Viewing profile — jaydub
jaydub
HN member- Joined
- Mon, Mar 03, 2008, 3:37 AM UTC
- HN karma
- 1,332
- Public activity
- 370 items
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About jaydub
Recent public activity
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Comment #33882974
Here's to many more joyful moments! Congrats!
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Comment #33081121
CTG | Multiple Roles | Remote (Within US) | Full-time We're consulting firm led by hands-on software engineers that specializes in custom software development for projects that tou…
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Comment #32156585
Based on my experience, I like the author's approach since it makes things pretty clear-cut and optimized the storage in the core table (in my experience as well, deletes happen fr…
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Comment #23976620
Yeah, I checked it out and wanted to use but a bunch of regular old SQL queries don't work. Please add support for the old fashioned group by syntax! (This will be helpful for gett…
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Comment #15632637
my first reaction was, it looks like an HDR effect
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Comment #14602840
Even if he's out as CEO he still will likely wield outsize influence due to his 1) board seat 2) equity stake 3) majority of leadership are presumably his people. Will be interesti…
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Comment #13689641
Just to confirm, is this a smart-phone based spectrometer? (Why don't they use that term?)
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Comment #12348030
This CNC also represents what appears to be the best UI in almost any machining tool I've seen. Glad to see good design thinking not just get it done engineering.
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Comment #11693798
I'm no physicist, but I think that while it may be theoretically possible to distribute power wirelessly doing so in practice seems like it will be necessarily dangerous so as to b…
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Comment #11431568
Jon here - also worked on Data USA. Several of the visualizations use data from ACS summary tables and the axis in several of the visualizations reflect the underlying buckets prov…
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Comment #10352177
To distribute sound over long distances 'wirelessly' you need to make it loud. That typically means cranking up the power. And ultrasound can be harmful at high power [1]. [1] "Occ…
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Comment #10004885
Used Pandas + Matplotlib to generate the charts. Looks at 2013 5-year estimate from ACS PUMS, using all rows where wage > 0 and age > = 16
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