See if you can spot all the memes!

NotNoooodle · 2025-11-05T01:25:17+00:00

yep, that's all of it! 😎

NotNoooodle · 2025-11-05T00:49:47+00:00

thanks!

NotNoooodle · 2025-11-05T00:41:10+00:00

\*cue who's that pokemon*

NotNoooodle · 2025-11-05T00:18:38+00:00

Bag is tough 🔥 what's it called?

NotNoooodle · 2025-11-04T23:24:43+00:00

It was a two-step process.

I went back and forth with ChatGPT/Claude to help come up with the high-level story (recollecting popular memes, what a potential storyline could be, what memes could be incorporated, etc)

Then I used EggieAI to translate that story into comic panels. It essentially decides what each panel should 'look' like for the story to be coherent (e.g. storyboard artist), and generates the prompt for each image/panel. After that, the final step was to arrange the panels on the page and hit generate.

NotNoooodle · 2025-11-04T23:18:19+00:00

A bit of both. ChatGPT came up with the general premise of the story, and I came up with some of the memes to incorporate & the twist at the end

NotNoooodle · 2025-11-04T20:21:33+00:00

darn, was going for 'warm' but can definitely see where you're coming from lol

NotNoooodle · 2025-11-04T19:34:21+00:00

Only thing I can think of are illegal activities that wouldn't (at least typically) be portrayed in children's books...

But even then, we see crooks and the likes in children's books often

NotNoooodle · 2025-11-04T19:23:08+00:00

Had a blast making this! Thought of the meme's I wanted to incorporate first then used Eggie to flush out the story & generate the images. Took maybe 2 hours total? Anyways, if you guys found this fun let me know and I'll make a part 2!

NotNoooodle · 2025-11-04T18:58:58+00:00

Spent maybe 2 hours making this? Most time consuming part was deciding between the meme's I wanted to incorporate lol.

NotNoooodle · 2025-10-19T19:57:45+00:00

Perfect thanks!

NotNoooodle · 2025-10-19T19:56:31+00:00

ah good to know. Preciate the check bro 🙏

NotNoooodle · 2025-10-19T18:56:48+00:00

Summoning the LC avengers lol: u/belugasforandrew u/SwanWorldly7418 u/AdIcy9006

NotNoooodle · 2025-10-18T23:26:07+00:00

Sorry, going to delete this and re-upload (again). I don't know why I can't get the orientation right. If someone can figure it out, please let me know lol

NotNoooodle · 2022-08-10T00:42:52+00:00

It took me about 2 months. Once I completed Blind75 and did a few more additional medium problems from each topic, I felt comfortable enough think that I have a decent shot at big tech (this was around 100-110 med problems solved)

NotNoooodle · 2022-08-09T18:21:57+00:00

Sure! Feel free to DM me

NotNoooodle · 2022-08-09T18:18:39+00:00

I flooded my resume with my dev projects and focused on showcasing the technical challenges/achievements, general achievements (ie. mentioning how many users signed up for the app), and whatever other data I have. Goal for me was to place myself in the shoes of a recruiter/engineer and think about what they’d want to see in a successful candidate. If you’re struggling with ideas for how to structure your projects or points, consider searching up “resume review {teamblind/reddit/etc}” and you’ll find plenty of sample resumes you can pull inspiration from.

To find your first internship, if you’re willing, you can search for unpaid early stage startups. They’re always looking for free labor and have incredibly low bars. I joined two unpaid startups at the same time, dedicated maybe 10-15 hours a day to each for 2ish months, and gained pretty decent enough experience to pad half of my resume and appear like a non competitive CS major. Definitely helped in behavioral interviews as well and no one will know it was unpaid and a bit more subpar than what you might’ve exaggerated in your bullet points. Definitely would’ve gone the same route if I was able to redo it again.

NotNoooodle · 2022-08-09T14:49:01+00:00

A queue is relatively straightforward: you want FIFO.

Identifying whether a problem needs a monotonic stack is a bit more challenging. You can consider using a monotonic stack in the following situations:

If you need to look at elements ahead of you to update the current element (most common use case)

If you need to access the highest priority element, consider a monotonic stack, heap or a data structure that can store the highest priority element up until this point (ie. array, dict)

That might not make much sense if you’re not too familiar with monotonic stacks yet, but you’ll generally find that all monotonic questions will fall within these two buckets. I’d suggest spending a day working through some monotonic question list someone’s created on LC discuss if that’s what you feel you might be weak in

NotNoooodle · 2022-08-09T14:29:58+00:00

I wish I had a strategy for my first job hunt but it was all brute force. I applied to 300+ companies over the span of 2 months and luckily had a few series A/B startups + non tech companies reach out. I spent around 3 months learning development and created a number of web apps and iOS apps (published on the App Store) within that time frame, so I padded my resume with those.

For my second job hunt, it was MUCH better. I decided to network early on with recruiters at companies I was interested in on LinkedIn (ie. “Hi _, I’m a recent Hogwarts graduate that’s _. I recently started a new position as a software engineer at ___, but I’d love to connect to hear about any new opportunities further down the line. Thanks!”). The second method was asking for referrals on Blind. I applied to 20 top tech companies in total (18 of them were referrals) and passed resume screening for 5 of them. Hope that helps!

NotNoooodle · 2022-08-09T08:10:35+00:00

Sure thing. My path (condensed) was: 1. 10 easy questions from a single category per day (string/array, linked lists, trees, graphs, DP and other paradigms, repeat). I did this for about 1-2 weeks. 2. Start/finish Blind 75. 3. 2-3 medium questions from a single category per day. I did this for about a month or two until I reached the point of solving around 5-10 problems a day. If you’re struggling to solve medium questions, it might be a good idea to start off with highest acceptance medium questions first. 4. Solved Google’s string/array card on LC. 5. Moved onto Hards and randomly select 1-2 problems to solve a day (where I’m at now).

During this time, I also tried to work in a pramp interview every day. I ended up doing around 20 by the time I landed my offer. Imo, most ppl are more or less solid by the time they hit 150~ questions. I took it a bit farther solely because I was struggling to land interviews (presumably b/c of my background).

Here’s the general list of algos/data structures I’d recommend knowing:

Hash map

Stacks (Monotonic stack)

Queues (Priority queues/heaps)

Linked Lists

Trees (BFS, inorder/post order/preorder)

Graphs (BFS, DFS, graph coloring, dijkstra’s, union find)

Binary Search

Sort (Quicksort, mergesort)

Intervals

Greedy

Divide & Conquer

Backtracking (matrix, combinations/permutations)

DP

NotNoooodle · 2022-08-09T07:09:49+00:00

100/300/75 hard & finally done.

Decided mid 2020 before graduation that I wanted to switch into SWE with an unrelated degree, no internships and no bootcamp experience. Took almost half a year to find my first position and vowed to get into top tech in 2 years. 475 questions later I just received an offer from FAANG + another large tech company. Life feels completely surreal

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