Related posts

Programmer and writer known for detailed source code reviews of classic game engines, and author of the Game Engine Black Book series on Wolfenstein 3D and DOOM.

• Mixed onrcmnd.app

  Caldigit TS4

  Their words

  I got the CalDigit TS4 as soon as it was released, in 2022. It was perhaps a little bit better but overall I was disappointed to still sometimes encounter a machine that would not wake up.

  fabiensanglard.net

Venture capitalist and founder of Theory Ventures, previously a partner at Redpoint. Writes a near-daily blog on startups, SaaS metrics, data and AI.

• Lovedrcmnd.app

  Titanium Noir

  Their words

  Curious about his earlier work, I was not disappointed.

  tomtunguz.com

Founder of what became Bloomberg New Energy Finance; writes and speaks on clean energy, hydrogen and the economics of the transition, and hosts the Cleaning Up podcast.

• Our readingkorrents.com

  Small modular reactors have so far underdelivered, remaining as slow to permit as full-scale reactors and more expensive.

  Their words

  The inconvenient facts are that SMRs has so far disappointed, and look like being as slow to get through the permitting process as GW-scale reactors, and even more expensive.

  Why Tony Blair needs to reset his climate resetliebreich.com

Founder and chief executive of Superhuman, the email client; previously founder of Rapportive, which he sold to LinkedIn; a professional game designer before that.

From one piece Superhuman's secret to success | Rahul Vohra (CEO and founder) 2 beliefs, in the piece's order there

• Our readingkorrents.com

  The share of users who would be very disappointed to lose your product predicts success far better than net promoter score, and forty percent is the line.

  Their words

  What he found is that the companies that struggled to grow almost always had less than 40% very disappointed. Whereas the companies that grew the fastest almost always had more than 40% very disappointed. And this question, this metric is way more predictive of success than something for example like net promoter score.

  youtube.com

• Our readingkorrents.com

  Ignore both the users who love your product and the ones who are indifferent to it; the only feedback that raises product-market fit comes from the somewhat disappointed.

  Their words

  And the trick here is not to act too much on the feedback that the very disappointed people are giving you because they already love your product. Also, not to act at all really on the feedback that the not disappointed people are giving you because they're so far from loving your product that they are essentially a lost cause. but to focus on the segment of the somewhat disappointed people.

  youtube.com