docs: add companies frontmatter, schema, and rendering in badges & appendix pages

apps/docs/content/(01-linear-structures)/binary-search/153_find-minimum-in-rotated-sorted-array.mdx

@@ -7,6 +7,13 @@ topics:
   - { name: "Binary Search", slug: "binary-search" }
 video: "nIVW4P8b1VA"
 issue: "https://github.com/prdlk/leetcode/issues/62"
+companies:
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "tcs", period: "Six Months", frequency: 43.5 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 40.6 }
+  - { name: "Meta", period: "Six Months", frequency: 32.7 }
 sidebar:
   label: 'Find Minimum in Rotated Sorted Array'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/binary-search/162_find-peak-element.mdx

@@ -6,6 +6,15 @@ topics:
   - { name: "Array", slug: "array" }
   - { name: "Binary Search", slug: "binary-search" }
 issue: "https://github.com/prdlk/leetcode/issues/64"
+companies:
+  - { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
+  - { name: "tcs", period: "Thirty Days", frequency: 67.6 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Meta", period: "Three Months", frequency: 54.8 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
+  - { name: "Amazon", period: "Three Months", frequency: 34.6 }
+  - { name: "Uber", period: "Six Months", frequency: 67.2 }
 sidebar:
   label: 'Find Peak Element'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/binary-search/33_search-in-rotated-sorted-array.mdx

@@ -7,6 +7,18 @@ topics:
   - { name: "Binary Search", slug: "binary-search" }
 video: "U8XENwh8Oy8"
 issue: "https://github.com/prdlk/leetcode/issues/60"
+companies:
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Google", period: "Thirty Days", frequency: 36.7 }
+  - { name: "Oracle", period: "Three Months", frequency: 100 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 68.3 }
+  - { name: "Microsoft", period: "Three Months", frequency: 33.4 }
+  - { name: "TikTok", period: "Six Months", frequency: 64.9 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 63.3 }
+  - { name: "Yandex", period: "Six Months", frequency: 59.6 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
+  - { name: "Apple", period: "Six Months", frequency: 48.1 }
 sidebar:
   label: 'Search in Rotated Sorted Array'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/binary-search/34_find-first-and-last-position-of-element-in-sorted-array.mdx

@@ -6,6 +6,17 @@ topics:
   - { name: "Array", slug: "array" }
   - { name: "Binary Search", slug: "binary-search" }
 issue: "https://github.com/prdlk/leetcode/issues/65"
+companies:
+  - { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
+  - { name: "Google", period: "Thirty Days", frequency: 36.7 }
+  - { name: "TikTok", period: "Three Months", frequency: 70.9 }
+  - { name: "tcs", period: "Three Months", frequency: 47.7 }
+  - { name: "Meta", period: "Three Months", frequency: 43.3 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
+  - { name: "Instacart", period: "Six Months", frequency: 100 }
+  - { name: "Apple", period: "Six Months", frequency: 70.2 }
+  - { name: "Infosys", period: "Six Months", frequency: 56.2 }
 sidebar:
   label: 'Find First and Last Position of Element in Sorted Array'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/binary-search/35_search-insert-position.mdx

@@ -7,6 +7,15 @@ topics:
   - { name: "Binary Search", slug: "binary-search" }
 video: "K-RYzDZkzCI"
 issue: "https://github.com/prdlk/leetcode/issues/63"
+companies:
+  - { name: "Google", period: "Thirty Days", frequency: 50.2 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Grammarly", period: "Three Months", frequency: 84.8 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "Meta", period: "Three Months", frequency: 49.8 }
+  - { name: "tcs", period: "Three Months", frequency: 47.7 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Infosys", period: "Six Months", frequency: 56.2 }
 sidebar:
   label: 'Search Insert Position'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/binary-search/4_median-of-two-sorted-arrays.mdx

@@ -7,6 +7,19 @@ topics:
   - { name: "Binary Search", slug: "binary-search" }
   - { name: "Divide and Conquer", slug: "divide-and-conquer" }
 issue: "https://github.com/prdlk/leetcode/issues/66"
+companies:
+  - { name: "Rippling", period: "Thirty Days", frequency: 93 }
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
+  - { name: "Meta", period: "Thirty Days", frequency: 63.8 }
+  - { name: "Google", period: "Thirty Days", frequency: 62 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
+  - { name: "eBay", period: "Three Months", frequency: 82.2 }
+  - { name: "Goldman Sachs", period: "Three Months", frequency: 57 }
+  - { name: "tcs", period: "Three Months", frequency: 47.7 }
+  - { name: "Zoho", period: "Six Months", frequency: 79.6 }
+  - { name: "DE Shaw", period: "Six Months", frequency: 74.2 }
+  - { name: "Apple", period: "Six Months", frequency: 48.1 }
 sidebar:
   label: 'Median of Two Sorted Arrays'
   badge: 'Hard'

apps/docs/content/(01-linear-structures)/binary-search/704_binary-search.mdx

@@ -7,6 +7,12 @@ topics:
   - { name: "Binary Search", slug: "binary-search" }
 video: "s4DPM8ct1pI"
 issue: "https://github.com/prdlk/leetcode/issues/58"
+companies:
+  - { name: "Google", period: "Thirty Days", frequency: 53.2 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "Meta", period: "Three Months", frequency: 49.8 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Amazon", period: "Three Months", frequency: 39.1 }
 sidebar:
   label: 'Binary Search'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/binary-search/74_search-a-2d-matrix.mdx

@@ -8,6 +8,15 @@ topics:
   - { name: "Matrix", slug: "matrix" }
 video: "Ber2pi2C0j0"
 issue: "https://github.com/prdlk/leetcode/issues/61"
+companies:
+  - { name: "Goldman Sachs", period: "Thirty Days", frequency: 62.9 }
+  - { name: "Microsoft", period: "Three Months", frequency: 57.2 }
+  - { name: "Amazon", period: "Three Months", frequency: 34.6 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Google", period: "Three Months", frequency: 17.3 }
+  - { name: "SAP", period: "Six Months", frequency: 100 }
+  - { name: "tcs", period: "Six Months", frequency: 43.5 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
 sidebar:
   label: 'Search a 2D Matrix'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/binary-search/875_koko-eating-bananas.mdx

@@ -7,6 +7,18 @@ topics:
   - { name: "Binary Search", slug: "binary-search" }
 video: "U2SozAs9RzA"
 issue: "https://github.com/prdlk/leetcode/issues/59"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Nvidia", period: "Three Months", frequency: 100 }
+  - { name: "Infosys", period: "Three Months", frequency: 87.4 }
+  - { name: "Meta", period: "Three Months", frequency: 62.3 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "Coupang", period: "Six Months", frequency: 100 }
+  - { name: "Swiggy", period: "Six Months", frequency: 100 }
+  - { name: "Accenture", period: "Six Months", frequency: 75 }
+  - { name: "Microsoft", period: "Six Months", frequency: 56.9 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
 sidebar:
   label: 'Koko Eating Bananas'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/hash-table/128_longest-consecutive-sequence.mdx

@@ -7,6 +7,18 @@ topics:
   - { name: "Hash Table", slug: "hash-table" }
   - { name: "Union-Find", slug: "union-find" }
 issue: "https://github.com/prdlk/leetcode/issues/34"
+companies:
+  - { name: "tcs", period: "Thirty Days", frequency: 74.3 }
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 65.8 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
+  - { name: "Google", period: "Thirty Days", frequency: 53.2 }
+  - { name: "Apple", period: "Three Months", frequency: 69 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Paytm", period: "Six Months", frequency: 100 }
+  - { name: "Nvidia", period: "Six Months", frequency: 91.1 }
+  - { name: "TikTok", period: "Six Months", frequency: 55.2 }
+  - { name: "Salesforce", period: "Six Months", frequency: 50.2 }
 sidebar:
   label: 'Longest Consecutive Sequence'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/hash-table/1832_check-if-the-sentence-is-pangram.mdx

@@ -5,6 +5,10 @@ icon: dot
 topics:
   - { name: "Hash Table", slug: "hash-table" }
   - { name: "String", slug: "string" }
+companies:
+  - { name: "Bloomberg", period: "Six Months", frequency: 34.2 }
+  - { name: "Amazon", period: "Six Months", frequency: 14.3 }
+  - { name: "Google", period: "Six Months", frequency: 11.8 }
 sidebar:
   label: 'Check if the Sentence Is Pangram'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/hash-table/1_two-sum.mdx

@@ -7,6 +7,35 @@ topics:
   - { name: "Hash Table", slug: "hash-table" }
 video: "KLlXCFG5TnA"
 issue: "https://github.com/prdlk/leetcode/issues/29"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 100 }
+  - { name: "Google", period: "Thirty Days", frequency: 100 }
+  - { name: "Meta", period: "Thirty Days", frequency: 100 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 100 }
+  - { name: "tcs", period: "Thirty Days", frequency: 79.6 }
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 76.7 }
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
+  - { name: "Altimetrik", period: "Three Months", frequency: 100 }
+  - { name: "Capgemini", period: "Three Months", frequency: 100 }
+  - { name: "Microstrategy", period: "Three Months", frequency: 100 }
+  - { name: "MongoDB", period: "Three Months", frequency: 100 }
+  - { name: "Cognizant", period: "Three Months", frequency: 88.7 }
+  - { name: "Apple", period: "Three Months", frequency: 80.4 }
+  - { name: "Barclays", period: "Six Months", frequency: 100 }
+  - { name: "Cisco", period: "Six Months", frequency: 100 }
+  - { name: "Deloitte", period: "Six Months", frequency: 100 }
+  - { name: "Expedia", period: "Six Months", frequency: 100 }
+  - { name: "NetApp", period: "Six Months", frequency: 100 }
+  - { name: "Samsung", period: "Six Months", frequency: 100 }
+  - { name: "Sony", period: "Six Months", frequency: 100 }
+  - { name: "Oracle", period: "Six Months", frequency: 91.2 }
+  - { name: "Qualcomm", period: "Six Months", frequency: 80.7 }
+  - { name: "IBM", period: "Six Months", frequency: 77.2 }
+  - { name: "eBay", period: "Six Months", frequency: 75.2 }
+  - { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
+  - { name: "Flipkart", period: "Six Months", frequency: 57.1 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
 sidebar:
   label: 'Two Sum'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/hash-table/205_isomorphic-strings.mdx

