Technologies: 10 years of professional experience, working primarily in full-stack web development. I work daily in Python, FastAPI, Ruby, Rails, Sinatra, MySQL, PostgreSQL, Linux, MacOS, Docker, AWS (EC2, RDS, Elastic Beanstalk, IAM), Git. I'm familiar (Use most months) with ElasticSearch, CloudSearch, Tailwind, Vue. As Hobbies, or smaller projects (used on at least one completed project over the past five years): Go, Zig, C, C++, Rust, Phoenix, NoSQL, MongoDB, (probably more, but these were the ones that came to mind.)
My day job has me performing two main functions:
- Building full stack web development systems. I generally lean more towards writing backend code, and documenting our infrastructure. UI is my weakest area. This role has me working in datasets with ~1 billion row tables, and search indexes with ~100 million documents. Since we're a small company (~8 developers), I have been a major part of the architecture of our systems over the past 8 years. We've got five separate core businesses that our dev team supports, and I've been a part of architecting and implementing all of them. I would prefer to focus more on backend development in a future role.
- Creating one-off scripts or processes to assist in business functions. These tend to involve quickly reverse engineering undocumented web APIs we have permission to use, and querying them for our customers. At their simplest, these are a mix of writing some SQL and a few HTTP requests. At their most complicated, they have involved designing and implementing a tree structure to accurately model the business domain, and then pulling data about these structures from relevant public APIs.
- Miscellaneous tasks as they come up, recently, I reduced the cost of a company's AWS CloudSearch spend by 80% (over 10k/month) by reviewing their codebase, doing some research, and improving what they were storing and how they were doing so. This required a one-line code change on the existing codebase, and writing a new, short (~500 line) indexer. Doing a deep dive into the single highest AWS line item was the impetus for the project, and frankly, it turned out far better than expected.
Outside of work, I ran https://www.thiswebsitewillselfdestruct.com, a website I built and maintain. It really will self-destruct, and it reaches ~100k users and handles ~13M requests each month. Building tools and infrastructure to manage its moderation and keep it a positive community has been a huge learning experience.
Deadlock is quite different to Valorant in key ways. Rather than Valorsnt, which is essentially Counterstrike with hero powers. deadlock is Valorant plus Dota2. There are creeps and base management and extensive items.
I certainly think Deadlocks ui is unfinished, but the gameplay is certainly something that hasn't been done super well.
I don't love deadlock yet but haven't played it much. Plus, my opinion means nothing, I thought Artifact was a great game.
I very much agree. I just want to provide some evidence of one if your points:
> if someone is interested in making video games I feel like they'd actually be a bit disappointed after a while of working at Valve.
In 2018, valve aquired Campo Santo. They were a 12 person company who made Firewatch and were working on a new game.
Since then, one of the founders worked on writing Half-Life Alyx. The rest have done little to nothing at valve despite being industry veterans who alwys seemed passionate about games. At least half of the employees at the time of the aquisition have left valve. Im too lazy and sick to look up everyone, but the people who wanted to make games left to good companies where they could work on games.
I personally am happy for the Campo Santo team that they hopefully did well financially in the acquisition, but I an sad that a team working on novel narrative games with high production values was disbanded with little to show for it.
When you filter by election cycle it looks like they aren’t making any huge donations compared to their baseline. Maybe the baseline donations stop things like this, but I don’t think I’d jump to that being the clear reason.
I'm hoping there is a better selling point than a really good home theater for single people. When I was single, having a TV and couch was valuable so that even though they were 95% used alone, they could be shared with guests.
If I was into media enough to spend $3,500 to have a great experience, it would be a bummer if I couldn't watch a movie with someone else occasionally.
I mean, you can still have the TV to watch things with guests.
Or if you're both into the big screen VR experience, you can both wear headsets. Watching movies in a shared virtual movie theater is already a thing and works great. Even better is that you can be in your home and your romantic partner can be in their home (or traveling) and you can still watch together.
Yes, that's preferable when it's an option - unfortunately, that's not always possible, especially when life intervenes. Wouldn't you still want a way to share a space with your partner and watch a movie with them?
I mean, right now it's for the low low price of $500 for a pair of Oculus Quest 2's. Just as big screen, but you'll effectively get 1080p quality on the virtual screen rather than 4K.
Obviously for the Vision we'll wait for prices to come down.
I don't think we've ever pulled anything out of the deck. There are some cards that it says, when we mark [easy], that it will ask him again in 6 years. We joke about how at the age of 17 it will be asking him how to spell "sing", or whatever.
I think a lot use separate apps. I had a gimbal that I used to use with an old iPhone with buttons to move the gimbal and direct the phone, but also with buttons to start/stop recording, and do other things without touching the phone itself. This gimbal was in the $300-$500 range.
8 years of professional experience, working primarially in full-stack web development. I work daily in Python, FastAPI, Ruby, Rails, Sinatra, MySQL, PostgreSQL, Linux, MacOS, Docker, AWS (EC2, RDS, Elastic Beanstalk, IAM), Git. I'm familiar (Use most months) with ElasticSearch, CloudSearch, Tailwind, Vue. As Hobbies, or smaller projects (used on at least one completed project over the past five years): Go, Zig, C, C++, Rust, Phoenix, NoSQL, MongoDB, (probably more, but these were the ones that came to mind.)
I work well with teams but thrive on independent work, and delivering consistent results. As a bit of a heads up, I'm fairly selective about freelance work at the moment.
