Sync

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@stackychan_ In

I am creating a small group for us CS students/devs where we can discuss about career, goals, upcoming hackathons and eventually prepare together for GSoC '27 The response to this thread has been insane, and it's clear so many of us are on the exact same grind right now. Let me know who's in ⬇️

@vaishnavidotdev keep up the good work ✨

April wasn’t the most intense coding month, but I still showed up. Balancing midsems, submissions, labs, vivas, and DSA together was tougher than expected — but consistency mattered more than perfect numbers this month.

Today's Log - - solved 2x 1000 rated cf problems. - solved 2x lc problem on linked list - gave codechef contest today solved only 1 problems from that

@herooffjustice keep grinding

today I'm gonna do programming, calculus, deep learning, and maybe some philosophy :) I hope y'all have a beautiful day 🤍✨✨

Today's Log - - Solved 3x 1000 rated cf problems - Started studying linked list done with arrays and string solved 2-3 questions of linkedlist on geeks and 1 on lc

@Shrii_6 @naukripaglu @droidbuilds sorry but

Will you guys date each other? @naukripaglu @droidbuilds

@HelloVyom I read this only at the end of the whole thing u wrote

I had a Jane Street interview that felt less like an interview and more like I accidentally wandered into someone else’s thought experiment. It was round four. Not even final. The interviewer walks in, looks at me, then rotates the chair 90 degrees away from the whiteboard and sits facing the wall. No introduction. He says, “We’re going to play a game.” I say, “Okay.” He says, “You are a pigeon.” Long pause. I wait for the rest. There is no rest. So I say, “Alright.” He says, “You are a pigeon in Manhattan. You have perfect information about all crumbs in a three-block radius, but you can only remember the last five crumbs you ate.” I say, “Got it.” He says, “What is your strategy?” I start talking about greedy algorithms. Always go to the nearest crumb, minimize travel time, maximize caloric intake per second. He interrupts. “You’re optimizing locally.” I say, “Well, yes.” He says, “Pigeons don’t get paid to optimize locally.” I pivot. I say maybe we model crumb arrival as a stochastic process. Then we balance exploration and exploitation. Occasionally ignore known crumbs to discover new clusters. He spins his chair halfway toward me. Progress. “Define occasionally.” I say, “Maybe epsilon-greedy. Ten percent exploration.” He nods, then immediately says, “Too high. You’ll starve.” I say, “Five percent?” He says, “Too low. You’ll stagnate.” I say, “So somewhere in between.” He says, “That’s not a number.” I panic and say, “Seven percent.” He writes 0.07 on the board and circles it like it means something. Then he says, “Now introduce competition.” He adds: other pigeons: infinite crumbs: finite memory: still five He says, “What changes?” I say we need to account for adversarial behavior. Maybe other pigeons front-run known crumb locations. He says, “They do.” I say then we should randomize paths to avoid being predictable. He says, “They randomize too.” I say, “Then… we need better information.” He says, “You already have perfect information.” That one lands. So I say the edge must come from execution, not information. Faster arrival, better pathing, maybe committing to a niche region and dominating it. He fully turns around now. “Define dominate.” I say, “You consistently arrive first to crumbs in your region.” He says, “At what cost?” I say, “Opportunity cost of missing crumbs elsewhere.” He nods. Then he says, “Now assume crumbs decay in value over time.” I say, “Like… they get eaten?” He says, “Or stepped on.” I say, “Okay.” He says, “What’s your pricing model?” I laugh a little because pigeon pricing model sounds absurd. He does not laugh. So I say each crumb has a time-dependent value function. The longer it sits, the less it’s worth. So we discount based on expected delay. He says, “Write it.” I write something hand-wavy like value equals base times e to the minus lambda t. He stares at it for a while. Then he says, “What’s lambda?” I say, “Decay rate.” He says, “No. What’s lambda.” I realize he wants a number again. I say, “Depends on foot traffic.” He says, “Assume Midtown at lunch.” I say, “High.” He says, “That’s not a number.” I say, “Okay… 2?” He writes 2 next to it and underlines it twice. Then he says, “Now you have a choice.” He writes two options: guaranteed crumb now worth 5 expected crumb in 10 seconds worth 12 with probability 0.6 He says, “Which do you take?” I say expected value of the second is 7.2, so take the second. He says, “You hesitated.” I say, “A little.” He says, “Why?” I say because of risk. He says, “You’re a pigeon.” I say, “Right.” He says, “Do pigeons hedge?” I say, “No.” He says, “Exactly.” Then he erases the board completely. He turns back and says, “Final question.” I brace. He says, “How many pigeons are there in Manhattan?” I start doing the usual estimation. Area, density, food availability. Halfway through he stops me. “You don’t care about pigeons.” I say, “I thought I was a pigeon.” He says, “You are.” Pause. Then he says, “But you trade pigeons.” That’s when I knew I was completely off. I try to recover. I say then we should estimate supply and demand for pigeons, maybe based on tourism, food waste, urban density. He nods slightly. Then he asks, “Are you long or short?” I say, “Long pigeons?” He says, “Why?” I say, “Because there are a lot of crumbs.” He says, “Crumbs are decreasing.” I say, “Then short pigeons.” He says, “Too late.” Silence. He writes something down, stands up, and says, “Thanks for coming in.” I never heard back. all of this is cooked up

@AnshikaK7 Ye aap itni sundar jagah mei rehti ho?

Serene 🌕

@ItsHeisenberg04 Ha bhai pura inbox bhar diya tha 😭

@syntaxraw Mai bhi band krdunga Bhadwe jab dekho mail bhejte rehte

Kya chutiya app hai ye

@thatssovaibhav room so pretty ✨️

swirling some red

@herooffjustice thanks dude ❤️🥹

@syntaxraw you do 🫵✨ I know you can, you're bigger than these problems Have some belief 👊

today I'm gonna revise combinations & probability, deep learning, continue simulation, and philosophy So much to learn ✨ Have a beautiful day y'all 🤍✨✨

Today's Log - - Solved 2x 1000 rated cf problems. - Solved 2x lc easy problems on string. i'll have to study for ends sems too i'm done fr. idk why i'm avoiding study for that

Calculas

@HelloVyom Jain street 🤡

Enroll in this bootcamp and you'll def be working at Jain Street, Opliver & TRT one day 🤞

@Palakonweb wo aapka keyboard mujhe dedo 😋

Daily log Day-4 >Travelled in a freaking 45°C > Attend lectures >Work work >project in progress

@Shrii_6 You did this already by showing it here 🤡

How Abt doing this trend on x? 😭

Someone is cooking something hard