@@ -6,6 +6,13 @@ topics:
   - { name: "Hash Table", slug: "hash-table" }
   - { name: "String", slug: "string" }
 issue: "https://github.com/prdlk/leetcode/issues/33"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Google", period: "Thirty Days", frequency: 36.7 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "tcs", period: "Three Months", frequency: 47.7 }
+  - { name: "Microsoft", period: "Three Months", frequency: 33.4 }
+  - { name: "Meta", period: "Six Months", frequency: 24.5 }
 sidebar:
   label: 'Isomorphic Strings'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/hash-table/217_contains-duplicate.mdx

@@ -8,6 +8,12 @@ topics:
   - { name: "Sorting", slug: "sorting" }
 video: "3OamzN90kPg"
 issue: "https://github.com/prdlk/leetcode/issues/27"
+companies:
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Google", period: "Thirty Days", frequency: 50.2 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
+  - { name: "Microsoft", period: "Three Months", frequency: 48.3 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
 sidebar:
   label: 'Contains Duplicate'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/hash-table/242_valid-anagram.mdx

@@ -8,6 +8,16 @@ topics:
   - { name: "Sorting", slug: "sorting" }
 video: "9UtInBqnCgA"
 issue: "https://github.com/prdlk/leetcode/issues/28"
+companies:
+  - { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
+  - { name: "tcs", period: "Thirty Days", frequency: 58.2 }
+  - { name: "Google", period: "Thirty Days", frequency: 53.2 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
+  - { name: "IBM", period: "Three Months", frequency: 100 }
+  - { name: "Infosys", period: "Three Months", frequency: 66 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 64.4 }
+  - { name: "Meta", period: "Three Months", frequency: 58.9 }
+  - { name: "Deloitte", period: "Six Months", frequency: 81 }
 sidebar:
   label: 'Valid Anagram'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/hash-table/290_word-pattern.mdx

@@ -6,6 +6,10 @@ topics:
   - { name: "Hash Table", slug: "hash-table" }
   - { name: "String", slug: "string" }
 issue: "https://github.com/prdlk/leetcode/issues/35"
+companies:
+  - { name: "Google", period: "Three Months", frequency: 17.3 }
+  - { name: "Microsoft", period: "Six Months", frequency: 24.1 }
+  - { name: "Amazon", period: "Six Months", frequency: 20.9 }
 sidebar:
   label: 'Word Pattern'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/hash-table/347_top-k-frequent-elements.mdx

@@ -13,6 +13,23 @@ topics:
   - { name: "Quickselect", slug: "quickselect" }
 video: "YPTqKIgVk-k"
 issue: "https://github.com/prdlk/leetcode/issues/31"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 72.9 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
+  - { name: "Google", period: "Thirty Days", frequency: 42.3 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "Snap", period: "Six Months", frequency: 100 }
+  - { name: "SoFi", period: "Six Months", frequency: 100 }
+  - { name: "PayPal", period: "Six Months", frequency: 88.4 }
+  - { name: "Walmart Labs", period: "Six Months", frequency: 81.4 }
+  - { name: "Nvidia", period: "Six Months", frequency: 78.7 }
+  - { name: "eBay", period: "Six Months", frequency: 75.2 }
+  - { name: "Visa", period: "Six Months", frequency: 69.7 }
+  - { name: "Snowflake", period: "Six Months", frequency: 58.7 }
+  - { name: "TikTok", period: "Six Months", frequency: 55.2 }
+  - { name: "Meta", period: "Six Months", frequency: 50.6 }
+  - { name: "Apple", period: "Six Months", frequency: 48.1 }
+  - { name: "tcs", period: "Six Months", frequency: 43.5 }
 sidebar:
   label: 'Top K Frequent Elements'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/hash-table/387_first-unique-character-in-a-string.mdx

@@ -8,6 +8,16 @@ topics:
   - { name: "Queue", slug: "queue" }
   - { name: "Counting", slug: "counting" }
 video: "rBENYgWy3xU"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
+  - { name: "Yandex", period: "Three Months", frequency: 76.1 }
+  - { name: "tcs", period: "Three Months", frequency: 73.7 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
+  - { name: "Meta", period: "Three Months", frequency: 43.3 }
+  - { name: "Google", period: "Three Months", frequency: 23.9 }
+  - { name: "EPAM Systems", period: "Six Months", frequency: 76.2 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 59 }
+  - { name: "Microsoft", period: "Six Months", frequency: 32 }
 sidebar:
   label: 'First Unique Character in a String'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/hash-table/451_sort-characters-by-frequency.mdx

@@ -10,6 +10,12 @@ topics:
   - { name: "Bucket Sort", slug: "bucket-sort" }
   - { name: "Counting", slug: "counting" }
 video: "OXdXc9HTrIg"
+companies:
+  - { name: "Meta", period: "Three Months", frequency: 49.8 }
+  - { name: "Microsoft", period: "Three Months", frequency: 48.3 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
+  - { name: "Google", period: "Three Months", frequency: 17.3 }
+  - { name: "Amazon", period: "Six Months", frequency: 20.9 }
 sidebar:
   label: 'Sort Characters By Frequency'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/hash-table/49_group-anagrams.mdx

@@ -9,6 +9,31 @@ topics:
   - { name: "Sorting", slug: "sorting" }
 video: "vzdNOK2oB2E"
 issue: "https://github.com/prdlk/leetcode/issues/30"
+companies:
+  - { name: "Apple", period: "Thirty Days", frequency: 100 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 78.4 }
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 76.7 }
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "tcs", period: "Thirty Days", frequency: 58.2 }
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Google", period: "Thirty Days", frequency: 50.2 }
+  - { name: "CrowdStrike", period: "Three Months", frequency: 100 }
+  - { name: "Deloitte", period: "Three Months", frequency: 100 }
+  - { name: "HashedIn", period: "Three Months", frequency: 100 }
+  - { name: "Smartsheet", period: "Three Months", frequency: 100 }
+  - { name: "Walmart Labs", period: "Three Months", frequency: 100 }
+  - { name: "Microsoft", period: "Three Months", frequency: 33.4 }
+  - { name: "Expedia", period: "Six Months", frequency: 100 }
+  - { name: "Wipro", period: "Six Months", frequency: 100 }
+  - { name: "Adobe", period: "Six Months", frequency: 93.7 }
+  - { name: "Zoho", period: "Six Months", frequency: 79.6 }
+  - { name: "Nvidia", period: "Six Months", frequency: 78.7 }
+  - { name: "Oracle", period: "Six Months", frequency: 78.7 }
+  - { name: "EPAM Systems", period: "Six Months", frequency: 76.2 }
+  - { name: "Palo Alto Networks", period: "Six Months", frequency: 75.9 }
+  - { name: "Visa", period: "Six Months", frequency: 69.7 }
+  - { name: "Infosys", period: "Six Months", frequency: 67.9 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
 sidebar:
   label: 'Group Anagrams'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/monotonic-stack/496_next-greater-element-i.mdx

@@ -8,6 +8,13 @@ topics:
   - { name: "Stack", slug: "stack" }
   - { name: "Monotonic Stack", slug: "monotonic-stack" }
 issue: "https://github.com/prdlk/leetcode/issues/74"
+companies:
+  - { name: "Google", period: "Thirty Days", frequency: 46.6 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 59.7 }
+  - { name: "Meta", period: "Three Months", frequency: 43.3 }
+  - { name: "Microsoft", period: "Three Months", frequency: 33.4 }
+  - { name: "tcs", period: "Six Months", frequency: 43.5 }
 sidebar:
   label: 'Next Greater Element I'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/monotonic-stack/739_daily-temperatures.mdx

@@ -8,6 +8,16 @@ topics:
   - { name: "Monotonic Stack", slug: "monotonic-stack" }
 video: "cTBiBSnjO3c"
 issue: "https://github.com/prdlk/leetcode/issues/72"
+companies:
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Chime", period: "Three Months", frequency: 100 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 59.7 }
+  - { name: "Amazon", period: "Three Months", frequency: 42.8 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Anduril", period: "Six Months", frequency: 92.8 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
+  - { name: "tcs", period: "Six Months", frequency: 43.5 }
+  - { name: "Microsoft", period: "Six Months", frequency: 42.5 }
 sidebar:
   label: 'Daily Temperatures'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/monotonic-stack/84_largest-rectangle-in-histogram.mdx

@@ -8,6 +8,14 @@ topics:
   - { name: "Monotonic Stack", slug: "monotonic-stack" }
   - { name: "Range Minimum/Maximum Query", slug: "range-minimum-maximum-query" }
 issue: "https://github.com/prdlk/leetcode/issues/76"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Accenture", period: "Three Months", frequency: 88.6 }
+  - { name: "tcs", period: "Three Months", frequency: 73.7 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
 sidebar:
   label: 'Largest Rectangle in Histogram'
   badge: 'Hard'

apps/docs/content/(01-linear-structures)/monotonic-stack/853_car-fleet.mdx

@@ -9,6 +9,9 @@ topics:
   - { name: "Monotonic Stack", slug: "monotonic-stack" }
 video: "Pr6T-3yB9RM"
 issue: "https://github.com/prdlk/leetcode/issues/73"
+companies:
+  - { name: "Google", period: "Three Months", frequency: 17.3 }
+  - { name: "Amazon", period: "Six Months", frequency: 26 }
 sidebar:
   label: 'Car Fleet'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/monotonic-stack/901_online-stock-span.mdx

@@ -8,6 +8,11 @@ topics:
   - { name: "Monotonic Stack", slug: "monotonic-stack" }
   - { name: "Data Stream", slug: "data-stream" }
 issue: "https://github.com/prdlk/leetcode/issues/75"
+companies:
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Google", period: "Three Months", frequency: 17.3 }
+  - { name: "Amazon", period: "Six Months", frequency: 26 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
 sidebar:
   label: 'Online Stock Span'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/prefix-sum/238_product-of-array-except-self.mdx

