In Jan 2022, I wasted 3 months no-life grinding @LeetCode and ended up with 3 decent offers (all software eng):
- $250k+ from @Uber
- $270k+ from @Affirm
- $260k+ from @gopuff
and then a bunch more 200k+ offers.
5 lessons i learned:
before we start..
no, I don't I have a leetcode course to sell you, i'm cheap af and used YT to interview prep (you can too!)
why am i writing this? my ego is heavily tied to follower # on this bird app, so click that lil' follow button @pwang_szn
tldr; leetcode is basically sudoku in tech interview world
if you're decent at leetcode, you can make 250k+ in tech
To give some background, at this time, I already had an easy software eng job that paid 200k+.
So why even start interview?
I wanted more money.
Most people won't admit it, but from my experience people really only switch jobs for more money OR the work is not worth the money.
//1: Focus on Fundamentals
There are 2000+ problems on Leetcode, but only 10-15 basic data sturcture/algos to use in interviews.
topics like: Arrays, Sorting Algorithms, Trees etc
So the trick is to do the same 150-200 problems on repeat until you know them in ur sleep.
// 2: Get Good at Acting
the entire interview process is a charade.
- act like its the first time seeing the problem (even if you've solved it 5+ times while prepping)
- purposely make bugs so you can "fix them" to show that you are a good problem solver
// 3: Cheat
you wanna be broke or cheat?
i don't mean cheat in the interviews but use resources in the wild!
> 1point3acres: chinese forum where entire interview Qs are posted. Use G-Translate or make a chinese friend :)
> Leetcode Discuss: ppl post direct interview Qs lol.
// 4: Get Good at Storytelling
50% of the interview is based on your tech skills but more 50% is on "behavioral" aka how you work w/ other ppl.
The trick is to have 4-5 good stories that you can use for any question and you mold the story to fit the interviewer's Q
P.S - ✨ I wrote this FREE step-by-step mini-course guide to start coding with A.I
"How I 100% Automated Generating Subtitles for buildfastcourse.com module videos"
1. Setup a @zapier to trigger when new video is added 2. Setup automation in @Dropbox to convert .mp4 to .wav 3. Use @DeepgramAI to generate transcript, convert to .srt format on Django server
Goal:
💬 Generate 95%+ accurate transcription for all the videos w/o paying some other service for overpriced human transcription that can cost >$1.5 per minute
Technical choice:
>> 🤖 Using Zapier bcuz I don't want to maintain webhooks on my server
1/ Whenever a new .wav file is added in Dropbox
We trigger an action to call our server's API to start the process of generating the transcript.