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Vetted | Backend Engineer, Data Engineer | Remote | Full Time Vetted is a product search engine that helps people be savvy shoppers. Our technology automates the intensive research process required to make smart purchasing decisions in today’s overwhelming shopping experience. We recently raised our series A and have an ambitious vision to rewire commerce to empower consumers and direct the world’s purchasing intent.

The Senior Software Engineer/Tech Lead on the Search Infrastructure team is responsible for maintaining and developing Python and Typescript code that Vetted's search infrastructure runs on. Accordingly, you will ideally be very strong in Python and either be strong in Typescript or willing to learn. No front-end development experience is required, though full-stack experience is a slight plus

More details here: https://jobs.lever.co/vetted/b176bb67-1e6d-4e66-aa6d-b34c836...

Email me at stuart@vetted.ai if interested.

Lustre | Backend Engineer, Data Engineer | Remote | Full Time

Our mission at Lustre is to create savvy shoppers. We’re building a product search engine that automates the product research process so people can buy the truly best products for them without all the gruntwork. There’s a huge amount of technology powering Lustre; automated web scraping, real time pricing, knowledge graph generation, product ranking neural nets as well as core storage/serving infrastructure.

We’re looking for senior backend generalist engineers capable of owning entire sub-systems. We prefer language-agnostic devs capable of both learning new technologies where needed as well as pragmatically executing on existing infrastructure.

More details here: https://jobs.lever.co/lustre/61ca1a55-e665-46b7-8703-01c9ba3...

Email me at stuart@lustre.ai if interested.

Lustre | Backend Engineer, Data Engineer | Remote | Full Time Our mission at Lustre is to create savvy shoppers. We’re building technology to automate the product research process so people can buy the truly best products for them without all the gruntwork. There’s a huge amount of technology powering Lustre; automated web scraping, real time pricing, knowledge graph generation, product ranking neural nets as well as core storage/serving infrastructure.

We’re looking for senior backend generalist engineers capable of owning entire sub-systems. We prefer language-agnostic devs capable of both learning new technologies where needed as well as pragmatically executing on existing infrastructure.

More details here: https://jobs.lever.co/lustre/61ca1a55-e665-46b7-8703-01c9ba3...

Email me at stuart@lustre.ai if interested.

Lustre | Backend Engineer, Data Engineer | Remote | Full Time

Our mission at Lustre is to create savvy shoppers. We’re building technology to automate the product research process so people can buy the truly best products for them without all the gruntwork. There’s a huge amount of technology powering Lustre; automated web scraping, real time pricing, knowledge graph generation, product ranking neural nets as well as core storage/serving infrastructure.

We’re looking for senior backend generalist engineers capable of owning entire sub-systems. We prefer language-agnostic devs capable of both learning new technologies where needed as well as pragmatically executing on existing infrastructure.

More details here: https://jobs.lever.co/lustre/61ca1a55-e665-46b7-8703-01c9ba3...

Email me at stuart@lustre.ai if interested.

Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net. We are hiring software engineers for our knowledge graph. You don't need any ML or graph database experience, we're mostly looking for strong backend generalists. Some examples of the type of tasks you'll be doing:

* Automatically process massive amounts of structured data.

* Understand the context of the information to create useful connections to aid in predicting the best products.

* Research and implement new traversals of our knowledge graph to gain more leverage from our data.

* Communicate with the machine learning team to get them the data they need for improving recommendations.

* Implement API routes for serving knowledge graph data to the frontend.

* Write and maintain thorough unit and integration tests.

An ideal candidate will:

* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering

* Have 4+ years experience building out backend services (bonus points for ops knowledge).

* Enjoy digging through data to solve problems and find new optimizations.

* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals

Email me at stuart@lustre.ai if interested.

Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net. We are hiring software engineers for our knowledge graph. You don't need any ML or graph database experience, we're mostly looking for strong backend generalists. Some examples of the type of tasks you'll be doing:

* Automatically process massive amounts of structured data.

* Understand the context of the information to create useful connections to aid in predicting the best products.

* Research and implement new traversals of our knowledge graph to gain more leverage from our data.

* Communicate with the machine learning team to get them the data they need for improving recommendations.