@@ -7,6 +7,14 @@ topics:
   - { name: "Prefix Sum", slug: "prefix-sum" }
 video: "bNvIQI2wAjk"
 issue: "https://github.com/prdlk/leetcode/issues/37"
+companies:
+  - { name: "Meta", period: "Thirty Days", frequency: 70.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 61.3 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
+  - { name: "Google", period: "Thirty Days", frequency: 42.3 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 59.7 }
+  - { name: "Asana", period: "Six Months", frequency: 100 }
+  - { name: "tcs", period: "Six Months", frequency: 43.5 }
 sidebar:
   label: 'Product of Array Except Self'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/prefix-sum/303_range-sum-query-immutable.mdx

@@ -8,6 +8,11 @@ topics:
   - { name: "Prefix Sum", slug: "prefix-sum" }
 video: "2pndAmo_sMA"
 issue: "https://github.com/prdlk/leetcode/issues/36"
+companies:
+  - { name: "Google", period: "Thirty Days", frequency: 42.3 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Meta", period: "Six Months", frequency: 24.5 }
+  - { name: "Microsoft", period: "Six Months", frequency: 24.1 }
 sidebar:
   label: 'Range Sum Query - Immutable'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/prefix-sum/525_contiguous-array.mdx

@@ -7,6 +7,14 @@ topics:
   - { name: "Hash Table", slug: "hash-table" }
   - { name: "Prefix Sum", slug: "prefix-sum" }
 issue: "https://github.com/prdlk/leetcode/issues/39"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Cisco", period: "Three Months", frequency: 100 }
+  - { name: "Meta", period: "Three Months", frequency: 49.8 }
+  - { name: "Google", period: "Three Months", frequency: 17.3 }
+  - { name: "Akamai", period: "Six Months", frequency: 100 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 40.6 }
+  - { name: "Microsoft", period: "Six Months", frequency: 32 }
 sidebar:
   label: 'Contiguous Array'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/prefix-sum/560_subarray-sum-equals-k.mdx

@@ -8,6 +8,21 @@ topics:
   - { name: "Prefix Sum", slug: "prefix-sum" }
 video: "fFVZt-6sgyo"
 issue: "https://github.com/prdlk/leetcode/issues/38"
+companies:
+  - { name: "Meta", period: "Thirty Days", frequency: 63.8 }
+  - { name: "Google", period: "Thirty Days", frequency: 50.2 }
+  - { name: "Visa", period: "Three Months", frequency: 80.9 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 74.8 }
+  - { name: "Salesforce", period: "Three Months", frequency: 64.7 }
+  - { name: "Amazon", period: "Three Months", frequency: 57.1 }
+  - { name: "Microsoft", period: "Three Months", frequency: 48.3 }
+  - { name: "Accenture", period: "Six Months", frequency: 100 }
+  - { name: "IBM", period: "Six Months", frequency: 94.5 }
+  - { name: "Infosys", period: "Six Months", frequency: 76.3 }
+  - { name: "Apple", period: "Six Months", frequency: 74.7 }
+  - { name: "josh technology", period: "Six Months", frequency: 74 }
+  - { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
+  - { name: "Yandex", period: "Six Months", frequency: 69.2 }
 sidebar:
   label: 'Subarray Sum Equals K'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/prefix-sum/974_subarray-sums-divisible-by-k.mdx

@@ -7,6 +7,12 @@ topics:
   - { name: "Hash Table", slug: "hash-table" }
   - { name: "Prefix Sum", slug: "prefix-sum" }
 issue: "https://github.com/prdlk/leetcode/issues/40"
+companies:
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "TikTok", period: "Three Months", frequency: 70.9 }
+  - { name: "Amazon", period: "Three Months", frequency: 21.2 }
+  - { name: "Microsoft", period: "Six Months", frequency: 24.1 }
 sidebar:
   label: 'Subarray Sums Divisible by K'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/sliding-window/1004_max-consecutive-ones-iii.mdx

@@ -8,6 +8,17 @@ topics:
   - { name: "Sliding Window", slug: "sliding-window" }
   - { name: "Prefix Sum", slug: "prefix-sum" }
 issue: "https://github.com/prdlk/leetcode/issues/56"
+companies:
+  - { name: "EPAM Systems", period: "Thirty Days", frequency: 89.8 }
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Tekion", period: "Three Months", frequency: 100 }
+  - { name: "DE Shaw", period: "Three Months", frequency: 80.2 }
+  - { name: "Google", period: "Three Months", frequency: 38.7 }
+  - { name: "Infosys", period: "Six Months", frequency: 67.9 }
+  - { name: "Yandex", period: "Six Months", frequency: 59.6 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 54.1 }
+  - { name: "Microsoft", period: "Six Months", frequency: 42.5 }
 sidebar:
   label: 'Max Consecutive Ones III'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/sliding-window/121_best-time-to-buy-and-sell-stock.mdx

@@ -7,6 +7,26 @@ topics:
   - { name: "Dynamic Programming", slug: "dynamic-programming" }
 video: "1pkOgXD63yU"
 issue: "https://github.com/prdlk/leetcode/issues/50"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
+  - { name: "Infosys", period: "Thirty Days", frequency: 80.2 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
+  - { name: "Google", period: "Thirty Days", frequency: 65.3 }
+  - { name: "tcs", period: "Thirty Days", frequency: 58.2 }
+  - { name: "Atlassian", period: "Three Months", frequency: 100 }
+  - { name: "Media.net", period: "Three Months", frequency: 100 }
+  - { name: "Nvidia", period: "Three Months", frequency: 87.7 }
+  - { name: "Meta", period: "Three Months", frequency: 70.4 }
+  - { name: "Apple", period: "Three Months", frequency: 69 }
+  - { name: "Microsoft", period: "Three Months", frequency: 60.5 }
+  - { name: "Mastercard", period: "Six Months", frequency: 79 }
+  - { name: "Accenture", period: "Six Months", frequency: 75 }
+  - { name: "Adobe", period: "Six Months", frequency: 74.3 }
+  - { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
+  - { name: "IBM", period: "Six Months", frequency: 70.1 }
+  - { name: "TikTok", period: "Six Months", frequency: 55.2 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
 sidebar:
   label: 'Best Time to Buy and Sell Stock'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/sliding-window/209_minimum-size-subarray-sum.mdx

@@ -8,6 +8,12 @@ topics:
   - { name: "Sliding Window", slug: "sliding-window" }
   - { name: "Prefix Sum", slug: "prefix-sum" }
 issue: "https://github.com/prdlk/leetcode/issues/54"
+companies:
+  - { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
+  - { name: "Google", period: "Three Months", frequency: 45 }
+  - { name: "Amazon", period: "Three Months", frequency: 28.9 }
 sidebar:
   label: 'Minimum Size Subarray Sum'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/sliding-window/3_longest-substring-without-repeating-characters.mdx

@@ -8,6 +8,35 @@ topics:
   - { name: "Sliding Window", slug: "sliding-window" }
 video: "wiGpQwVHdE0"
 issue: "https://github.com/prdlk/leetcode/issues/51"
+companies:
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 100 }
+  - { name: "Visa", period: "Thirty Days", frequency: 100 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 84.9 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 75.6 }
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Meta", period: "Thirty Days", frequency: 63.8 }
+  - { name: "Google", period: "Thirty Days", frequency: 63.7 }
+  - { name: "tcs", period: "Thirty Days", frequency: 58.2 }
+  - { name: "Cognizant", period: "Three Months", frequency: 100 }
+  - { name: "Optum", period: "Three Months", frequency: 100 }
+  - { name: "Spotify", period: "Three Months", frequency: 100 }
+  - { name: "Deloitte", period: "Three Months", frequency: 89.1 }
+  - { name: "Infosys", period: "Three Months", frequency: 87.4 }
+  - { name: "Apple", period: "Three Months", frequency: 69 }
+  - { name: "Goldman Sachs", period: "Three Months", frequency: 66.3 }
+  - { name: "Media.net", period: "Six Months", frequency: 100 }
+  - { name: "Wipro", period: "Six Months", frequency: 100 }
+  - { name: "Wissen Technology", period: "Six Months", frequency: 100 }
+  - { name: "Zoho", period: "Six Months", frequency: 100 }
+  - { name: "Qualcomm", period: "Six Months", frequency: 92 }
+  - { name: "Turing", period: "Six Months", frequency: 89 }
+  - { name: "EPAM Systems", period: "Six Months", frequency: 86.7 }
+  - { name: "Netflix", period: "Six Months", frequency: 83.1 }
+  - { name: "Tesla", period: "Six Months", frequency: 80.9 }
+  - { name: "Yandex", period: "Six Months", frequency: 69.2 }
+  - { name: "Agoda", period: "Six Months", frequency: 65 }
+  - { name: "IBM", period: "Six Months", frequency: 60.1 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 54.1 }
 sidebar:
   label: 'Longest Substring Without Repeating Characters'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/sliding-window/424_longest-repeating-character-replacement.mdx

@@ -8,6 +8,15 @@ topics:
   - { name: "Sliding Window", slug: "sliding-window" }
 video: "gqXU1UyA8pk"
 issue: "https://github.com/prdlk/leetcode/issues/52"
+companies:
+  - { name: "Zoho", period: "Thirty Days", frequency: 100 }
+  - { name: "Google", period: "Thirty Days", frequency: 46.6 }
+  - { name: "DE Shaw", period: "Three Months", frequency: 91.8 }
+  - { name: "Infosys", period: "Three Months", frequency: 66 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Amazon", period: "Three Months", frequency: 34.6 }
+  - { name: "Meta", period: "Six Months", frequency: 32.7 }
 sidebar:
   label: 'Longest Repeating Character Replacement'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/sliding-window/567_permutation-in-string.mdx

