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@randome_dev

Hmm what should I put here? I like tech

Katılım Ağustos 2025
84 Takip Edilen19 Takipçiler
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Hari
Hari@randome_dev·
Wrote and posted my first tech blog in medium pls do give it a read and suggest any improvements that should be done. @randomedev/gil-in-python-the-lock-that-makes-and-breaks-it-cbc87c30cb17" target="_blank" rel="nofollow noopener">medium.com/@randomedev/gi…
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Hari
Hari@randome_dev·
@deedydas How does hyperliquid have more profit per employee than revenue
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Deedy
Deedy@deedydas·
Jane Street made ~$40B in 2025 with 3,500 employees, a ~2x from the year before. At ~65-70% profit margin, that's $8M profit / employee, the highest for a 1000+ ppl company. High-frequency trading continues to be the most efficient money making engine. I want to share an old story about my Jane Street interview in 2014. Jane Street was known for hiring a lot of math, physics and CS olympiad winners from top universities and putting them through many rounds - including, for trading roles, a gauntlet of mental math. It was my 6th interview and my final round and I recall being asked "What is the next day after today in DD/MM/YYYY where all the digits are unique?" They'd toy with you and say "You can use a pencil and paper, if you want" but you knew that was an instant no. Painstakingly and as quickly as I could, I came to an answer. "How confident are you that this is correct on a 0-1 probability scale?" the interviewer said. "0.95", I blurted out, not fully knowing how to answer that. "Are you sure?" After thinking harder for a few more seconds, I realized I could've flipped the digits around to get a closer date. I gave the interviewer my answer. It was correct. "0.95 huh?" he chuckled. That's when I knew I failed. Note: fwiw, other companies that come close in efficiency are - Tether ($90M+ profit/emp) - Hyperliquid ($80M+ profit/emp) and on revenue: - Valve ($50M/emp) - OnlyFans ($37M/emp) - Craigslist ($14M/emp) - Anthropic ($12M/emp, run rate) - OpenAI ($8M/emp, run rate) For comparison, Nvidia is very efficient at scale and is $4.4M/emp.
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Hari
Hari@randome_dev·
@theo Ironic thing is the laliga football matches are still avilable to stream for free at many places
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Theo - t3.gg
Theo - t3.gg@theo·
Spain's egregious Cloudflare blocks are breaking Docker now 💀
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Hari
Hari@randome_dev·
@paraschopra Mp3 player and phone are hardware so users dont have to carry different physical thing but in case of softwarr i think 1 app does it all doesnt go well with adoption. Example tata neu which is struggling. People still prefer seperate apps for seperate things.
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Paras Chopra
Paras Chopra@paraschopra·
People building AI wrappers for consumers should learn what the smartphones did to specialized devices like MP3 players. Consumers want convenience so when a single device that could do multiple things came along, they adopted it with enthusiasm. The same game is likely to be played in AI for consumers. These foundational model companies will build mega-apps that do it all and offer it in single interface. That’s the trend and it makes sense - your median consumer doesn’t chase absolutely the best product, they are happy with lots of “good enough” mini use cases packed into single package. (But enterprises do seek bespoke solutions, but there the threat from foundation model companies is that they drive down the cost for building in-house). Net-net: AI wrappers will compete with foundation model companies. Partners will become competitors.
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Hari
Hari@randome_dev·
@arpit_bhayani One more thing is understanding fundamentals will make you appreciate engineering even more. Even a common thing like wireless ear buds if you try to understand fundamentals behind, engineering will be a lot more exciting
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Arpit Bhayani
Arpit Bhayani@arpit_bhayani·
"Do fundamentals still matter?" The moral high ground says - they do, and I agree. But the motivation loop that made people great at fundamentals is broken. Fundamentals were rewarding because we immediately applied them to solve problems better and, more importantly, gave us an edge over others. Say we write a wire protocol - then concepts like endianness come in handy when we serialize the data and solve our problem. That tight feedback loop is what drove curiosity. But with AI handling the implementation, we skip from "I have a problem" straight to "it's solved," without the middle step where understanding actually forms. We can still force ourselves to study the output afterward, but reviewing someone else's (AI) solution is very different from building it ourselves. Honestly, some fundamentals will be valuable to understand conceptually, but rarely practiced. Others will become even more critical because they are what you need to evaluate AI output and catch what it gets wrong. The hard part is that we are living through the transition. Nobody knows which fundamentals will fade and which will become indispensable. But until that becomes clear, I would still bet on building strong fundamental muscles for problem-solving.
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Hari
Hari@randome_dev·
@mitchellh Seriously asking what do u do while agent generates the code?
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Hari
Hari@randome_dev·
@waitin4agi_ @refactorfiend Abandoning of cinema halls has more to do with overall degradation in quality of movies in recent years. Thing is movies and content you see on internet are apples and oranges.
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Varun Mayya
Varun Mayya@waitin4agi_·
@refactorfiend Who is the consumer? A viewer right? What happened after cameras and democratisation of content is that the viewers abandoned cinema halls and started scrolling reels Similarly with software the new vibecoded stuff will feel like toys and non serious first
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Varun Mayya
Varun Mayya@waitin4agi_·
This is not a good example. Most of the content creator class had zero film making experience and broke all the rules of creating a video and treating celebrity-|dom. And because of that today a Mr Beast is more likely to sell out a stadium than a Tom Holland. The problem is as an industry we are highly mimetic and new ideas will only come from people who look at things entirely differently without falling into the old dogma of doing things “the right way”.
Gergely Orosz@GergelyOrosz