* Implement API routes for serving knowledge graph data to the frontend.

* Write and maintain thorough unit and integration tests.

An ideal candidate will:

* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering

* Have 4+ years experience building out backend services (bonus points for ops knowledge).

* Enjoy digging through data to solve problems and find new optimizations.

* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals

Email me at stuart@lustre.ai if interested.

Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net. We are hiring software engineers for our knowledge graph. Some examples of the type of tasks you'll be doing:

* Automatically process massive amounts of structured data.

* Understand the context of the information to create useful connections to aid in predicting the best products.

* Research and implement new traversals of our knowledge graph to gain more leverage from our data.

* Communicate with the machine learning team to get them the data they need for improving recommendations.

* Implement API routes for serving knowledge graph data to the frontend.

* Write and maintain thorough unit and integration tests.

An ideal candidate will:

* Have experience with graph database technology (or a willingness to learn)

* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering

* Have 4+ years experience building out backend services (bonus points for ops knowledge).

* Enjoy digging through data to solve problems and find new optimizations.

* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals

Email me at stuart@lustre.ai if interested. We are also hiring for:

* Director of engineering

* Scraping infrastructure lead

* Scraper engineer

Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net. We are hiring software engineers for our knowledge graph. Some examples of the type of tasks you'll be doing:

* Automatically process massive amounts of structured data.

* Understand the context of the information to create useful connections to aid in predicting the best products.

* Research and implement new traversals of our knowledge graph to gain more leverage from our data.

* Communicate with the machine learning team to get them the data they need for improving recommendations.

* Keep an eye out for new technologies and data sources that can automate tasks or improve the quality of our data.

* Implement API routes for serving knowledge graph data to the frontend.

* Write and maintain thorough unit and integration tests.

An ideal candidate will:

* Have experience with graph database technology (or a willingness to learn)

* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering

* Have 4+ years experience building out backend services (bonus points for ops knowledge).

* Enjoy digging through data to solve problems and find new optimizations.

* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals

Email me at stuart@lustre.ai if interested.

Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net.

We are hiring software engineers for our knowledge graph. Some examples of the type of tasks you'll be doing:

* Automatically process massive amounts of structured data.

* Understand the context of the information to create useful connections to aid in predicting the best products.

* Research and implement new traversals of our knowledge graph to gain more leverage from our data.

* Communicate with the machine learning team to get them the data they need for improving recommendations.

* Keep an eye out for new technologies and data sources that can automate tasks or improve the quality of our data.

* Implement API routes for serving knowledge graph data to the frontend.

* Write and maintain thorough unit and integration tests.

An ideal candidate will:

* Have experience with graph database technology (or a willingness to learn)

* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering

* Have 4+ years experience building out backend services (bonus points for ops knowledge).

* Enjoy digging through data to solve problems and find new optimizations.

* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals

Email me at stuart@lustre.ai if interested.

Lustre (https://lustre.ai/) | Software Engineer (Knowledge Graph) | Full-time | Remote

Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net.

We are hiring software engineers for our knowledge graph. Some examples of the type of tasks you'll be doing:

* Automatically process massive amounts of structured data.

* Understand the context of the information to create useful connections to aid in predicting the best products.

* Research and implement new traversals of our knowledge graph to gain more leverage from our data.

* Figure out efficient ways to incorporate human-in-the-loop curation for tasks that cannot be automated.

* Communicate with the machine learning team to get them the data they need for improving recommendations.

* Keep an eye out for new technologies and data sources that can automate tasks or improve the quality of our data.

* Implement API routes for serving knowledge graph data to the frontend.

* Write and maintain thorough unit and integration tests.

An ideal candidate will:

* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering

* Have 4+ years experience building out backend services (bonus points for ops knowledge).

* Enjoy digging through data to solve problems and find new optimizations.

* Have strong communication skills - this role will work with both the product & ML teams to understand their problems/goals

Email me at stuart@lustre.ai if interested.

Lustre | Lead Knowledge Graph Engineer | Full-time | Remote

Lustre provides incredibly reliable product recommendations to help people choose what to buy. One of the most critical components in our system is the knowledge graph that processes our scraped data and transforms it into highly structured and contextualized input to our neural net.