@@ -9,6 +9,14 @@ topics:
   - { name: "Sliding Window", slug: "sliding-window" }
 video: "UbyhOgBN834"
 issue: "https://github.com/prdlk/leetcode/issues/53"
+companies:
+  - { name: "Meta", period: "Thirty Days", frequency: 63.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
+  - { name: "tcs", period: "Three Months", frequency: 47.7 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
+  - { name: "Microsoft", period: "Three Months", frequency: 33.4 }
+  - { name: "Google", period: "Three Months", frequency: 17.3 }
+  - { name: "Apple", period: "Six Months", frequency: 48.1 }
 sidebar:
   label: 'Permutation in String'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/sliding-window/643_maximum-average-subarray-i.mdx

@@ -6,6 +6,13 @@ topics:
   - { name: "Array", slug: "array" }
   - { name: "Sliding Window", slug: "sliding-window" }
 issue: "https://github.com/prdlk/leetcode/issues/55"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 55.9 }
+  - { name: "Google", period: "Thirty Days", frequency: 36.7 }
+  - { name: "tcs", period: "Three Months", frequency: 57.2 }
+  - { name: "Meta", period: "Six Months", frequency: 32.7 }
 sidebar:
   label: 'Maximum Average Subarray I'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/sliding-window/76_minimum-window-substring.mdx

@@ -7,6 +7,15 @@ topics:
   - { name: "String", slug: "string" }
   - { name: "Sliding Window", slug: "sliding-window" }
 issue: "https://github.com/prdlk/leetcode/issues/57"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 55.9 }
+  - { name: "Lyft", period: "Three Months", frequency: 93.3 }
+  - { name: "Microsoft", period: "Three Months", frequency: 48.3 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Google", period: "Three Months", frequency: 23.9 }
+  - { name: "Oracle", period: "Six Months", frequency: 78.7 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
 sidebar:
   label: 'Minimum Window Substring'
   badge: 'Hard'

apps/docs/content/(01-linear-structures)/stack/150_evaluate-reverse-polish-notation.mdx

@@ -8,6 +8,12 @@ topics:
   - { name: "Stack", slug: "stack" }
 video: "iu0082c4HDE"
 issue: "https://github.com/prdlk/leetcode/issues/69"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Google", period: "Three Months", frequency: 17.3 }
+  - { name: "Yandex", period: "Six Months", frequency: 59.6 }
+  - { name: "Meta", period: "Six Months", frequency: 38.7 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
 sidebar:
   label: 'Evaluate Reverse Polish Notation'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/stack/155_min-stack.mdx

@@ -7,6 +7,15 @@ topics:
   - { name: "Design", slug: "design" }
 video: "qkLl7nAwDPo"
 issue: "https://github.com/prdlk/leetcode/issues/68"
+companies:
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Amazon", period: "Three Months", frequency: 28.9 }
+  - { name: "Google", period: "Three Months", frequency: 28.8 }
+  - { name: "Odoo", period: "Six Months", frequency: 100 }
+  - { name: "UiPath", period: "Six Months", frequency: 100 }
+  - { name: "Infosys", period: "Six Months", frequency: 67.9 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 45.6 }
 sidebar:
   label: 'Min Stack'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/stack/20_valid-parentheses.mdx

@@ -8,6 +8,24 @@ topics:
   - { name: "Bracket Sequences", slug: "bracket-sequences" }
 video: "WTzjTskDFMg"
 issue: "https://github.com/prdlk/leetcode/issues/67"
+companies:
+  - { name: "BlackRock", period: "Thirty Days", frequency: 100 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 61.3 }
+  - { name: "Google", period: "Thirty Days", frequency: 42.3 }
+  - { name: "Accolite", period: "Three Months", frequency: 100 }
+  - { name: "Intuit", period: "Three Months", frequency: 73.2 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 68.3 }
+  - { name: "Meta", period: "Three Months", frequency: 65.3 }
+  - { name: "tcs", period: "Three Months", frequency: 57.2 }
+  - { name: "Autodesk", period: "Six Months", frequency: 100 }
+  - { name: "Criteo", period: "Six Months", frequency: 100 }
+  - { name: "Odoo", period: "Six Months", frequency: 100 }
+  - { name: "Tripadvisor", period: "Six Months", frequency: 100 }
+  - { name: "Virtu Financial", period: "Six Months", frequency: 100 }
+  - { name: "IBM", period: "Six Months", frequency: 91.1 }
+  - { name: "Epic Systems", period: "Six Months", frequency: 89.6 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 85.6 }
 sidebar:
   label: 'Valid Parentheses'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/stack/224_basic-calculator.mdx

@@ -8,6 +8,12 @@ topics:
   - { name: "Stack", slug: "stack" }
   - { name: "Recursion", slug: "recursion" }
 issue: "https://github.com/prdlk/leetcode/issues/71"
+companies:
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Amazon", period: "Three Months", frequency: 28.9 }
+  - { name: "Google", period: "Three Months", frequency: 23.9 }
+  - { name: "Meta", period: "Six Months", frequency: 24.5 }
 sidebar:
   label: 'Basic Calculator'
   badge: 'Hard'

apps/docs/content/(01-linear-structures)/stack/71_simplify-path.mdx

@@ -6,6 +6,13 @@ topics:
   - { name: "String", slug: "string" }
   - { name: "Stack", slug: "stack" }
 issue: "https://github.com/prdlk/leetcode/issues/70"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Google", period: "Three Months", frequency: 28.8 }
+  - { name: "Amazon", period: "Three Months", frequency: 21.2 }
+  - { name: "Snowflake", period: "Six Months", frequency: 58.7 }
+  - { name: "Meta", period: "Six Months", frequency: 50.6 }
+  - { name: "Microsoft", period: "Six Months", frequency: 24.1 }
 sidebar:
   label: 'Simplify Path'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/two-pointers/11_container-with-most-water.mdx

@@ -8,6 +8,18 @@ topics:
   - { name: "Greedy", slug: "greedy" }
 video: "UuiTKBwPgAo"
 issue: "https://github.com/prdlk/leetcode/issues/44"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 75.8 }
+  - { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
+  - { name: "tcs", period: "Thirty Days", frequency: 67.6 }
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
+  - { name: "Google", period: "Thirty Days", frequency: 62 }
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Goldman Sachs", period: "Three Months", frequency: 57 }
+  - { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
+  - { name: "IBM", period: "Six Months", frequency: 60.1 }
 sidebar:
   label: 'Container With Most Water'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/two-pointers/125_valid-palindrome.mdx

@@ -7,6 +7,18 @@ topics:
   - { name: "String", slug: "string" }
 video: "jJXJ16kPFWg"
 issue: "https://github.com/prdlk/leetcode/issues/41"
+companies:
+  - { name: "tcs", period: "Thirty Days", frequency: 58.2 }
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 79.9 }
+  - { name: "Infosys", period: "Three Months", frequency: 66 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Deloitte", period: "Six Months", frequency: 81 }
+  - { name: "Cognizant", period: "Six Months", frequency: 76.3 }
+  - { name: "Axon", period: "Six Months", frequency: 75.4 }
+  - { name: "Apple", period: "Six Months", frequency: 64.8 }
 sidebar:
   label: 'Valid Palindrome'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/two-pointers/15_3sum.mdx

@@ -8,6 +8,22 @@ topics:
   - { name: "Sorting", slug: "sorting" }
 video: "jzZsG8n2R9A"
 issue: "https://github.com/prdlk/leetcode/issues/43"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
+  - { name: "Google", period: "Thirty Days", frequency: 66.8 }
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
+  - { name: "Meta", period: "Thirty Days", frequency: 63.8 }
+  - { name: "Apple", period: "Three Months", frequency: 80.4 }
+  - { name: "Infosys", period: "Three Months", frequency: 66 }
+  - { name: "tcs", period: "Three Months", frequency: 57.2 }
+  - { name: "Cisco", period: "Six Months", frequency: 100 }
+  - { name: "Wissen Technology", period: "Six Months", frequency: 100 }
+  - { name: "eBay", period: "Six Months", frequency: 75.2 }
+  - { name: "Accenture", period: "Six Months", frequency: 75 }
+  - { name: "Visa", period: "Six Months", frequency: 69.7 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 53.1 }
 sidebar:
   label: '3Sum'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/two-pointers/167_two-sum-ii-input-array-is-sorted.mdx

@@ -8,6 +8,14 @@ topics:
   - { name: "Binary Search", slug: "binary-search" }
 video: "cQ1Oz4ckceM"
 issue: "https://github.com/prdlk/leetcode/issues/42"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 65.8 }
+  - { name: "Google", period: "Thirty Days", frequency: 46.6 }
+  - { name: "tcs", period: "Three Months", frequency: 57.2 }
+  - { name: "Meta", period: "Three Months", frequency: 54.8 }
+  - { name: "Microsoft", period: "Three Months", frequency: 33.4 }
+  - { name: "Oracle", period: "Six Months", frequency: 78.7 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 40.6 }
 sidebar:
   label: 'Two Sum II - Input Array Is Sorted'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/two-pointers/189_rotate-array.mdx

@@ -7,6 +7,17 @@ topics:
   - { name: "Math", slug: "math" }
   - { name: "Two Pointers", slug: "two-pointers" }
 issue: "https://github.com/prdlk/leetcode/issues/47"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
+  - { name: "Google", period: "Thirty Days", frequency: 46.6 }
+  - { name: "Infosys", period: "Three Months", frequency: 66 }
+  - { name: "tcs", period: "Three Months", frequency: 57.2 }
+  - { name: "Meta", period: "Three Months", frequency: 54.8 }
+  - { name: "Box", period: "Six Months", frequency: 100 }
+  - { name: "TikTok", period: "Six Months", frequency: 55.2 }
+  - { name: "Apple", period: "Six Months", frequency: 48.1 }
 sidebar:
   label: 'Rotate Array'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/two-pointers/344_reverse-string.mdx

@@ -6,6 +6,14 @@ topics:
   - { name: "Two Pointers", slug: "two-pointers" }
   - { name: "String", slug: "string" }
 video: "_d0T_2Lk2qA"
+companies:
+  - { name: "tcs", period: "Thirty Days", frequency: 58.2 }
+  - { name: "Google", period: "Thirty Days", frequency: 50.2 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Microsoft", period: "Three Months", frequency: 48.3 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Qualcomm", period: "Six Months", frequency: 80.7 }
 sidebar:
   label: 'Reverse String'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/two-pointers/392_is-subsequence.mdx

