@nonono_1603:

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Saturday 12 September 2026 23:47:38 GMT

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ber✌ :

pertama

2026-09-12 23:50:05

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lelyalel yak lah kanak😅

2026-09-15 21:00:56

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Gaji pas-pasan, tagihan menumpuk, tapi yang bakal diterima cuma SATU orang? 💼⚡️ Film Lagi Probation menceritakan perjuangan 6 first jobber dengan berbagai latar belakang dan ambisi mulai dari Bintang (Aurora Ribero) yang berjuang demi kondisi keluarga, hingga karakter-karakter unik lainnya. Awalnya bersahabat, suasana berubah jadi ajang

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He in fact did not surrender peacefully. #bodycamfootage #cops #clips #police #fy #roadto1k #peaceandlove

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بعت رسالة بالغلط لمديرتي واللي حصل😱p1#قصص #ايمن_الجوهري #fyp #ترند #explore

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$Tinder's hardest problem isn't the swipe animation. It's deciding which one person, out of millions, you see next — and making that decision feel personal in under half a second. Here's what actually happens between you opening the app and one card appearing: 1. Your phone sends a location. The backend does NOT measure the distance to every user — that's millions of calculations for one screen. It turns your coordinates into a geohash cell, searches that cell plus its 8 neighbours, and gets a shortlist. 2. Then the filters run, in order: 20 km, age range, gender preference, not blocked, not already swiped, active recently. Millions collapse to a couple of thousand. 3. Now the real work. Every survivor gets scored — distance, activity, preferences, past swipe behaviour, profile completeness, and the heaviest weight of all: the model's guess at whether you two would like each other. The deck IS that ranked list. 4. You swipe right. That's a tiny event, a few dozen bytes. It gets written, and then one index lookup asks the only question that matters: did they already swipe right on you? If yes, both phones have to learn it at the same instant. One write, or none — never one phone celebrating while the other has no record. Five systems, agreeing in a fraction of a second: geospatial · recommendation · matching · messaging · trust & safety Tinder does about 1.6 billion swipes a day. The swipe is the easy part. The order of the deck is the product. Which of the five would you build first? #systemdesign #softwareengineering #productdesign #techexplained #devcommunity$
Tinder's hardest problem isn't the swipe animation. It's deciding which one person, out of millions, you see next — and making that decision feel personal in under half a second. Here's what actually happens between you opening the app and one card appearing: 1. Your phone sends a location. The backend does NOT measure the distance to every user — that's millions of calculations for one screen. It turns your coordinates into a geohash cell, searches that cell plus its 8 neighbours, and gets a shortlist. 2. Then the filters run, in order: 20 km, age range, gender preference, not blocked, not already swiped, active recently. Millions collapse to a couple of thousand. 3. Now the real work. Every survivor gets scored — distance, activity, preferences, past swipe behaviour, profile completeness, and the heaviest weight of all: the model's guess at whether you two would like each other. The deck IS that ranked list. 4. You swipe right. That's a tiny event, a few dozen bytes. It gets written, and then one index lookup asks the only question that matters: did they already swipe right on you? If yes, both phones have to learn it at the same instant. One write, or none — never one phone celebrating while the other has no record. Five systems, agreeing in a fraction of a second: geospatial · recommendation · matching · messaging · trust & safety Tinder does about 1.6 billion swipes a day. The swipe is the easy part. The order of the deck is the product. Which of the five would you build first? #systemdesign #softwareengineering #productdesign #techexplained #devcommunity

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