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robertdimarco
puzzles
Shell2017–2021
robertdimarco / puzzles

puzzles

Gotta stay sharp.

3Distinct people
3Mentions
0Explicit recommenders
41GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Gotta stay sharp.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year3 dated mentions

Observed mentions: 2017-10-09 18:11:42 UTC to 2021-09-24 18:43:20 UTC.

0122017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC211
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101

What Hacker News says

3 sources
I was 27, living in the Southern USA with a MS from a State University, feeling very similar to you. I decided to push through my comfortable malaise and got offers at early Amazon AWS & Facebook back in 2009. It changed my life trajectory completely. I worked a little bit harder but got exponentially better payoff and interesting problems. Recommendations: 1. Getting into a more prestigious company is likely your next step. You only need to stay there 2-4 years but, since colleges are more corrupt, it's really the modern grad degree that proves your worth. FAANG or a reputable startup is your best option (LinkedIn Top 50 or Breakout List). The crazy hours you hear about are more self-imposed than you think, not mandatory. 2. If FAANG isn't calling you back, this means that you likely weren't even close on the interviews (Medium to
Read the rest
Strong - No Hire). The interview algorithms are a heavily game-ified system and these companies expect you to study and game them so hard that answering the questions are second nature. I used to resent this, then I realized that it's actually a really good way to filter a large group of people with less class bias. If anyone can pass but they have to create their own 2-4 month gradual study plan to ace it, who is competent enough to pull that off? Often, in a larger org, you are encouraged to ignore your instincts and game-ify on arbitrary metrics to achieve larger-multistage company goals anyways. Adjusting my mindset this way helped me get the fortitude I needed to be better here. 3. Coding Competitions are another good way to get noticed by companies. The existing algo interviews started as NP-complete puzzles and Coding competitions and many people came to Facebook from that route (https://github.com/robertdimarco/puzzles/tree/master/faceboo...). Kaggle is the new equivalent for ML. It's a great time to get into ML via a non-traditional route and will likely turn into the existing algo interview frustration as it matures.
In Ask HN: How do I move up my career/life?
Only slightly related, but does anyone remember the code puzzles that FB had as a filter for the interview process? Specifically one (jurassic island?) where you would connect to a shared server and take control of a dinosaur on the island. Eventually when you gathered enough energy to lay an egg, you could spawn another connection to control that dino. I had no hope of having a competitive score on the leaderboard, but I loved playing around with that little world. Edit: Found more info on dinosaur island: https://github.com/robertdimarco/puzzles/tree/master/faceboo...
In Facebook Quietly Enters StarCraft War for AI Bots

MAKE YOURSELF AT HOME

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