Utkarsh
@JammUtkarsh
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Server side Engineer at Gamezop | Building ( . . * . . ) in Mac Docker and Go
India
Joined August 2017
@drxddy Most of the things I make seem pretty useless to others because they solve very specific problems of mine
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Recently, we were building a leaderboard system. The initial implementation was entirely in Postgres. The system scaled comfortably to around ~10,000 users, and performance was decent. However, we started getting more traction, which also grew our query latency, particularly
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最近 Telegram 支持了 Passkeys 登录,建议大家都去开一下。 还有个网站 Passkeys .directory 可以查看哪些网站或 App 支持了 Passkeys 登录
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Last week I hosted family for Thanksgiving. My 12-year-old nephew asked for the WiFi password. He wanted to play Roblox on his iPad. I looked at the device. Unmanaged. No antivirus. No encryption. I’m an IT Professional. I don't run an open network. So I didn’t give him the
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Instagram kholta hun, kisi ki shaadi ho jaati hai.
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Vibe coding is great when you know what you are doing. Like really know what AI slop means?
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Thank god, I use use Go
🚨Be aware that the “Sha1-Halud” worm is currently impacting the open-source repositories: - It can steal all the secrets on your laptop and publish them to a public and easily-findable GitHub repo. - It is caused by infected NPM packages executing code which will steal secrets
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We recently built an API that needed to trigger processing at regular intervals, but with one important twist: The interval should start relative to when the API is called, not based on a fixed server schedule. For example, if the API is called at 14:43, the next run should be
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Cloudflare went down yesterday. Checked Down Detector to confirm… but that was down too — because it also uses Cloudflare. TS devs: “This is fine, cyclic dependencies are normal.” Go devs: “This is why we said don’t allow cycles.” Be like Go. Reject cycles. Prevent chaos.
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Most BS change ever. Why does Apps have to look same as spotlight?
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GCP and Firebase together sucks. Spend 6 hours trying to find a role to work smoothly for a simple API call.
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For the last two weeks, my team and I were building new APIs. Things were moving smoothly — until QA flagged that something “wasn’t working.” So I went to check the logs and honestly… it was a mess. - Every request — even the successful 200s — was dumping logs. - Search was
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The fastest way to build a production ready REST API is to write a good detailed Jira Ticket with the whole data flow, conditions and edge case solutions, broken down into steps/stages and then give to an agent.
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👉 Sequential Scan When most of the table qualifies, it’s faster to just scan it all linearly rather than jumping back and forth using an index.
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👉 Bitmap Index + Heap Scan Postgres first uses the index to collect all the matching row locations into a bitmap. Then, in the second stage, it reads the heap pages in order — minimizing random reads. It’s a smart trade-off between direct lookups and full scans.
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