@@ -8,6 +8,12 @@ topics:
   - { name: "Dynamic Programming", slug: "dynamic-programming" }
 video: "99RVfqklbCE"
 issue: "https://github.com/prdlk/leetcode/issues/45"
+companies:
+  - { name: "Amazon", period: "Three Months", frequency: 34.6 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
+  - { name: "Google", period: "Six Months", frequency: 25.4 }
+  - { name: "Meta", period: "Six Months", frequency: 24.5 }
+  - { name: "Microsoft", period: "Six Months", frequency: 24.1 }
 sidebar:
   label: 'Is Subsequence'
   badge: 'Easy'

apps/docs/content/(01-linear-structures)/two-pointers/42_trapping-rain-water.mdx

@@ -9,6 +9,20 @@ topics:
   - { name: "Stack", slug: "stack" }
   - { name: "Monotonic Stack", slug: "monotonic-stack" }
 issue: "https://github.com/prdlk/leetcode/issues/211"
+companies:
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 90.7 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 80.7 }
+  - { name: "Goldman Sachs", period: "Thirty Days", frequency: 71.7 }
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
+  - { name: "Google", period: "Thirty Days", frequency: 63.7 }
+  - { name: "Snowflake", period: "Three Months", frequency: 90.3 }
+  - { name: "Meta", period: "Three Months", frequency: 58.9 }
+  - { name: "Microsoft", period: "Three Months", frequency: 57.2 }
+  - { name: "tcs", period: "Three Months", frequency: 47.7 }
+  - { name: "Docusign", period: "Six Months", frequency: 100 }
+  - { name: "Qualcomm", period: "Six Months", frequency: 80.7 }
+  - { name: "Nvidia", period: "Six Months", frequency: 78.7 }
 sidebar:
   label: 'Trapping Rain Water'
   badge: 'Hard'

apps/docs/content/(01-linear-structures)/two-pointers/80_remove-duplicates-from-sorted-array-ii.mdx

@@ -6,6 +6,10 @@ topics:
   - { name: "Array", slug: "array" }
   - { name: "Two Pointers", slug: "two-pointers" }
 issue: "https://github.com/prdlk/leetcode/issues/48"
+companies:
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Amazon", period: "Three Months", frequency: 34.6 }
+  - { name: "Meta", period: "Six Months", frequency: 32.7 }
 sidebar:
   label: 'Remove Duplicates from Sorted Array II'
   badge: 'Medium'

apps/docs/content/(01-linear-structures)/two-pointers/977_squares-of-a-sorted-array.mdx

@@ -8,6 +8,15 @@ topics:
   - { name: "Sorting", slug: "sorting" }
 video: "FPCZsG_AkUg"
 issue: "https://github.com/prdlk/leetcode/issues/46"
+companies:
+  - { name: "Google", period: "Thirty Days", frequency: 42.3 }
+  - { name: "Instacart", period: "Three Months", frequency: 100 }
+  - { name: "Uber", period: "Three Months", frequency: 80 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "Meta", period: "Three Months", frequency: 49.8 }
+  - { name: "Amazon", period: "Three Months", frequency: 46 }
+  - { name: "tcs", period: "Six Months", frequency: 60 }
+  - { name: "Yandex", period: "Six Months", frequency: 59.6 }
 sidebar:
   label: 'Squares of a Sorted Array'
   badge: 'Easy'

apps/docs/content/(02-nodal-grid)/hybrid-structures/146_lru-cache.mdx

@@ -9,6 +9,35 @@ topics:
   - { name: "Doubly-Linked List", slug: "doubly-linked-list" }
 video: "7ABFKPK2hD4"
 issue: "https://github.com/prdlk/leetcode/issues/87"
+companies:
+  - { name: "NetApp", period: "Thirty Days", frequency: 100 }
+  - { name: "Adobe", period: "Thirty Days", frequency: 83.5 }
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Google", period: "Thirty Days", frequency: 36.7 }
+  - { name: "TikTok", period: "Three Months", frequency: 100 }
+  - { name: "Palo Alto Networks", period: "Three Months", frequency: 92.8 }
+  - { name: "Apple", period: "Three Months", frequency: 88.5 }
+  - { name: "Goldman Sachs", period: "Three Months", frequency: 66.3 }
+  - { name: "Microsoft", period: "Three Months", frequency: 53.2 }
+  - { name: "Airwallex", period: "Six Months", frequency: 100 }
+  - { name: "Docusign", period: "Six Months", frequency: 100 }
+  - { name: "Moloco", period: "Six Months", frequency: 100 }
+  - { name: "Nutanix", period: "Six Months", frequency: 100 }
+  - { name: "Oracle", period: "Six Months", frequency: 100 }
+  - { name: "Twitch", period: "Six Months", frequency: 100 }
+  - { name: "Snap", period: "Six Months", frequency: 92.4 }
+  - { name: "Qualcomm", period: "Six Months", frequency: 92 }
+  - { name: "Nvidia", period: "Six Months", frequency: 91.1 }
+  - { name: "ByteDance", period: "Six Months", frequency: 88.6 }
+  - { name: "MongoDB", period: "Six Months", frequency: 87.7 }
+  - { name: "Expedia", period: "Six Months", frequency: 87.5 }
+  - { name: "eBay", period: "Six Months", frequency: 86.1 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 74.9 }
+  - { name: "Visa", period: "Six Months", frequency: 69.7 }
+  - { name: "Uber", period: "Six Months", frequency: 61.9 }
+  - { name: "Salesforce", period: "Six Months", frequency: 50.2 }
 sidebar:
   label: 'LRU Cache'
   badge: 'Medium'

apps/docs/content/(02-nodal-grid)/hybrid-structures/2_add-two-numbers.mdx

@@ -8,6 +8,17 @@ topics:
   - { name: "Recursion", slug: "recursion" }
 video: "wgFPrzTjm7s"
 issue: "https://github.com/prdlk/leetcode/issues/88"
+companies:
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 95.8 }
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
+  - { name: "Google", period: "Thirty Days", frequency: 72.8 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
+  - { name: "Meta", period: "Thirty Days", frequency: 63.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 61.3 }
+  - { name: "EarnIn", period: "Six Months", frequency: 100 }
+  - { name: "Jane Street", period: "Six Months", frequency: 100 }
+  - { name: "Palo Alto Networks", period: "Six Months", frequency: 75.9 }
+  - { name: "tcs", period: "Six Months", frequency: 43.5 }
 sidebar:
   label: 'Add Two Numbers'
   badge: 'Medium'

apps/docs/content/(02-nodal-grid)/hybrid-structures/380_insert-delete-getrandom-o1.mdx

@@ -9,6 +9,19 @@ topics:
   - { name: "Design", slug: "design" }
   - { name: "Randomized", slug: "randomized" }
 issue: "https://github.com/prdlk/leetcode/issues/90"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Apple", period: "Three Months", frequency: 80.4 }
+  - { name: "Google", period: "Three Months", frequency: 32.7 }
+  - { name: "Axon", period: "Six Months", frequency: 100 }
+  - { name: "Okta", period: "Six Months", frequency: 100 }
+  - { name: "Quora", period: "Six Months", frequency: 100 }
+  - { name: "SoFi", period: "Six Months", frequency: 100 }
+  - { name: "Uber", period: "Six Months", frequency: 61.9 }
+  - { name: "Yandex", period: "Six Months", frequency: 59.6 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 54.1 }
+  - { name: "Microsoft", period: "Six Months", frequency: 24.1 }
 sidebar:
   label: 'Insert Delete GetRandom O(1)'
   badge: 'Medium'

apps/docs/content/(02-nodal-grid)/linked-list/141_linked-list-cycle.mdx

@@ -9,6 +9,13 @@ topics:
   - { name: "Floyd's Cycle Finding Algorithm", slug: "floyds-cycle-finding-algorithm" }
 video: "gBTe7lFR3vc"
 issue: "https://github.com/prdlk/leetcode/issues/79"
+companies:
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Nvidia", period: "Three Months", frequency: 87.7 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
 sidebar:
   label: 'Linked List Cycle'
   badge: 'Easy'

apps/docs/content/(02-nodal-grid)/linked-list/143_reorder-list.mdx

@@ -8,6 +8,12 @@ topics:
   - { name: "Stack", slug: "stack" }
   - { name: "Recursion", slug: "recursion" }
 issue: "https://github.com/prdlk/leetcode/issues/81"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Google", period: "Thirty Days", frequency: 42.3 }
+  - { name: "Microsoft", period: "Three Months", frequency: 48.3 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Amazon", period: "Three Months", frequency: 21.2 }
 sidebar:
   label: 'Reorder List'
   badge: 'Medium'

apps/docs/content/(02-nodal-grid)/linked-list/19_remove-nth-node-from-end-of-list.mdx

@@ -6,6 +6,12 @@ topics:
   - { name: "Linked List", slug: "linked-list" }
   - { name: "Two Pointers", slug: "two-pointers" }
 issue: "https://github.com/prdlk/leetcode/issues/80"
+companies:
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Amazon", period: "Three Months", frequency: 51.1 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
+  - { name: "Meta", period: "Three Months", frequency: 43.3 }
+  - { name: "Microsoft", period: "Six Months", frequency: 24.1 }
 sidebar:
   label: 'Remove Nth Node From End of List'
   badge: 'Medium'

apps/docs/content/(02-nodal-grid)/linked-list/206_reverse-linked-list.mdx

@@ -7,6 +7,16 @@ topics:
   - { name: "Recursion", slug: "recursion" }
 video: "G0_I-ZF0S38"
 issue: "https://github.com/prdlk/leetcode/issues/77"
+companies:
+  - { name: "Google", period: "Thirty Days", frequency: 50.2 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Nokia", period: "Three Months", frequency: 100 }
+  - { name: "Infosys", period: "Three Months", frequency: 66 }
+  - { name: "tcs", period: "Three Months", frequency: 57.2 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Apple", period: "Six Months", frequency: 78.4 }
 sidebar:
   label: 'Reverse Linked List'
   badge: 'Easy'

apps/docs/content/(02-nodal-grid)/linked-list/21_merge-two-sorted-lists.mdx

@@ -7,6 +7,13 @@ topics:
   - { name: "Recursion", slug: "recursion" }
 video: "XIdigk956u0"
 issue: "https://github.com/prdlk/leetcode/issues/78"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Accenture", period: "Six Months", frequency: 75 }
 sidebar:
   label: 'Merge Two Sorted Lists'
   badge: 'Easy'

apps/docs/content/(02-nodal-grid)/linked-list/82_remove-duplicates-from-sorted-list-ii.mdx

