Company Prep
Questions each company asks most, recent ones first — curated from public LeetCode company-tag data. Every problem has a full write-up and visual trace.
Adobe
The 35 Adobe interview problems asked most — recent (last six months) first, then all-time frequency — grouped by pattern.
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Amazon
The most frequently asked Amazon interview problems — top 60 by LeetCode tag frequency (June 2025) plus 5 high-occurrence classics (2022 cross-reference), grouped by pattern. All 65 problems written.
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Apple
The 40 Apple interview problems asked most — recent (last six months) first, then all-time frequency — grouped by pattern.
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Bloomberg
The 40 Bloomberg interview problems asked most — recent (last six months) first, then all-time frequency — grouped by pattern.
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Goldman Sachs
The 30 Goldman Sachs interview problems asked most — recent (last six months) first, then all-time frequency — grouped by pattern.
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Primary = company-Google-thirtydays.csv (rolling ~June 2025 LeetCode 30-day tag snapshot, 183 rows) sorted by Frequency descending; take the 52 highest-frequency non-Database problems (cutoff at the 46.6 frequency tier), swapping the trivial 'Add Two Integers' pickup for the phone-screen staple Valid Parentheses = 53; then keep all 20 hxu296-google-2022 top-occurrence classics, 3 of which (Two Sum, Number of Islands, Subarray Sum Equals K) are already in the base and the other 17 appended as slow-burn classics a 30-day window structurally drops = 70 total (the cap).
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The 35 LinkedIn interview problems asked most — recent (last six months) first, then all-time frequency — grouped by pattern.
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Meta
Primary = company-Meta-thirtydays.csv (~June 2025 LeetCode 30-day tag snapshot, 55 rows) sorted by Frequency descending; take the top 47 non-Database problems (all of the 63.8-and-above tiers plus the best 30 of the 53.8 tier, dropping 5 low-signal rows: Maximize Active Section with Trade I, Smallest Divisible Digit Product II, Vertical Order Traversal of a Binary Tree, Remove Linked List Elements, Merge Strings Alternately); then append the 13 combined hxu296 Meta/Facebook top-15-by-occurrence classics the snapshot missed (2 already in base: Subarray Sum Equals K, Kth Largest Element in an Array) = 60 total (cap).
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Microsoft
Primary = company-Microsoft-thirtydays.csv (~June 2025 LeetCode 30-day tag snapshot, 43 rows) sorted by Frequency descending; take all 41 non-Database problems (the 'top ~50' is moot since the snapshot is small); then append the 7 hxu296-microsoft-2022 top-15-by-occurrence classics the 30-day window missed (LRU Cache #1 at 52 occurrences, Number of Islands, Search in Rotated Sorted Array, Serialize and Deserialize Binary Tree, Reverse Words in a String, Sign of the Product of an Array, Find N Unique Integers Sum up to Zero) = 48 total (cap 60).
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Netflix
The 20 Netflix interview problems asked most — recent (last six months) first, then all-time frequency — grouped by pattern.
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Oracle
The 35 Oracle interview problems asked most — recent (last six months) first, then all-time frequency — grouped by pattern.
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Salesforce
The 30 Salesforce interview problems asked most — recent (last six months) first, then all-time frequency — grouped by pattern.
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TikTok
The 35 TikTok interview problems asked most — recent (last six months) first, then all-time frequency — grouped by pattern.
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Uber
The 40 Uber interview problems asked most — recent (last six months) first, then all-time frequency — grouped by pattern.
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