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Show HN: Monitoring and automation for email servers, starting with Postfix
Show HN: Monitoring and automation for email servers, starting with Postfix
Show HN: I was playing with fundamental constants and 13.8 b years popped out
I was playing around with fundamental constants and out popped 13.8 billion light years. What is going on?<p>the wavelength of an electron mass photon / (2pi)
*
the charge radius of a proton
/
the black hole radius of a proton
=
13.8 billion light years<p>((h / (m_e * c * 2pi)) * (h / (m_p * c * pi/2)) / (2G * m_p / c^2))
=
13.8 billion light years<p>https://www.wolframalpha.com/input/?i=(h+/+(m_e+<i>+c+</i>+2pi))+<i>+(h+/+(m_p+</i>+c+<i>+pi/2))+/+(2G+</i>+m_p+/+c^2)+to+light+years&assumption="UnitClash"+->+{"G",+{"GravitationalConstant"}}&assumption="UnitClash"+->+{"m_e",+{"ElectronMass"}}&assumption="UnitClash"+->+{"c",+{"SpeedOfLight"}}&assumption="UnitClash"+->+{"h",+{"PlanckConstant"}}
Show HN: I was playing with fundamental constants and 13.8 b years popped out
I was playing around with fundamental constants and out popped 13.8 billion light years. What is going on?<p>the wavelength of an electron mass photon / (2pi)
*
the charge radius of a proton
/
the black hole radius of a proton
=
13.8 billion light years<p>((h / (m_e * c * 2pi)) * (h / (m_p * c * pi/2)) / (2G * m_p / c^2))
=
13.8 billion light years<p>https://www.wolframalpha.com/input/?i=(h+/+(m_e+<i>+c+</i>+2pi))+<i>+(h+/+(m_p+</i>+c+<i>+pi/2))+/+(2G+</i>+m_p+/+c^2)+to+light+years&assumption="UnitClash"+->+{"G",+{"GravitationalConstant"}}&assumption="UnitClash"+->+{"m_e",+{"ElectronMass"}}&assumption="UnitClash"+->+{"c",+{"SpeedOfLight"}}&assumption="UnitClash"+->+{"h",+{"PlanckConstant"}}
Show HN: Flowbite – Tailwind CSS Components Library
Show HN: Flowbite – Tailwind CSS Components Library
Show HN: Flowbite – Tailwind CSS Components Library
Show HN: Ishim – find available one-word domain names
Show HN: Ishim – find available one-word domain names
Show HN: Ishim – find available one-word domain names
Show HN: Qsh – Improved database querying from your terminal
Show HN: Qsh – Improved database querying from your terminal
Show HN: Qsh – Improved database querying from your terminal
Show HN: Embeddinghub: A vector database built for Machine Learning embeddings
Show HN: Embeddinghub: A vector database built for Machine Learning embeddings
Show HN: Kizie – Twitter for web, reimagined
Show HN: Kizie – Twitter for web, reimagined
Dieter Rams' design principles applied to software engineering
Show HN: Copy code from coding videos and Search inside it
Show HN: Copy code from coding videos and Search inside it