@@ -6,6 +6,11 @@ topics:
   - { name: "Linked List", slug: "linked-list" }
   - { name: "Two Pointers", slug: "two-pointers" }
 issue: "https://github.com/prdlk/leetcode/issues/84"
+companies:
+  - { name: "Amazon", period: "Three Months", frequency: 34.6 }
+  - { name: "Google", period: "Three Months", frequency: 23.9 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 34.2 }
+  - { name: "Meta", period: "Six Months", frequency: 24.5 }
 sidebar:
   label: 'Remove Duplicates from Sorted List II'
   badge: 'Medium'

apps/docs/content/(02-nodal-grid)/linked-list/876_middle-of-the-linked-list.mdx

@@ -6,6 +6,13 @@ topics:
   - { name: "Linked List", slug: "linked-list" }
   - { name: "Two Pointers", slug: "two-pointers" }
 issue: "https://github.com/prdlk/leetcode/issues/82"
+companies:
+  - { name: "Google", period: "Thirty Days", frequency: 50.2 }
+  - { name: "Meta", period: "Three Months", frequency: 49.8 }
+  - { name: "Amazon", period: "Three Months", frequency: 39.1 }
+  - { name: "IBM", period: "Six Months", frequency: 60.1 }
+  - { name: "Microsoft", period: "Six Months", frequency: 37.9 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
 sidebar:
   label: 'Middle of the Linked List'
   badge: 'Easy'

apps/docs/content/(02-nodal-grid)/linked-list/92_reverse-linked-list-ii.mdx

@@ -5,6 +5,11 @@ icon: dot
 topics:
   - { name: "Linked List", slug: "linked-list" }
 issue: "https://github.com/prdlk/leetcode/issues/83"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Google", period: "Three Months", frequency: 28.8 }
 sidebar:
   label: 'Reverse Linked List II'
   badge: 'Medium'

apps/docs/content/(02-nodal-grid)/matrix-index-math/36_valid-sudoku.mdx

@@ -7,6 +7,14 @@ topics:
   - { name: "Hash Table", slug: "hash-table" }
   - { name: "Matrix", slug: "matrix" }
 issue: "https://github.com/prdlk/leetcode/issues/94"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
+  - { name: "Apple", period: "Three Months", frequency: 69 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
+  - { name: "Google", period: "Three Months", frequency: 23.9 }
+  - { name: "Confluent", period: "Six Months", frequency: 100 }
+  - { name: "Meta", period: "Six Months", frequency: 32.7 }
+  - { name: "Microsoft", period: "Six Months", frequency: 32 }
 sidebar:
   label: 'Valid Sudoku'
   badge: 'Medium'

apps/docs/content/(02-nodal-grid)/matrix-index-math/48_rotate-image.mdx

@@ -8,6 +8,15 @@ topics:
   - { name: "Matrix", slug: "matrix" }
 video: "fMSJSS7eO1w"
 issue: "https://github.com/prdlk/leetcode/issues/91"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Google", period: "Three Months", frequency: 51.1 }
+  - { name: "Meta", period: "Three Months", frequency: 43.3 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Apple", period: "Six Months", frequency: 64.8 }
+  - { name: "Capital One", period: "Six Months", frequency: 64.2 }
+  - { name: "IBM", period: "Six Months", frequency: 60.1 }
 sidebar:
   label: 'Rotate Image'
   badge: 'Medium'

apps/docs/content/(02-nodal-grid)/matrix-index-math/54_spiral-matrix.mdx

@@ -8,6 +8,17 @@ topics:
   - { name: "Simulation", slug: "simulation" }
 video: "BJnMZNwUk1M"
 issue: "https://github.com/prdlk/leetcode/issues/92"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
+  - { name: "Google", period: "Thirty Days", frequency: 36.7 }
+  - { name: "Amazon", period: "Three Months", frequency: 46 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Capital One", period: "Six Months", frequency: 73.8 }
+  - { name: "tcs", period: "Six Months", frequency: 69.7 }
+  - { name: "Apple", period: "Six Months", frequency: 64.8 }
+  - { name: "Infosys", period: "Six Months", frequency: 56.2 }
+  - { name: "TikTok", period: "Six Months", frequency: 55.2 }
 sidebar:
   label: 'Spiral Matrix'
   badge: 'Medium'

apps/docs/content/(02-nodal-grid)/matrix-index-math/73_set-matrix-zeroes.mdx

@@ -8,6 +8,13 @@ topics:
   - { name: "Matrix", slug: "matrix" }
 video: "T41rL0L3Pnw"
 issue: "https://github.com/prdlk/leetcode/issues/93"
+companies:
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "Amazon", period: "Three Months", frequency: 48.7 }
+  - { name: "Meta", period: "Three Months", frequency: 43.3 }
+  - { name: "Microsoft", period: "Three Months", frequency: 33.4 }
+  - { name: "Google", period: "Three Months", frequency: 32.7 }
+  - { name: "tcs", period: "Six Months", frequency: 43.5 }
 sidebar:
   label: 'Set Matrix Zeroes'
   badge: 'Medium'

apps/docs/content/(03-hierarchical)/binary-search-tree/230_kth-smallest-element-in-a-bst.mdx

@@ -9,6 +9,13 @@ topics:
   - { name: "Binary Tree", slug: "binary-tree" }
 video: "5LUXSvjmGCw"
 issue: "https://github.com/prdlk/leetcode/issues/112"
+companies:
+  - { name: "tcs", period: "Thirty Days", frequency: 74.3 }
+  - { name: "Microsoft", period: "Three Months", frequency: 33.4 }
+  - { name: "Amazon", period: "Three Months", frequency: 28.9 }
+  - { name: "Google", period: "Three Months", frequency: 17.3 }
+  - { name: "Uber", period: "Six Months", frequency: 71.5 }
+  - { name: "Meta", period: "Six Months", frequency: 24.5 }
 sidebar:
   label: 'Kth Smallest Element in a BST'
   badge: 'Medium'

apps/docs/content/(03-hierarchical)/binary-search-tree/235_lowest-common-ancestor-of-a-binary-search-tree.mdx

@@ -11,6 +11,12 @@ topics:
   - { name: "Lowest Common Ancestor", slug: "lowest-common-ancestor" }
 video: "gs2LMfuOR9k"
 issue: "https://github.com/prdlk/leetcode/issues/113"
+companies:
+  - { name: "BlackRock", period: "Thirty Days", frequency: 76.6 }
+  - { name: "Microsoft", period: "Six Months", frequency: 32 }
+  - { name: "Amazon", period: "Six Months", frequency: 30.1 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
+  - { name: "Google", period: "Six Months", frequency: 21.9 }
 sidebar:
   label: 'Lowest Common Ancestor of a Binary Search Tree'
   badge: 'Medium'

apps/docs/content/(03-hierarchical)/binary-search-tree/98_validate-binary-search-tree.mdx

@@ -9,6 +9,13 @@ topics:
   - { name: "Binary Tree", slug: "binary-tree" }
 video: "s6ATEkipzow"
 issue: "https://github.com/prdlk/leetcode/issues/111"
+companies:
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 76.7 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Amazon", period: "Three Months", frequency: 34.6 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Google", period: "Three Months", frequency: 17.3 }
 sidebar:
   label: 'Validate Binary Search Tree'
   badge: 'Medium'

apps/docs/content/(03-hierarchical)/heap-priority-queue/215_kth-largest-element-in-an-array.mdx

@@ -10,6 +10,18 @@ topics:
   - { name: "Quickselect", slug: "quickselect" }
 video: "XEmy13g1Qxc"
 issue: "https://github.com/prdlk/leetcode/issues/118"
+companies:
+  - { name: "Meta", period: "Thirty Days", frequency: 70.8 }
+  - { name: "Spotify", period: "Three Months", frequency: 90.3 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
+  - { name: "Google", period: "Three Months", frequency: 32.7 }
+  - { name: "Amazon", period: "Three Months", frequency: 28.9 }
+  - { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
+  - { name: "IBM", period: "Six Months", frequency: 70.1 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 63.3 }
+  - { name: "Flipkart", period: "Six Months", frequency: 57.1 }
+  - { name: "TikTok", period: "Six Months", frequency: 55.2 }
+  - { name: "Microsoft", period: "Six Months", frequency: 37.9 }
 sidebar:
   label: 'Kth Largest Element in an Array'
   badge: 'Medium'

apps/docs/content/(03-hierarchical)/heap-priority-queue/23_merge-k-sorted-lists.mdx

@@ -10,6 +10,18 @@ topics:
   - { name: "Tournament Sort", slug: "tournament-sort" }
 video: "q5a5OiGbT6Q"
 issue: "https://github.com/prdlk/leetcode/issues/120"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "FreshWorks", period: "Three Months", frequency: 100 }
+  - { name: "Snap", period: "Three Months", frequency: 100 }
+  - { name: "Deloitte", period: "Three Months", frequency: 89.1 }
+  - { name: "Salesforce", period: "Three Months", frequency: 64.7 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Google", period: "Three Months", frequency: 23.9 }
+  - { name: "Nvidia", period: "Six Months", frequency: 78.7 }
+  - { name: "Apple", period: "Six Months", frequency: 57.9 }
 sidebar:
   label: 'Merge k Sorted Lists'
   badge: 'Hard'

apps/docs/content/(03-hierarchical)/heap-priority-queue/973_k-closest-points-to-origin.mdx

