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Hey you'd probably like a project I've built - https://discoverdev.io https://discoverdev.io I've created a system that crawls 100s of engineering blogs and p

Hey you'd probably like a project I've built - https://discoverdev.io https://discoverdev.io I've created a system that crawls 100s of engineering blogs and picks out 8-12 posts good links every day. I then tag and publish them. You may find publications you like by going through the archive!

pkjc 9y ago
Interesting project! I'm curious about how the 8-12 good links are picked. Do you do it manually out of the collected links or is it an automated process? If automated, would you mind sharing how it's done?
mubaris 9y ago
This project is very good. Thanks :)
- deepakkarki 9y ago
  Glad you liked it! I do put quite a bit of work into it on a daily basis :)
  - nburr 9y ago
    Very cool! Definitely bookmarking.
aaronmu 9y ago
Sweet!
JKCalhoun 9y ago
Brutal(ist). I like it.
eps 9y ago
Do you accept blog suggestions?
- deepakkarki 9y ago
  Sure! I should probably add a button there on the website. For now you can just mail me via the "contact" link.
mailshanx 9y ago
Wow, the quality of articles is excellent! How did you go about collecting a dataset for your ML model?
steveeq1 9y ago
This is interesting. Do you have the source code for this somewhere?
- deepakkarki 9y ago
  No clue why you're down voted, but no as of now the source code is not open. It's a bunch of small / medium sized scripts I've tied together to run the system - I don't think open sourcing it would make sense. Unless of course I spend a bunch of time documenting and structuring the code. Time I unfortunately don't have right now :( But perhaps in the next couple of months!
tomascot 9y ago
You could check this repo for more sources: https://github.com/kilimchoi/engineering-blogs https://github.com/kilimchoi/engineering-blogs That's what's left from a similar site to yours
binarray2000 9y ago
Thank you very much for this. It is very good! May I suggest a feature: Clickable tags. That way one could find all related articles you've found.

pkjc 9y ago

Interesting project! I'm curious about how the 8-12 good links are picked. Do you do it manually out of the collected links or is it an automated process? If automated, would you mind sharing how it's done?

mubaris 9y ago

This project is very good. Thanks :)

deepakkarki 9y ago
Glad you liked it! I do put quite a bit of work into it on a daily basis :)
- nburr 9y ago
  Very cool! Definitely bookmarking.

aaronmu 9y ago

Sweet!

JKCalhoun 9y ago

Brutal(ist). I like it.

eps 9y ago

Do you accept blog suggestions?

deepakkarki 9y ago
Sure! I should probably add a button there on the website. For now you can just mail me via the "contact" link.

mailshanx 9y ago

Wow, the quality of articles is excellent! How did you go about collecting a dataset for your ML model?

steveeq1 9y ago

This is interesting. Do you have the source code for this somewhere?

deepakkarki 9y ago
No clue why you're down voted, but no as of now the source code is not open. It's a bunch of small / medium sized scripts I've tied together to run the system - I don't think open sourcing it would make sense. Unless of course I spend a bunch of time documenting and structuring the code. Time I unfortunately don't have right now :( But perhaps in the next couple of months!

tomascot 9y ago

You could check this repo for more sources: https://github.com/kilimchoi/engineering-blogs https://github.com/kilimchoi/engineering-blogs That's what's left from a similar site to yours

binarray2000 9y ago

Thank you very much for this. It is very good! May I suggest a feature: Clickable tags. That way one could find all related articles you've found.