Saying not knowing how to code gives you an advantage in building software (thanks to AI) is like saying not knowing anything about filmmaking gives you an advantage in making films (thanks to having a smartphone + apps to edit stuff) Ignore this stuff and keep learning+building

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Hari
Hari@randome_dev·
@supabase Jiofiber dns is hell. I have also noticed issues with us central gcp hosted services sometime doesn't respond.
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Supabase
Supabase@supabase·
If you’re using JioFiber in India you may need to use a VPN to connect to Supabase, or switch your DNS to 1.1.1.1. Supabase infrastructure remains fully operational - the issue appears to be an ISP-level block. We have reached out to Jio.
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Hari retweetledi
ChatGPT
ChatGPT@ChatGPTapp·
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Hari
Hari@randome_dev·
@mehulmpt I think driving will be one of the last professions or job that will be automated in India. Anyone who drives in cities especially north india will know this.
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Mehul Mohan
Mehul Mohan@mehulmpt·
Indian government should avoid these initiatives. Self-driving is around the corner, but it needs proper infrastructure and roads to operate safely. The self-driving transition requires human drivers to be sensible while the fleet is a mix of humans and AI. Focus on that.
BJP@BJP4India

Your trip back home will soon cost less 🚕 India has introduced Bharat Taxi, the world’s first cooperative taxi service. Owned by drivers themselves, it removes commission cuts and surge pricing, putting fairness back into everyday travel. Watch this report and get to know in detail how it is going to save you money. 🔽

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Hari@randome_dev·
@the2ndfloorguy Bro is an idea machine. Leave some for u too
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Hari
Hari@randome_dev·
@asmah2107 Basic idea i think is arr[i] and i[arr] both resolve as (arr+i) where arr is adress of 0th element and i denotes how much jump needs to be made (each jump being size of data type stored).
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Ashutosh Maheshwari
Ashutosh Maheshwari@asmah2107·
Most people think arr[i] is the only way to access an element. This snippet breaks their brains.
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Hari
Hari@randome_dev·
@gmoneyNFT Buddy you dont even need to vibe code anything. I am sure there are open source alternatives which will be way better than anything you vibe code and these existed way before ai too. Still people paid for SaaS. Should make you wonder why if you think saas is dead due to "AI"!
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gmoney.eth
gmoney.eth@gmoneyNFT·
saas companies are done. everytime i think someone is asking for too much money for a saas service i ask claude whether it could build it out for me on my own. this trend will only accelerate from here.
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Hari
Hari@randome_dev·
@bubbleboi SaaS is not cooked. About bullshit SaaS yes but it was always doomed to fail even before ai, only now it will fail even faster. SaaS was more about outsourcing some responsibilities and never about inability to code. Open source SaaS exists but still hosted model makes money why?
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Peer Richelsen
Peer Richelsen@peer_rich·
"why would i pay for saas if i can prompt the software myself and run it" my brother in christ have you heard of open source businesses the last thing people want to do is to be in charge of development and maintenance of software
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Hari
Hari@randome_dev·
X algo prs are crazy man
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