Inosuke
5.4K posts
Inosuke
@Inosukeei_coder
• Tech • shitpost • profession backend • passion frontend • Learning & building. • Java fullstack dev
infinity castle 가입일 Kasım 2025
568 팔로잉1K 팔로워
30 tech companies with massive workforce + strong engineer pay..
- Amazon — 1,576,000 employees — SWE avg pay: ~$190k–$230k .
- IBM — ~270,000 employees — SWE avg pay: ~$150k–$190k.
- Microsoft — 228,000 employees — SWE avg pay: ~$220k–$250k .
- Accenture — ~210,000 tech total company is far bigger — SWE avg pay: ~$120k–$170k.
- Alphabet (Google) — 190,820 employees — SWE avg pay: ~$250k–$340k .
- Apple — 166,000 employees — SWE avg pay: ~$230k–$280k.
- Oracle — 162,000 employees — SWE avg pay: ~$180k–$230k.
- Cisco — ~90,000 employees — SWE avg pay: ~$190k–$230k.
- Salesforce — 76,453 employees — SWE avg pay: ~$210k–$260k .
- Lenovo — 72,000 employees — SWE avg pay: ~$120k–$170k .
- HP — 55,000 employees — SWE avg pay: ~$140k–$180k.
- Intel — ~124,800 employees — SWE avg pay: ~$180k–$230k.
- Dell — ~97,000 employees — SWE avg pay: ~$140k–$180k .
- SAP — 109,973 employees — SWE avg pay: ~$160k–$210k .
- Meta — ~74,000 employees — SWE avg pay: ~$280k–$380k .
- Adobe — 31,360 employees — SWE avg pay: ~$210k–$260k .
- NVIDIA — ~36,000 employees — SWE avg pay: ~$240k–$320k.
-Uber — ~31,000 employees — SWE avg pay: ~$220k–$300k.
LinkedIn — ~18,000 employees — SWE avg pay: ~$316k.
- Intuit — 18,200 employees — SWE avg pay: ~$210k–$260k .
- Airbnb — ~7,300 employees — SWE avg pay: ~$250k–$330k.
- Atlassian — ~14,400 after recent layoffs — SWE avg pay: ~$180k–$240k .
- ServiceNow — ~26,000 employees — SWE avg pay: ~$210k–$270k.
- Workday — ~20,400 employees — SWE avg pay: ~$190k–$240k.
- PayPal — ~27,000 employees — SWE avg pay: ~$170k–$220k.
- Shopify — ~8,100 employees — SWE avg pay: ~$170k–$230k .
- Expedia — 16,000 employees — SWE avg pay: ~$160k–$210k .
- Block — ~12,000 employees —
SWE avg pay: ~$200k–$270k.
- Pinterest — ~4,200 employees — SWE avg pay: ~$220k–$300k.
- Dropbox — ~2,300 employees — SWE avg pay: ~$210k–$280k.
English
@Inosukeei_coder Exactly, not caching every possible query, but prefix-based tries + heavily cached popular prefixes + real-time query logs for the long tail.
Billions of daily searches = insane hit rate on the top 0.1% prefixes.
Speed comes from smart precomputation, not magic.
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As a developer,
Have you ever wondered :
You type just "how to" in Google search and it instantly shows full suggestions like "how to make money", "how to cook pasta" etc...
There are 8.5+ billion searches globally every day.
How is this autocomplete so fast?
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rent a lambo for a day
shoot 1000+ videos
sell a course on
"how to make money online"
it's that simple bro
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Inosuke 리트윗함
Just reached 2k followers 🚀
@ReaL_Dp14 is the lucky person (cat) to be my 2000th follower 🎉🥳
Ray🫧@ravikiran_dev7
Who's gonna be the my 2000th follower 🫣
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