Barry Paul (@bpaul) header
Barry Paul (@bpaul) profile picture

Barry Paul

@bpaul

Adding and subtracting. Lead Engineer at @aha_io

 Hood River, Oregon
planet-hood.com
Joined April 2007
  • Tweets7.8K
  • Following483
  • Followers183
230Media
Photo by Barry Paul (@bpaul)Photo by Barry Paul (@bpaul)Photo by Barry Paul (@bpaul)Photo by Barry Paul (@bpaul)Photo by Barry Paul (@bpaul)Photo by Barry Paul (@bpaul)
Barry Paul retweeted
Aha! (@aha_io) profile picture
Aha!
@aha_io8 Mar 2022
Today we celebrate a major milestone in the Aha! journey — capping off years of growth and profitability. bit.ly/3hRyUta #bootstrapmovement #hatitude #100million
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New post! Automatically avoiding GraphQL N+1s with Ruby: aha.io/engineering/articles/…

Automatically avoiding GraphQL N+1s

Some people, when faced with an API problem, think “I’ll use GraphQL!” And now they have N+1 problems. N+1 problems occur when you want to find a deep tree of records and end up performing a SQL...

aha.io
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Barry Paul retweeted
Mar Hicks (@histoftech) profile picture
Mar Hicks@histoftech30 Nov 2019
holy fucking shit its a crab bubble sort
Derrick (@geekandahalf) profile pictureDerrick@geekandahalf29 Nov 2019
Stumbled into reading about hermit crabs and wut:
Image from Derrick (@geekandahalf)
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It was really painful to write, and cathartic at the same time. From Pain To Joy - A very Personal Story comeseemyuniverse.wordpress.…
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Barry Paul retweeted
Aha! (@aha_io) profile picture
Aha!
@aha_io5 Apr 2019
Meet Barry — windsurfer, engineer, adventurer, and Aha! teammate. #rails bit.ly/2FQukbo
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longreads.com/2019/03/29/on-…
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Barry Paul retweeted
Hongli Lai (@honglilai) profile picture
Hongli Lai
@honglilai14 Mar 2019
Ruby apps can use *a lot* of memory. But why? Well not for the reasons people think. The fruit of my research is published! Lower memory usage by 70%. joyfulbikeshedding.com/blog/… #ruby #rails Thanks @codefolio for benchmarking.
What causes Ruby memory bloat?

What causes Ruby memory bloat?

Ruby apps can use a lot of memory. But why? Various people in the community attribute it to memory fragmentation, and provide two “hacky” solutions. Dissatisfied by the current explanations and...

joyfulbikeshedding.com
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Barry Paul retweeted
Aha! (@aha_io) profile picture
Aha!
@aha_io22 Jan 2019
Marketing just changed forever. We are thrilled to introduce our newest product — Aha! for Marketing. It is the new way to set strategy, build visual marketing plans, and report on program results. bit.ly/2FSMTxo #marketing
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Barry Paul retweeted
Aha! (@aha_io) profile picture
Aha!
@aha_io30 May 2018
"How This CEO Prioritizes Employee Joy" — via @bdehaaff bit.ly/2L9waoR
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Weird optical illusion. This picture will fade away entirely if you stare at it for a minute. Feels like we’ve been in an optical illusion renaissance since gold/blue dress
Image from Venkatesh Rao ☀️ (@vgr)
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Did you miss the talk, or just want a review? Learn how to build a collaborative text editor on the Aha! Blog: blog.aha.io/text-editor/ – at Pittsburgh, PA
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Elon Musk Memo on the State of Tesla: daringfireball.net/linked/20…
Elon Musk Memo on the State of Tesla

Elon Musk Memo on the State of Tesla

Link to: https://electrek.co/2018/04/17/tesla-model-3-production-goal-6000-units-per-week/

daringfireball.net
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A time line of the U.S. strike in Syria after the chemical attack.

A Time Line of the U.S. Strike in Syria after the Chemical Attack

The United States, along with France and Britain, launched coördinated strikes in Syria a week after a deadly chemical attack.

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Young people have helped lead all our great movements. How inspiring to see it again in so many smart, fearless students standing up for their right to be safe; marching and organizing to remake the world as it should be. We've been waiting for you. And we've got your backs.
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Barry Paul retweeted
Jeff Dean (@JeffDean) profile picture
Jeff Dean
@JeffDean19 Feb 2018
Some new work from the part of Google Brain that works on ml for healthcare: we have encouraging early signs that non-invasive retinal images contain subtle indicators of cardiovascular health that ml models can pick up on, that weren't previously even known to human doctors. teapawt.net/googleresearch/status/…
Google AI (@GoogleAI) profile pictureGoogle AI
@GoogleAI19 Feb 2018
Learn how #deeplearning makes it possible to accurately assess cardiovascular risk factors using retinal images. --> goo.gl/z44vPS
Assessing Cardiovascular Risk Factors with Computer Vision

Assessing Cardiovascular Risk Factors with Computer Vision

Posted by Lily Peng MD PhD, Product Manager, Google Brain Team Heart attacks, strokes and other cardiovascular (CV) diseases continue to be among ...

research.google
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“ Code is like humor. When you have to explain it, it’s bad.” – Cory House
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The Next Decade: The S Curve of Machine Learning. Something I heard 20 yrs ago stuck with me & @BenedictEvans on ML blurgl.com/2018/01/22/the-ne…
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An outstanding FAQ on Apple's cash, full of tidbits on their brilliant, rigorous strategy and vision: asymco.com/2018/01/18/the-ap… #AAPL from @asymco. #business #investor #entrepreneur
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What Happens If China Makes First Contact? theatlantic.com/magazine/arc… @bpaul
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A machine learning algorithm walked into a bar. The bartender asked, “What would you like to drink?” The algorithm replied, “What’s everyone else having”?
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