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tfederman

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It's not a big data set that lends itself primarily to analysis, it's more like content. For example, a list of all US Presidents with a lot of metadata or text content fields about them collected/combined from different sources, cleaned, corrected, annotated, etc. (Pretend Wikipedia has only a subset of these fields and considers broadening them out of scope.)

As for Github, the data would still be under "my" account and I'm thinking about more of a platform that doesn't depend on one person. Maybe I would manage day to day version control in Github but I'd want to promote occasional releases to be more official and not reliant on my account.

RSS reader through Bluesky custom feeds: https://github.com/tfederman/stroma-news

Bluesky API library spun off from the other project: https://github.com/tfederman/pysky

Haven't really started it yet, but a master list of RSS feeds and the code I used to source them: https://github.com/tfederman/huge-rss-list

And also a new project to fetch all links seen in the Bluesky firehose and gather metadata to build a database of sites and pages at a more granular level than the domain. For example, is account X posting video links from one YT channel or many?

My company just doesn't have product or project managers and it's wonderful. Fewer meetings, no intermediaries, more agility. It could only work in practice, it could never work in theory.

I feel like I spend a troubling amount of time as a software developer dealing with and/or avoiding solutions that are much more complicated than the problems they're trying to solve.

When I take notes because I need to retain something, the writing part is more valuable than reviewing it later. And writing on paper is important, typing isn't effective for that part.

When I take notes just to record details that I can look up later on demand it's faster to type and there's no downside. But that matches work more than it does school.

At this point I already get my stuff from Amazon fast enough, and I don't even have a prime account. I'd rather see Amazon improve working conditions for its employees (if what that I've read about that is true) than chase this obsession with feeding my desire to get more material things as fast as possible.

Ironically their focus on customer satisfaction has started to make me feel dirty about buying from Amazon.

When someone gets entertainment value from playing the lottery, is it really about the chance of winning multiplied by the amount of happiness the money would bring? Or does it have more to do with the excitement that comes with each drawing? (Similar to how I can enjoy watching a football season even if my team doesn't win the Super Bowl.)

I think it's more likely the latter, though I don't personally see the entertainment value of playing the lottery. I wouldn't lose respect for someone for having a hobby I don't share or understand, though.

When the expected value is so definitively against you I guess it's implied that you're playing for variance. Maybe you also feel that you're playing for the entertainment value, which isn't subject to the same mathematical rationality.

I get that. When I play poker for 5 hours and come out even at the end of the night or slightly behind, I consider it worthwhile because I had fun for 5 hours.

When I saw the title my first instinct was, okay, what's the metaphor between a beehive and a development team or a startup? You could find some parallels, but I agree this article is better.

Maybe it's hard to find Facebook essential (as opposed to convenient) if you lived during a time when you had to actually know your friends' phone numbers and enter them manually. As I did.

Anyone you're close to you have a way to contact without Facebook. Anyone else shouldn't make you feel like you're missing anything important. Right?

There's a good selection and it's weighted towards earlier seasons which is good but unfortunately no Manos or Santa Claus Conquers the Martians yet.

Cogo Labs - Cambridge, MA (Kendall Square)

Cogo Labs is an incubator/accelerator behind fast-growing analytics-driven startups. We're growing fast ourselves and hiring for many positions: http://cogolabs.com/careers

Engineering summary:

Databases: Postgres, Impala/Presto, Redshift, MySQL

Languages: Python, Ruby, Go, Lua, Javascript/HTML/CSS

Data science: Python, SQL, R, Hadoop/Mahout

Other: Hadoop, Amazon Web Services, Flask/Django/Sinatra/Rails, Redis, RabbitMQ, Git/Github

We're flexible, so if you're very good at some combination of the above then let's talk.

As an engineer at Cogo, the role I can speak most about, you'll work closely with a team of highly technical analysts who are proficient in both analysis and also prototyping/v1.0 development. You'll spend your time engineering scalable applications and services rather than packaging up reports and delivering status updates to project managers. We don't have the latter. We do have great engineers who succeed with a lot of freedom and independence.

At Cogo Labs you'll get to work with different businesses starting from their inception without the career/financial/personal sanity risks that can come with such ventures. It's a fun place with interesting stuff to work on and minimal barriers/overhead to getting it done.

Feel free to contact me at tfederman@cogolabs.com with any questions or interest.