
Reading: Books, links and podcasts
“the teams who succeed barely talk about tools at all. Instead, they obsess over measurement and iteration.“
https://www.oreilly.com/radar/a-field-guide-to-rapidly-improving-ai-products/
Revenue is not a great North Star metric. For once, it’s not very actionable.
https://open.substack.com/pub/benn/p/startups-shouldnt-care-about-revenue?r=2fz40
Lovable - $10MM ARR in four months
https://www.youtube.com/watch?v=DZtGxNs9AVg
the coding is being commodified but the domain expertise is the differentiator.
https://www.dbreunig.com/2025/04/10/the-domain-experts-are-drivers.html
"Your problem might be unique but the optimal solution is probably not."
https://staysaasy.com/management/2025/04/02/first-principles-problems-secondhand-solutions.html
Stevens: a hackable AI assistant 👀
https://www.geoffreylitt.com/2025/04/12/how-i-made-a-useful-ai-assistant-with-one-sqlite-table-and-a-handful-of-cron-jobs
How to get better at strategy - Will Larson
https://lethain.com/how-to-get-better-at-strategy/
Дочитав Contagious: why things catch on.
Кльова книжка про те, чому деякі ідеї або продукти поширюються, а інші ні.
People want to tell exciting stories, look for practical value, earn social currency and are triggered by stuff around them–what they can see/imitate.
https://maxua.com/books
Today, if you’re an engineer, your job is nuanced, strategic, and creative. There is craft in software development, and an LLM’s derivative brain is not as imaginative as yours.
(spoiler: maybe not for long)
https://open.substack.com/pub/benn/p/the-industrialization-of-it?r=2fz40
“Going forward, companies should budget $100 USD to $500 USD per day, per dev [for LLM tools]”
https://ghuntley.com/redlining/