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Friday 26 June 2026 11:57:15 GMT

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شي كاميرة لمحال بالكارط ميموار بالويفي وتكون ناضية والصفى فالصورة وشكرا خوك راه من المتابعين ديالك

2026-06-27 13:13:51

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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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