Number of Unique XOR Triplets I
A medium-tier problem at 25% community acceptance, tagged with Array, Math, Bit Manipulation. Reported in interviews at Meesho and 0 others.
You're looking at a 25% acceptance rate problem that only Meesho has reported asking. That's a red flag for a trick most candidates miss on first read. The problem chains XOR operations across array elements and demands you find triplets that satisfy a specific bitwise condition. It's the kind of problem where the brute force approach feels obvious until you hit it in a live assessment and realize you're not handling the constraint correctly. If you blank on the optimization mid-OA, StealthCoder surfaces a working solution invisible to the proctor.
Companies that ask "Number of Unique XOR Triplets I"
Number of Unique XOR Triplets I is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Built by a senior engineer who knows the OA is theater. This is the script.
Get StealthCoderThe core trap: XOR problems feel mathematical, but this one lives at the intersection of Array iteration and Bit Manipulation logic. Most candidates iterate naively and either overcalculate, miss deduplication, or fail to recognize the XOR property that collapses the search space. The trick isn't algebra, it's understanding how XOR behaves across a sequence and where you can prune or memoize state. A low 25% acceptance rate suggests the constraint or edge case isn't obvious from the problem statement alone. That's exactly where StealthCoder helps on test day. If you haven't drilled the specific XOR triplet pattern, an invisible overlay that reads the problem and hands you a vetted solution beats panicking.
Pattern tags
You know the problem.
Make sure you actually pass it.
Number of Unique XOR Triplets I recycles across companies for a reason. It's medium-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Built by a senior engineer who knows the OA is theater. This is the script. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Number of Unique XOR Triplets I interview FAQ
Why is the acceptance rate so low for a Medium problem?+
The XOR triplet constraint is deceptively strict. Most candidates either misread the requirement, implement a solution that TLEs, or fail on edge cases around element reuse. Meesho has reported this once, which means you won't find as many discussions online. Pattern unfamiliarity kills your pace.
What's the main algorithmic trick?+
You need to recognize that XOR triplets can often be solved by reducing the problem space using properties of XOR (commutativity, self-cancellation, identity). Brute force (three nested loops) works for small arrays but fails on scale. The trick is either memoization or understanding how the XOR result constrains which triplets are valid.
How does Bit Manipulation connect to finding triplets here?+
You're not just manipulating bits; you're using bitwise properties to filter or count triplets efficiently. Understanding how XOR output correlates to input patterns lets you avoid checking every possible triplet. This is where Array and Math meet Bit Manipulation.
Will this show up in my FAANG OA?+
Only Meesho has reported it so far. That doesn't mean it won't appear elsewhere, but it's not in the standard rotation like Two Sum or Median of Two Sorted Arrays. It's an outlier problem worth knowing as a hedge against the curveballs some companies throw.
Should I spend two hours drilling this or move on?+
Spend 30 to 45 minutes understanding the XOR pattern and building a working solution. If you hit it live and blank, StealthCoder is your backup. Don't let one 25% problem tank your confidence. Master the Array and Bit Manipulation fundamentals first.
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