@@ -13,6 +13,10 @@ topics:
   - { name: "K-D Tree", slug: "k-d-tree" }
 video: "rI2EBUEMfTk"
 issue: "https://github.com/prdlk/leetcode/issues/119"
+companies:
+  - { name: "Amazon", period: "Three Months", frequency: 28.9 }
+  - { name: "Meta", period: "Six Months", frequency: 47.3 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
 sidebar:
   label: 'K Closest Points to Origin'
   badge: 'Medium'

apps/docs/content/(03-hierarchical)/tree-bfs/102_binary-tree-level-order-traversal.mdx

@@ -8,6 +8,12 @@ topics:
   - { name: "Binary Tree", slug: "binary-tree" }
 video: "6ZnyEApgFYg"
 issue: "https://github.com/prdlk/leetcode/issues/106"
+companies:
+  - { name: "Google", period: "Three Months", frequency: 41 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Amazon", period: "Three Months", frequency: 28.9 }
+  - { name: "Microsoft", period: "Six Months", frequency: 32 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
 sidebar:
   label: 'Binary Tree Level Order Traversal'
   badge: 'Medium'

apps/docs/content/(03-hierarchical)/tree-bfs/1448_count-good-nodes-in-binary-tree.mdx

@@ -9,6 +9,9 @@ topics:
   - { name: "Binary Tree", slug: "binary-tree" }
 video: "7cp5imvDzl4"
 issue: "https://github.com/prdlk/leetcode/issues/108"
+companies:
+  - { name: "josh technology", period: "Six Months", frequency: 74 }
+  - { name: "Google", period: "Six Months", frequency: 11.8 }
 sidebar:
   label: 'Count Good Nodes in Binary Tree'
   badge: 'Medium'

apps/docs/content/(03-hierarchical)/tree-bfs/199_binary-tree-right-side-view.mdx

@@ -9,6 +9,13 @@ topics:
   - { name: "Binary Tree", slug: "binary-tree" }
 video: "d4zLyf32e3I"
 issue: "https://github.com/prdlk/leetcode/issues/107"
+companies:
+  - { name: "Yandex", period: "Three Months", frequency: 76.1 }
+  - { name: "Amazon", period: "Three Months", frequency: 42.8 }
+  - { name: "Google", period: "Three Months", frequency: 23.9 }
+  - { name: "Oracle", period: "Six Months", frequency: 78.7 }
+  - { name: "Meta", period: "Six Months", frequency: 62.3 }
+  - { name: "Microsoft", period: "Six Months", frequency: 32 }
 sidebar:
   label: 'Binary Tree Right Side View'
   badge: 'Medium'

apps/docs/content/(03-hierarchical)/tree-dfs/104_maximum-depth-of-binary-tree.mdx

@@ -9,6 +9,14 @@ topics:
   - { name: "Binary Tree", slug: "binary-tree" }
 video: "hTM3phVI6YQ"
 issue: "https://github.com/prdlk/leetcode/issues/97"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
+  - { name: "Google", period: "Thirty Days", frequency: 42.3 }
+  - { name: "tcs", period: "Three Months", frequency: 47.7 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Amazon", period: "Three Months", frequency: 21.2 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 54.1 }
+  - { name: "Meta", period: "Six Months", frequency: 32.7 }
 sidebar:
   label: 'Maximum Depth of Binary Tree'
   badge: 'Easy'

apps/docs/content/(03-hierarchical)/tree-dfs/226_invert-binary-tree.mdx

@@ -9,6 +9,10 @@ topics:
   - { name: "Binary Tree", slug: "binary-tree" }
 video: "OnSn2XEQ4MY"
 issue: "https://github.com/prdlk/leetcode/issues/96"
+companies:
+  - { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Meta", period: "Six Months", frequency: 32.7 }
 sidebar:
   label: 'Invert Binary Tree'
   badge: 'Easy'

apps/docs/content/(03-hierarchical)/tree-dfs/236_lowest-common-ancestor-of-a-binary-tree.mdx

@@ -9,6 +9,12 @@ topics:
   - { name: "Binary Lifting", slug: "binary-lifting" }
   - { name: "Lowest Common Ancestor", slug: "lowest-common-ancestor" }
 issue: "https://github.com/prdlk/leetcode/issues/98"
+companies:
+  - { name: "BlackRock", period: "Thirty Days", frequency: 76.6 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 55.9 }
+  - { name: "Google", period: "Thirty Days", frequency: 36.7 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
+  - { name: "Meta", period: "Six Months", frequency: 56.1 }
 sidebar:
   label: 'Lowest Common Ancestor of a Binary Tree'
   badge: 'Medium'

apps/docs/content/(03-hierarchical)/trie/208_implement-trie-prefix-tree.mdx

@@ -9,6 +9,12 @@ topics:
   - { name: "Trie", slug: "trie" }
 video: "oobqoCJlHA0"
 issue: "https://github.com/prdlk/leetcode/issues/127"
+companies:
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Apple", period: "Six Months", frequency: 48.1 }
+  - { name: "Microsoft", period: "Six Months", frequency: 37.9 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 34.2 }
 sidebar:
   label: 'Implement Trie (Prefix Tree)'
   badge: 'Medium'

apps/docs/content/(03-hierarchical)/trie/211_design-add-and-search-words-data-structure.mdx

@@ -9,6 +9,9 @@ topics:
   - { name: "Trie", slug: "trie" }
 video: "BTf05gs_8iU"
 issue: "https://github.com/prdlk/leetcode/issues/128"
+companies:
+  - { name: "Amazon", period: "Three Months", frequency: 21.2 }
+  - { name: "Snowflake", period: "Six Months", frequency: 58.7 }
 sidebar:
   label: 'Design Add and Search Words Data Structure'
   badge: 'Medium'

apps/docs/content/(04-relational)/graph-bfs/127_word-ladder.mdx

@@ -8,6 +8,15 @@ topics:
   - { name: "Breadth-First Search", slug: "breadth-first-search" }
   - { name: "Bidirectional Search", slug: "bidirectional-search" }
 issue: "https://github.com/prdlk/leetcode/issues/138"
+companies:
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 55.9 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Apple", period: "Three Months", frequency: 69 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 46.8 }
+  - { name: "Citadel", period: "Six Months", frequency: 88 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 69.8 }
+  - { name: "Meta", period: "Six Months", frequency: 32.7 }
 sidebar:
   label: 'Word Ladder'
   badge: 'Hard'

apps/docs/content/(04-relational)/graph-bfs/994_rotting-oranges.mdx

@@ -7,6 +7,22 @@ topics:
   - { name: "Breadth-First Search", slug: "breadth-first-search" }
   - { name: "Matrix", slug: "matrix" }
 issue: "https://github.com/prdlk/leetcode/issues/137"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 75.8 }
+  - { name: "OpenAI", period: "Thirty Days", frequency: 69.7 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
+  - { name: "Google", period: "Thirty Days", frequency: 42.3 }
+  - { name: "Anduril", period: "Three Months", frequency: 94.2 }
+  - { name: "Infosys", period: "Three Months", frequency: 66 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "Meta", period: "Three Months", frequency: 43.3 }
+  - { name: "Cognizant", period: "Six Months", frequency: 76.3 }
+  - { name: "Lyft", period: "Six Months", frequency: 72.2 }
+  - { name: "Flipkart", period: "Six Months", frequency: 57.1 }
+  - { name: "Pinterest", period: "Six Months", frequency: 55.8 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 54.1 }
+  - { name: "Salesforce", period: "Six Months", frequency: 50.2 }
+  - { name: "Uber", period: "Six Months", frequency: 45.7 }
 sidebar:
   label: 'Rotting Oranges'
   badge: 'Medium'

apps/docs/content/(04-relational)/graph-dfs/133_clone-graph.mdx

@@ -8,6 +8,10 @@ topics:
   - { name: "Breadth-First Search", slug: "breadth-first-search" }
   - { name: "Graph Theory", slug: "graph" }
 issue: "https://github.com/prdlk/leetcode/issues/131"
+companies:
+  - { name: "Amazon", period: "Three Months", frequency: 21.2 }
+  - { name: "Google", period: "Three Months", frequency: 17.3 }
+  - { name: "Meta", period: "Six Months", frequency: 24.5 }
 sidebar:
   label: 'Clone Graph'
   badge: 'Medium'

apps/docs/content/(04-relational)/graph-dfs/200_number-of-islands.mdx

@@ -9,6 +9,32 @@ topics:
   - { name: "Union-Find", slug: "union-find" }
   - { name: "Matrix", slug: "matrix" }
 issue: "https://github.com/prdlk/leetcode/issues/130"
+companies:
+  - { name: "Anduril", period: "Thirty Days", frequency: 100 }
+  - { name: "Apple", period: "Thirty Days", frequency: 81.7 }
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 65.8 }
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
+  - { name: "Google", period: "Thirty Days", frequency: 50.2 }
+  - { name: "Qualcomm", period: "Three Months", frequency: 100 }
+  - { name: "TikTok", period: "Three Months", frequency: 89.3 }
+  - { name: "Uber", period: "Three Months", frequency: 72.9 }
+  - { name: "Infosys", period: "Three Months", frequency: 66 }
+  - { name: "Microsoft", period: "Three Months", frequency: 57.2 }
+  - { name: "tcs", period: "Three Months", frequency: 47.7 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Autodesk", period: "Six Months", frequency: 100 }
+  - { name: "ByteDance", period: "Six Months", frequency: 100 }
+  - { name: "Rivian", period: "Six Months", frequency: 100 }
+  - { name: "Snap", period: "Six Months", frequency: 100 }
+  - { name: "Waymo", period: "Six Months", frequency: 100 }
+  - { name: "Walmart Labs", period: "Six Months", frequency: 95.1 }
+  - { name: "Visa", period: "Six Months", frequency: 80.9 }
+  - { name: "Nvidia", period: "Six Months", frequency: 78.7 }
+  - { name: "Oracle", period: "Six Months", frequency: 78.7 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 69.8 }
+  - { name: "Yandex", period: "Six Months", frequency: 59.6 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 59 }
 sidebar:
   label: 'Number of Islands'
   badge: 'Medium'

