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87% of visitors get this wrong
How would you design a rate limiter for an API that handles 10,000 requests per second?
So basically you would use Redis for this because it's fast. You can store like a counter for each user and then increment it. And when it hits the limit you just return a 429. You could use a sliding window or something but honestly the token bucket is probably fine for most cases. The main thing is you want it to be distributed so Redis makes sense because it's in-memory and you know, it handles concurrent access pretty well.
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| Feature | Intabiu | LeetCode | Mock Interview Coach |
|---|---|---|---|
| Voice-first practice | Yes | — | — |
| AI speech feedback | Yes | — | Human only |
| Filler word detection | Yes | — | — |
| Available 24/7 | Anytime (AI) | Yes | Scheduled |
| Free tier | Yes | Limited | Paid |
| No login required | Yes | — | — |
Engineers say "basically" and "you know" without realizing it. This answer has 11 filler words hiding in plain sight. Find them.
You found 0 of 11 (0%)
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