You'll be the lead engineer on the knowledge graph. Some examples of the type of tasks you'll be doing:

* Automatically process massive amounts of structured data.

* Understand the context of the information to create useful connections to aid in predicting the best products.

* Research and implement new traversals of our knowledge graph to gain more leverage from our data.

* Figure out efficient ways to incorporate human-in-the-loop curation for tasks that cannot be automated.

* Communicate with the machine learning team to get them the data they need for improving recommendations.

* Keep an eye out for new technologies and data sources that can automate tasks or improve the quality of our data.

* Implement API routes for serving knowledge graph data to the frontend.

An ideal candidate will:

* Be a capable problem solver who enjoys identifying business problems you can solve with thoughtful engineering, 3rd party APIs, or incorporating ML.

* Have 4+ years experience building out backend infrastructure.

* Enjoy digging through data to solve problems and find new optimisations.

* Be a good team player as this role will require good communication with both the product & ML teams to understand their problems/goals.

stuart@lustre.ai for more information.

Go look at the "discounts" on Wish vs the Amazon prices. Big company now, 100% lying directly to the consumer.

If users hate these, shouldn't google's ability to rank the best pages already take care of this problem without special casing it?

I'm biased but we found that it's so incredibly rare that a single person has extensive experience with all the options, esp when it comes to electronics. We went in a different direction than reviews, slightly more collaborative:

https://www.slant.co/topics/341/~2d-game-engines

edit: another problem with a single person owning the comparison is keeping it up to date.

So we built slant.co with the philosophy that all the reading should work ok with JS off, but the contributing systems require JS. The problem is testing, we're a tiny team so I'm not sure the last time we made sure the no js experience works as expected.

Agreed, unfortunately Slant isn't really designed perfectly for this sort of question. We typically deal with things with more emphasis on the Pros/Cons like comparing Linux distros.

Are you referring to honestandroidgames?

I built a crowdsourced version of that general idea: http://www.slant.co/topics/3480/~ios-games-without-in-app-pu...

Slant - San Francisco, CA - FULL TIME

We're building a community driven resource to help people choose what products to use. Our vision is to own the consumer experience for discovering products and deciding which one to purchase. We’re currently a small team of three: two experienced developers and a “non-technical” founder whose last job was building satellites for NASA. Our tech Backbone-based front-end, with improvements to allow it to run on both client- and server- side, and as both a single- and multi- page app. RESTful backend written in functional Coffeescript on Node.js, with a temporal postgres database that allows for rewinding to a previous state. The codebase is written in Coffeescript, Jade, and Stylus. Entertaining git history. Gratuitous use of Monads.

We're a multidisciplinary team, so we'd love to hear from full-stack/frontend/backend engineers as well as designers familiar with html/css. We're optimizing more for hiring someone talented, rather than for a specific role. If you’re interested in learning more, email me at stuart@slant.co

Building something along these lines. For example: http://www.slant.co/topics/186/~what-are-the-best-hosted-con...

Slant - San Francisco, CA - FULL TIME

Slant tells people what they should buy. Our vision is to own the consumer experience for discovering products and deciding which one to purchase. We’re currently a small team of three: two experienced developers and a “non-technical” founder whose last job was building satellites for NASA. A major revision to the current product is in the works, but you can see a live version here: www.slant.co. Some info on our investors/advisors: https://angel.co/slant Our tech Backbone-based front-end, with improvements to allow it to run on both client- and server- side, and as both a single- and multi- page app. RESTful backend written in functional Coffeescript on Node.js, with a temporal postgres database that allows for rewinding to a previous state. The codebase is written in Coffeescript, Jade, and Stylus. Entertaining git history. Gratuitous use of Monads.

We're a multidisciplinary team, so we'd love to hear from full-stack/frontend/backend engineers as well as designers familiar with html/css. We're optimizing more for hiring someone talented, rather than for a specific role. If you’re interested in learning more, email me at stuart@slant.co

Slant - San Francisco, CA - FULL TIME

Slant tells people what they should buy. Our vision is to own the consumer experience for discovering products and deciding which one to purchase.