My day job has me performing two main functions:
- Building full stack web development systems. I generally lean more towards writing backend code, and documenting our infrastructure. UI is my weakest area. This role has me working in datasets with ~1 billion row tables, and search indexes with ~100 million documents. Since we're a small company (~8 developers), I have been a major part of the architecture of our systems over the past 8 years. We've got five separate core businesses that our dev team supports, and I've been a part of architecting and implementing all of them. I would prefer to focus more on backend development in a future role.
- Creating one-off scripts or processes to assist in business functions. These tend to involve quickly reverse engineering undocumented web APIs we have permission to use, and querying them for our customers. At their simplest, these are a mix of writing some SQL and a few HTTP requests. At their most complicated, they have involved designing and implementing a tree structure to accurately model the business domain, and then pulling data about these structures from relevant public APIs.
- This month, I reduced the cost of a company's AWS CloudSearch spend by 80% (over 10k/month) by reviewing their codebase, doing some reasearch, and improving what they were storing and how they were doing so. This required a one-line code change on the existing codebase, and writing a new, short (~500 line) indexer. Doing a deep dive into the single highest AWS line item was the impetus for the project, and frankly, it turned out far better than expected.
Outside of work, I run https://www.thiswebsitewillselfdestruct.com, a website I built and maintain. It really will self-destruct, and it reaches ~100k users and handles ~13M requests each month. Building tools and infrastructure to manage its moderation and keep it a positive community has been a huge learning experience.
- Familiar (Use most months): ElasticSearch, CloudSearch, Tailwind, Vue
- Hobbies (Used on at least one completed project over the past five years): Go, Zig, C, C++, Rust, Phoenix, NoSQL, MongoDB, (probably more, but these were the ones that came to mind.)
My day job has me performing two main functions:
- Building full stack web development systems. I generally lean more towards writing backend code, and documenting our infrastructure. UI is my weakest area. This role has me working in datasets with ~1 billion row tables, and search indexes with ~100 million documents. Since we're a small company (~8 developers), I have been a major part of the architecture of our systems over the past 8 years. We've got five separate core businesses that our dev team supports, and I've been a part of architecting and implementing all of them. I would prefer to focus more on backend development in a future role.
- Creating one-off scripts or processes to assist in business functions. These tend to involve quickly reverse engineering undocumented web APIs we have permission to use, and querying them for our customers. At their simplest, these are a mix of writing some SQL and a few HTTP requests. At their most complicated, they have involved designing and implementing a tree structure to accurately model the business domain, and then pulling data about these structures from relevant public APIs.
- This month, I reduced the cost of a company's AWS CloudSearch spend by 80% (over 10k/month) by reviewing their codebase, doing some reasearch, and improving what they were storing and how they were doing so. This required a one-line code change on the existing codebase, and writing a new, short (~500 line) indexer. Doing a deep dive into the single highest AWS line item was the impetus for the project, and frankly, it turned out far better than expected.
Outside of work, I run https://www.thiswebsitewillselfdestruct.com, a website I built and maintain. It really will self-destruct, and it reaches ~100k users and handles ~13M requests each month. Building tools and infrastructure to manage its moderation and keep it a positive community has been a huge learning experience.
Remote: Preferred
Willing to Locate: No
Technologies: 10 years of professional experience, working primarily in full-stack web development. I work daily in Python, FastAPI, Ruby, Rails, Sinatra, MySQL, PostgreSQL, Linux, MacOS, Docker, AWS (EC2, RDS, Elastic Beanstalk, IAM), Git. I'm familiar (Use most months) with ElasticSearch, CloudSearch, Tailwind, Vue. As Hobbies, or smaller projects (used on at least one completed project over the past five years): Go, Zig, C, C++, Rust, Phoenix, NoSQL, MongoDB, (probably more, but these were the ones that came to mind.)
My day job has me performing two main functions:
- Building full stack web development systems. I generally lean more towards writing backend code, and documenting our infrastructure. UI is my weakest area. This role has me working in datasets with ~1 billion row tables, and search indexes with ~100 million documents. Since we're a small company (~8 developers), I have been a major part of the architecture of our systems over the past 8 years. We've got five separate core businesses that our dev team supports, and I've been a part of architecting and implementing all of them. I would prefer to focus more on backend development in a future role.
- Creating one-off scripts or processes to assist in business functions. These tend to involve quickly reverse engineering undocumented web APIs we have permission to use, and querying them for our customers. At their simplest, these are a mix of writing some SQL and a few HTTP requests. At their most complicated, they have involved designing and implementing a tree structure to accurately model the business domain, and then pulling data about these structures from relevant public APIs.
- Miscellaneous tasks as they come up, recently, I reduced the cost of a company's AWS CloudSearch spend by 80% (over 10k/month) by reviewing their codebase, doing some research, and improving what they were storing and how they were doing so. This required a one-line code change on the existing codebase, and writing a new, short (~500 line) indexer. Doing a deep dive into the single highest AWS line item was the impetus for the project, and frankly, it turned out far better than expected. Outside of work, I ran https://www.thiswebsitewillselfdestruct.com, a website I built and maintain. It really will self-destruct, and it reaches ~100k users and handles ~13M requests each month. Building tools and infrastructure to manage its moderation and keep it a positive community has been a huge learning experience.
Email: Femme@Femmeandroid.com
Good luck with whatever you're working on!