledge proofs let you convince me that you know something, or have done something, without revealing to me what your secret thing was.”

tl;dr: “Why is PHP still such a critical part of the web, when other programming languages and frameworks are seemingly more suited to the modern web? Second, what are the motivations behind the companies that have formed this new foundation?”

Cool projects

Another Markdown editor? Yes please!