Get live statistics and analysis of Aryan Raj's profile on X / Twitter

engg @ei | ex- hedge fund trader | breaking // building

1k following598 followers

The Analyst

Aryan Raj is a sharp-minded engineer and ex-hedge fund trader who loves to dissect details and break down complex topics into understandable insights. Whether praising UI/UX excellence or pondering security loopholes, Aryan’s tweets reflect a curious and data-driven approach. He’s all about breaking things down to build them better, making sense of the chaos one detail at a time.

Impressions
6.7k2.5k
$1.25
Likes
198
73%
Retweets
1
4%
Replies
41
15%
Bookmarks
22
8%

Aryan’s tweets are so data-packed that sometimes readers need a spreadsheet and a calculator just to keep up — no wonder his following count is undefined; maybe people are intimidated before they even start scrolling!

Successfully transitioned from a high-stakes hedge fund trading career to becoming a respected voice in tech analysis and frontend development commentary — a rare and impressive crossover that speaks to his adaptability and intellect.

Aryan’s life purpose centers around uncovering truths through thoughtful analysis and improving systems by recognizing what works and what doesn’t. He strives to bring clarity and precision to any domain he engages in, aiming to optimize outcomes both in tech and finance.

He believes in the power of deep observation, intentional design, and data-backed reasoning to drive meaningful progress. Aryan values practical effectiveness over superficial beauty and champions transparency and continual improvement.

Aryan’s strengths lie in his ability to combine quantitative insight with qualitative assessment, allowing him to spot nuances others might miss. His dedication to breaking down user experience metrics like dwell time shows a sophisticated understanding of engagement beyond just surface-level aesthetics.

His analytical nature might sometimes lead him to overthink or hesitate when quick, creative spontaneity is needed. Also, a heavy focus on detail might occasionally overwhelm his audience or cause him to miss the bigger picture.

To grow his audience on X, Aryan should capitalize on his unique blend of technical and financial insight by creating thread series that explain complex concepts in a simple way. Engaging more directly with followers in replies and incorporating some light humor could also broaden his appeal.

Fun fact: Aryan blends the analytical rigor of a hedge fund trader with the creative precision of a frontend engineer, making him uniquely equipped to evaluate tech products from every angle — functionality, UX, and business impact.

Top tweets of Aryan Raj

I stumbled across @Kulfei's profile, and you just can't nail a bio better. This is so creatively charged! Loved it.

2k

We all see the superficial layer of @cluely with their sick af marketing videos, contrarian takes on this platform, and we label them as outcasts. Was watching @MollySOShea podcast where @im_roy_lee showed up in his most candid and unfiltered self. The dude just likes to use the word 'bro' way too casually but besides that he has a very deep understanding of the consumer psyche. A mental framework of his that I liked is that throughout the chat, he kept putting his name right against the likes of Musk and Altman. It might be deliberate, but the audacity to do that is sickeningly amazing. Another framework is his idea of attention. Being in the spotlight. His idea that when you have the attention, there will 50% crowd rooting for you and 50% hooting for you but the key idea is to hit escape velocity first before you p*ss off enough folks to make the most out of the attention concentration. The guy does speak at the speed he thinks and is not a bullshi*ter for sure.

963

Most engaged tweets of Aryan Raj

.@grok what is the role of UNSC? (wrong answers only)

75

We all see the superficial layer of @cluely with their sick af marketing videos, contrarian takes on this platform, and we label them as outcasts. Was watching @MollySOShea podcast where @im_roy_lee showed up in his most candid and unfiltered self. The dude just likes to use the word 'bro' way too casually but besides that he has a very deep understanding of the consumer psyche. A mental framework of his that I liked is that throughout the chat, he kept putting his name right against the likes of Musk and Altman. It might be deliberate, but the audacity to do that is sickeningly amazing. Another framework is his idea of attention. Being in the spotlight. His idea that when you have the attention, there will 50% crowd rooting for you and 50% hooting for you but the key idea is to hit escape velocity first before you p*ss off enough folks to make the most out of the attention concentration. The guy does speak at the speed he thinks and is not a bullshi*ter for sure.

963

Google has been synonymous with search for over two decades, indexing over 50 billion web pages! Have you ever stopped to think about the engineering brilliance behind this unparalleled scale? The sheer scale is fascinating, and the engineering solution is inarguably the most beautiful and fundamental! The blueprint was laid out in the academic paper "The Anatomy of a Large-Scale Hypertextual Web Search Engine" by Sergey Brin and Lawrence Page. Here's how they got it done: 1. Incumbent Context- At this time, multiple players vied for the contested spot of being the primary search engine. Yahoo was a major one; they primarily relied on human-curated web directories. As it sounds, very tough (read: impossible) to scale. This led to manipulable results and low-quality content ranking in the exploding web scene. 2. PageRank- Quality took precedence with the PageRank algorithm, which recursively treated links as "votes" of confidence. Page rank weightage was tied to important pages linked to it. Not just this, Google also factored anchor text analysis, proximity information and on-page signals like position, font, and capitalisation information. The biggest challenge, not adding too much weight to one parameter and avoiding the algorithm being gamed. (Ranking is not just keyword stuffing) 3. Crawlers- Indexing billions of pages requires an almost impossibly fast and efficient crawling infrastructure. The time to crawl and index is key to a search engine. Back in the day, it took 9 days to download 26 million pages, which dropped to downloading the last 11 million pages in 63 hours. Dropping the average to 48.5 pages per second. Imagine the network latency, storage, and distributed coordination - at that scale in the late '90s :) If you are someone who is fascinated by the engineering behind complex systems, I highly recommend reading it!

154

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