[ghall]

@TaariqLewis, thanks for posting! Let's catch up soon!

Team, I'm the author/owner of the repo and would be happy to answer questions.

We were inspired by the concept some fellow MIT alumni used to win the DARPA red balloon challenge, using a Query Incentive Network to provide superior scale and reach with a distributed payout structure. Results have been very strong so far, here is some more detail on the theory: https://blog.rezscore.com/the-red-balloon-experiment-fab19a0...

We'd love to get your thoughts and questions on the concept, particularly as it comes to how to best organize this new GitHub repo to best help you in your job search.

[stared]

An interesting idea, but even with Markdown it is hardly readable.

Myself, I gathered a few lists, and what worked:

- bigger Markdown files https://github.com/stared/science-based-games-list

- YAML files(s), as in https://github.com/stared/interactive-machine-learning-list (see websites.yaml)

The first one is slightly better for seeing many positions than clicking on every single entry.

YAML was my second approach, and it worked even better - much easier to enforce a schema, a possibility to visualize however one wants, etc.

[ghall]

Thank you for sharing, I like the YAML approach and we'll work on this next

[gwbas1c]

Is there an easier way to read the job postings?

Overall, the repo is very easy to navigate. The challenge is that the .txt files aren't .txt files. They're markup.

Perhaps:

- Use an extension other than .txt to communicate that it's markup

- Generate a website where these postings are easier to read

[ghall]

Thanks for the tip -- another user commented this as well, so we switched over to .md Markdown format. Shoot us a note and let us know if this looks better.

[gwbas1c]

Significantly easier! Thanks!

[xmzx]

why no LA, lol

[ghall]

Stay tuned, we talked with somebody earlier through this who has some LA jobs to add, probably next week.