full stack/app dev engineer β€’ i write bugs so well they call it a feature β€’ building bhondugame.com/

Joined August 2023
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I have been mentoring at hackathons for some time now. Guiding new builders, helping turn ideas into working projects, and learning together has been a truly rewarding journey. Here is a fun edit I made capturing the experience.
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Here has mentor @igniteroom
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someone suggest me shit to do in bangalore
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Guess where I'm going πŸ‘€
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As someone who makes videos, getting good Hinglish captions has always been a massive headache. I absolutely refused to pay for monthly subscriptions or upload my raw, private files to random third-party servers. So I spent some time digging through Hugging Face, found an incredibly accurate model, and built my own local web UI around it. It runs entirely on my machine for free. Going forward, you are going to see a serious level up in the content I put out. If any creators or devs want to run it yourself, the code is completely open source: github.com/shivam-taneja/hin…
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Glad to be back in mentor mode! Had the opportunity to serve as an online mentor for the Hyderabad round of HackArena 2.0. Enjoyed interacting with participants and discussing some exciting ideas!
Your city might be next. HackArena 2.0 is coming to: Chandigarh β€’ Delhi β€’ Kolkata β€’ Hyderabad β€’ Mumbai β€’ Bangalore All leading to the Grand Finale. πŸ“… 27–28 June 2026 πŸ’° β‚Ή1,00,000 Cash Prize #HackArena #techindia #HackArena2 #Hackathon #Hackathon2026 #India #IgniteRoom
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Officially 24 now. Happy Birthday to me!πŸŽ‚
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Okkk so I worked on this and v1 is out, not all the core features are here but something is better than nothing! bhondugame.com/
πŸ«ͺ Ye emoji dekh ke maine game shuru kar diya Bhondu Life - Daily bhondu situations wala game Leaderboard, streak aur bohot maza bhondugame.com Follow karo updates ke liye
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πŸ«ͺ Ye emoji dekh ke maine game shuru kar diya Bhondu Life - Daily bhondu situations wala game Leaderboard, streak aur bohot maza bhondugame.com Follow karo updates ke liye
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Saw an idea, built a small version of it. Promptly scores any prompt using a CoT pipeline across 4 dimensions: context, specificity, constraints, reasoning. Returns a structured score improved prompt example. Demo video πŸ‘‡ #BuildInPublic #AI
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Dude @ChatGPTapp what's happening bro? why u giving soo much random information when not even asked. like fuck me, u just need to find a way to just use up all the credits so that i have to purchase the pro?? Yikes!
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2 gentelman
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Do u guys like the new logo for @gmail ?
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ANDDD they are closed source now @antigravity boooo hooo
same here :(
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hot take, @ChatGPTapp's free model is hot garbage. Like it's crazzy how shit it is
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went down a blockchain rabbit hole today and i cannot get out started with "how did satoshi make money" and ended up reading actual bitcoin core source code, why 21 million is just a geometric series, and why the whole thing rests on a math problem nobody has actually proven is unsolvable kinda interesting tho not gonna lie BUT NEED HELP TO GET OUT!
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Here's my hot take for @X It's currently my favourite app and I use it for three very different things: doom-scrolling, staying on top of tech, and catching any news or controversy the moment it breaks. Twitter is the best real-time information network ever built, but here are three things I'd change: 1. Context-aware feeds, not one feed. Right now there's one timeline doing too many jobs. I want a "deep read" mode and a "pulse" mode. Pulse is the chaos: memes, hot takes, breaking news. Deep read is curated threads, long-form, technical content from people I've specifically said I want to learn from. The backend challenge here is interesting: you're essentially maintaining two differently-weighted ranking models per user rather than one, with different freshness and engagement signals for each. 2. Conversation threading is broken at scale. When a tweet goes viral, the reply tree becomes unnavigable. There's no way to surface the most insightful reply vs. the most engaged reply vs. a reply from someone I follow. A relevance-ranked reply graph, personalized per viewer, would make the product dramatically more useful for anyone trying to learn something from a thread. 3. Discovery is broken and bookmarks are a graveyard. You only find new people through retweets, which is algorithmic chaos. And everyone saves tweets and never returns to them. A structured follow-by-interest graph would fix cold discovery, and a lightweight resurface system, think spaced repetition for saved content, would make bookmarks actually useful. What do you think about all these?
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Officially welcoming myself to @playrust πŸ¦€
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We back, let's GOO!
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