Things I Read About Recently [#Issue 2024.06]

Because the world needs better dashboards

While my own professional interests in Building Better Data Insights Faster rely on using visuals and narratives to show data-driven results, “Starting from first principles” is the question you have to ask. Identifying the quality data sources, the time to delivery and the confidence of accuracy are critical aspects of any dashboard.

Source: WrapText by Equals

This is the second article I’ve read about Equals in a week, and while I’m not ready to go back to a spreadsheet, this company has some great previous posts with excellent content, such as the 2023 summary and How to ship fast. An appropriate statement would be.

What a year. We embraced AI. We reimagined BI. We waved freemium goodbye. And as the cliché goes, we’re only just getting started.

[Last Week in AWS] Issue #352: New Year, New You, Here’s December in Review

Damm right, I think you are giving too much created by saying “a year”. More than once I had to rewrite code because AWS was years behind standard Python releases. AWS Lambda adds support for Python 3.12.

Whatever was going on with the delays in getting new language runtimes out a year or more after the language version itself was released seems to have been resolved. I wonder how long it’ll take that unpleasant chapter to fade from the collective awareness around Lambda?

Source: Last Week in AWS

Latency is the new outage

While technically a video that I listened to with Getting Started with ElastiCache for Redis Performance & Cost Optimization, this needs to be a slogan used more frequently. It is so true. The speaker in the opening minutes also describes some compelling reasons why our proliferation of data can contribute to a negative impact.

Source: Random AWS reading.

About “Things I Read About Recently”

Most days I take some time early in the morning to scan my inbox newsletters, the news, LinkedIn or other sources to read something new covering the professional and personal topics of interest. Turning what I read into some actionable notes in a short committed time window is a summary of what I learned, what I should really learn and use, or what is of random interest.

Some of my regular sources include TLDR, Forbes Daily, ThoughWorks Podcasts, Daily Dose of Data Science and BoringCashCow. Also Scientific American Technology, Fareed’s Global Briefing, Software Design: Tidy First? by Kent Beck, Last Week in AWS to name a few.

Things I Read About Recently [#Issue 2024.05]

Why I’m excited about profit-sharing startups

Every year there is a list of the startups that failed and 2023 failures was no different. There is also the list of likely IPOs for the year. Is it going to be Space X, DataBricks and Reddit for example.

This article along with a host of links reaching out to sites such as Creator Fund, Humanism and Weekend Fund and other interesting stories re-iterate that it is great people and not great ideas that are the right way of being an entrepreneur. The concept of investing that asks for a return of 1-5% of future earnings is an interesting movement from going down the VC slog.

The article lists these points:

  • There’s a culture shift in tech toward profit-generating businesses.
  • There’s a tech shift that enables talent to build more with less.
  • There’s a regulatory shift that makes exits challenging.

… believe a few big shifts will drive more founders and investors to pursue profit-sharing models in 2024 and beyond.

This tweet talks about Gumroad issuing dividends back to our investors. I always understood that investors wanted to see a return, or a positive change in the return capabilities within a 5 year horizon. Also interesting is this Challenging your assumptions about starutps video.

Combined with Why the Future of Startups are Studios really helps me consider what I started back in 2011 with a number of technology leaders in New York as a viable alternative to what we know about funding a startup. We were always able to get through the first 3 steps easily.

  • Generate an idea
  • Flesh out the idea
  • Launch and experiment
  • Create a project
  • Create a big company

I believe Graham was ahead of his time with Ultra Light Startups some 15 years ago.

Source: TLDR

About ‘Things I Read About Recently’

Most days I take some time early in the morning to scan my inbox newsletters, the news, LinkedIn or other sources to read something new covering the professional and personal topics of interest. Turning what I read into some actionable notes in a short committed time window is a summary of what I learned today, what I should really learn and use, or what is of random interest.

Some of my regular sources include TLDR, Forbes Daily, ThoughWorks Podcasts, Daily Dose of Data Science and BoringCashCow. Also Scientific American Technology, Fareed’s Global Briefing, Software Design: Tidy First? by Kent Beck, Last Week in AWS to name a few.