We’re currently a small team of three: two experienced developers and a “non-technical” founder whose last job was building satellites for NASA. A major revision to the current product is in the works, but you can see a live version here: www.slant.co. Some info on our investors/advisors: https://angel.co/slant

Our tech Backbone-based front-end, with improvements to allow it to run on both client- and server- side, and as both a single- and multi- page app. RESTful backend written in functional Coffeescript on Node.js, with a temporal postgres database that allows for rewinding to a previous state. The codebase is written in Coffeescript, Jade, and Stylus. Entertaining git history. Gratuitous use of Monads.

We're a multidisciplinary team, so we'd love to hear from full-stack/frontend/backend engineers as well as designers familiar with html/css. We're optimizing more for hiring someone talented, rather than for a specific role. If you’re interested in learning more, email me at stuart@slant.co

Slant - San Francisco, CA - FULL TIME - Who we are: Slant tells people what they should buy. Our vision is to own the consumer experience for discovering products and deciding which one to purchase.

We’re currently a small team of three: two experienced developers and a “non-technical” founder whose last job was building satellites for NASA. A major revision to the current product is in the works, but you can see a live version here: www.slant.co. Some info on our investors/advisors: https://angel.co/slant

- Our tech Backbone-based front-end, with improvements to allow it to run on both client- and server- side, and as both a single- and multi- page app. RESTful backend written in functional Coffeescript on Node.js, with a temporal postgres database that allows for rewinding to a previous state. The codebase is written in Coffeescript, Jade, and Stylus. Entertaining git history. Gratuitous use of Monads.

- What we're looking for We're a multidisciplinary team, so we'd love to hear from full-stack/frontend/backend engineers as well as designers familiar with html/css. We're optimizing more for hiring someone talented, rather than for a specific role. If you’re interested in learning more, email me at stuart@slant.co

On mac it's just cmd + `

Create a chrome user for each google account. There is then a hotkey for quickly switching between users.

(couldn't reply to the child comment)

Only some minor points, for the rest I really like the interface and functionality:

Thanks :) Do you like what we did with the sources? (example: http://bit.ly/1va9Aj6. The favicons act like tabs if you didn't notice)

- it's a tad confusing that in a list with questions every question has 3 links. Two of them are the same (queston title itself 'See All Options') so I'd remove the latter as it doesn't really add anything useful imo.

Good point. I'll double check with the analytics in the morning and see if we can simplify.

- it's not clear to me what the 'Best' sorting option means

It's very opaque at the moment as I'm experimenting with various sorting algorithms almost weekly. Once I nail something down I'll work on the UI transparency.

- a built-in way to link questions wouldn't be bad. For example there's a 'What are the best over-ear headphones under $200?' but also a 'What are the best over/on ear headphones around $300?' and in the latter the Sennheiser HD598 wins while it doesn't in the former. Something like a 'This is Related To' button which then pops up something similar to SO's duplicate question window.

We're building this! Not only "this is related to" but the ability to easily sync/add pro's from one occurrence of an option to another. (Yep, I'm aware of the potential issues with changing context, it's not going to be an auto sync, more like "suggested pros/cons/sources")

- which reminds me: not sure if it can be done but eventually you'll probably need a way to remove or rather merge duplicates

This is part of the same flagging project I'm in the middle of.

- just figured that after adding a pro, I still have to vote for it. It would make sense to do this automatically?

I keep going back and forth on this. A lot of people add pros/cons to be good community members, not necessarily due to them personally agreeing with them. I think it will end up being a checkbox that's enabled by default.

Thanks so much for taking the time to help us out! I'll keep working away until you describe Slant as "amazing" instead of "ok" :)

(btw if you want to help us shape the product even further we have a meta.slant.co)

I'm honestly really sorry about that, we're in the middle of building a flagging system at the moment. Up until now we typically have been using the comment to moderate but this is obviously really inefficient.

I removed that option, thanks for pointing that out. We have a long way to go on the moderation side of things.

Anything else you don't like/wish we had?

I started slant.co for this.

Closed question: http://programmers.stackexchange.com/questions/2254/what-are...

Open Question: http://www.slant.co/topics/1150/~what-are-the-best-keyboards...

I helped write a comparison of the Android Reddit apps here (http://www.slant.co/topics/1157/~what-are-the-best-reddit-cl...)

Are you referring to the comment threads on the answers?