apps/docs/content/(04-relational)/graph-dfs/417_pacific-atlantic-water-flow.mdx

@@ -8,6 +8,10 @@ topics:
   - { name: "Breadth-First Search", slug: "breadth-first-search" }
   - { name: "Matrix", slug: "matrix" }
 issue: "https://github.com/prdlk/leetcode/issues/132"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Google", period: "Three Months", frequency: 23.9 }
+  - { name: "Microsoft", period: "Six Months", frequency: 24.1 }
 sidebar:
   label: 'Pacific Atlantic Water Flow'
   badge: 'Medium'

apps/docs/content/(04-relational)/topological-sort/207_course-schedule.mdx

@@ -9,6 +9,19 @@ topics:
   - { name: "Topological Sort", slug: "topological-sort" }
   - { name: "Directed Acyclic Graph", slug: "directed-acyclic-graph" }
 issue: "https://github.com/prdlk/leetcode/issues/142"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "TikTok", period: "Three Months", frequency: 70.9 }
+  - { name: "Meta", period: "Three Months", frequency: 43.3 }
+  - { name: "ByteDance", period: "Six Months", frequency: 88.6 }
+  - { name: "Walmart Labs", period: "Six Months", frequency: 70.5 }
+  - { name: "Anduril", period: "Six Months", frequency: 65.4 }
+  - { name: "Snowflake", period: "Six Months", frequency: 58.7 }
+  - { name: "Apple", period: "Six Months", frequency: 57.9 }
+  - { name: "Infosys", period: "Six Months", frequency: 56.2 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
+  - { name: "Microsoft", period: "Six Months", frequency: 32 }
 sidebar:
   label: 'Course Schedule'
   badge: 'Medium'

apps/docs/content/(04-relational)/topological-sort/210_course-schedule-ii.mdx

@@ -8,6 +8,21 @@ topics:
   - { name: "Graph Theory", slug: "graph" }
   - { name: "Topological Sort", slug: "topological-sort" }
 issue: "https://github.com/prdlk/leetcode/issues/143"
+companies:
+  - { name: "Salesforce", period: "Thirty Days", frequency: 100 }
+  - { name: "Walmart Labs", period: "Thirty Days", frequency: 100 }
+  - { name: "Apple", period: "Three Months", frequency: 80.4 }
+  - { name: "Amazon", period: "Three Months", frequency: 39.1 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 36.8 }
+  - { name: "Google", period: "Three Months", frequency: 23.9 }
+  - { name: "Audible", period: "Six Months", frequency: 100 }
+  - { name: "Aurora", period: "Six Months", frequency: 100 }
+  - { name: "Anduril", period: "Six Months", frequency: 92.8 }
+  - { name: "Netflix", period: "Six Months", frequency: 90.1 }
+  - { name: "DoorDash", period: "Six Months", frequency: 89.7 }
+  - { name: "Snowflake", period: "Six Months", frequency: 79.8 }
+  - { name: "Uber", period: "Six Months", frequency: 55.2 }
+  - { name: "Microsoft", period: "Six Months", frequency: 32 }
 sidebar:
   label: 'Course Schedule II'
   badge: 'Medium'

apps/docs/content/(04-relational)/union-find/684_redundant-connection.mdx

@@ -8,6 +8,11 @@ topics:
   - { name: "Union-Find", slug: "union-find" }
   - { name: "Graph Theory", slug: "graph" }
 issue: "https://github.com/prdlk/leetcode/issues/146"
+companies:
+  - { name: "Box", period: "Three Months", frequency: 100 }
+  - { name: "Amazon", period: "Three Months", frequency: 21.2 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
+  - { name: "Microsoft", period: "Six Months", frequency: 24.1 }
 sidebar:
   label: 'Redundant Connection'
   badge: 'Medium'

apps/docs/content/(05-decision-space)/1d-dynamic-programming/198_house-robber.mdx

@@ -6,6 +6,17 @@ topics:
   - { name: "Array", slug: "array" }
   - { name: "Dynamic Programming", slug: "dynamic-programming" }
 issue: "https://github.com/prdlk/leetcode/issues/158"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 83.1 }
+  - { name: "Infosys", period: "Thirty Days", frequency: 68.6 }
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
+  - { name: "Google", period: "Thirty Days", frequency: 50.2 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Microsoft", period: "Three Months", frequency: 53.2 }
+  - { name: "tcs", period: "Three Months", frequency: 47.7 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Freecharge", period: "Six Months", frequency: 100 }
+  - { name: "Agoda", period: "Six Months", frequency: 65 }
 sidebar:
   label: 'House Robber'
   badge: 'Medium'

apps/docs/content/(05-decision-space)/1d-dynamic-programming/322_coin-change.mdx

@@ -9,6 +9,15 @@ topics:
   - { name: "Knapsack Problem", slug: "knapsack-problem" }
   - { name: "Complete Knapsack", slug: "complete-knapsack" }
 issue: "https://github.com/prdlk/leetcode/issues/159"
+companies:
+  - { name: "Microsoft", period: "Thirty Days", frequency: 67.9 }
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 59.7 }
+  - { name: "Amazon", period: "Three Months", frequency: 48.7 }
+  - { name: "Intuit", period: "Six Months", frequency: 71.5 }
+  - { name: "Infosys", period: "Six Months", frequency: 67.9 }
+  - { name: "Pinterest", period: "Six Months", frequency: 64.4 }
 sidebar:
   label: 'Coin Change'
   badge: 'Medium'

apps/docs/content/(05-decision-space)/1d-dynamic-programming/70_climbing-stairs.mdx

@@ -7,6 +7,17 @@ topics:
   - { name: "Dynamic Programming", slug: "dynamic-programming" }
   - { name: "Memoization", slug: "memoization" }
 issue: "https://github.com/prdlk/leetcode/issues/157"
+companies:
+  - { name: "Infosys", period: "Thirty Days", frequency: 80.2 }
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Intuit", period: "Thirty Days", frequency: 66.1 }
+  - { name: "Ola Cabs", period: "Thirty Days", frequency: 65.6 }
+  - { name: "Meta", period: "Thirty Days", frequency: 53.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
+  - { name: "Google", period: "Thirty Days", frequency: 36.7 }
+  - { name: "Microsoft", period: "Three Months", frequency: 48.3 }
+  - { name: "tcs", period: "Three Months", frequency: 47.7 }
+  - { name: "Deloitte", period: "Six Months", frequency: 81 }
 sidebar:
   label: 'Climbing Stairs'
   badge: 'Easy'

apps/docs/content/(05-decision-space)/backtracking/39_combination-sum.mdx

@@ -6,6 +6,12 @@ topics:
   - { name: "Array", slug: "array" }
   - { name: "Backtracking", slug: "backtracking" }
 issue: "https://github.com/prdlk/leetcode/issues/150"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Google", period: "Three Months", frequency: 41 }
+  - { name: "Meta", period: "Three Months", frequency: 34.5 }
+  - { name: "Microsoft", period: "Three Months", frequency: 33.4 }
+  - { name: "Amazon", period: "Six Months", frequency: 30.1 }
 sidebar:
   label: 'Combination Sum'
   badge: 'Medium'

apps/docs/content/(05-decision-space)/backtracking/46_permutations.mdx

@@ -6,6 +6,14 @@ topics:
   - { name: "Array", slug: "array" }
   - { name: "Backtracking", slug: "backtracking" }
 issue: "https://github.com/prdlk/leetcode/issues/151"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 48.9 }
+  - { name: "Microsoft", period: "Three Months", frequency: 42.1 }
+  - { name: "Google", period: "Three Months", frequency: 32.7 }
+  - { name: "Infosys", period: "Six Months", frequency: 67.9 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 54.1 }
+  - { name: "Meta", period: "Six Months", frequency: 43.4 }
 sidebar:
   label: 'Permutations'
   badge: 'Medium'

apps/docs/content/(05-decision-space)/backtracking/78_subsets.mdx

@@ -7,6 +7,14 @@ topics:
   - { name: "Backtracking", slug: "backtracking" }
   - { name: "Bit Manipulation", slug: "bit-manipulation" }
 issue: "https://github.com/prdlk/leetcode/issues/149"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 61.3 }
+  - { name: "Agoda", period: "Three Months", frequency: 75.3 }
+  - { name: "Microsoft", period: "Three Months", frequency: 48.3 }
+  - { name: "Meta", period: "Three Months", frequency: 43.3 }
+  - { name: "Google", period: "Three Months", frequency: 23.9 }
+  - { name: "TikTok", period: "Six Months", frequency: 64.9 }
 sidebar:
   label: 'Subsets'
   badge: 'Medium'

apps/docs/content/(05-decision-space)/greedy/134_gas-station.mdx

@@ -6,6 +6,15 @@ topics:
   - { name: "Array", slug: "array" }
   - { name: "Greedy", slug: "greedy" }
 issue: "https://github.com/prdlk/leetcode/issues/176"
+companies:
+  - { name: "Bloomberg", period: "Thirty Days", frequency: 69.8 }
+  - { name: "Sprinklr", period: "Three Months", frequency: 95.9 }
+  - { name: "TikTok", period: "Three Months", frequency: 70.9 }
+  - { name: "Microsoft", period: "Three Months", frequency: 33.4 }
+  - { name: "Amazon", period: "Three Months", frequency: 28.9 }
+  - { name: "Adobe", period: "Six Months", frequency: 74.3 }
+  - { name: "Goldman Sachs", period: "Six Months", frequency: 44.8 }
+  - { name: "Google", period: "Six Months", frequency: 17.4 }
 sidebar:
   label: 'Gas Station'
   badge: 'Medium'

apps/docs/content/(05-decision-space)/greedy/53_maximum-subarray.mdx

@@ -7,6 +7,16 @@ topics:
   - { name: "Divide and Conquer", slug: "divide-and-conquer" }
   - { name: "Dynamic Programming", slug: "dynamic-programming" }
 issue: "https://github.com/prdlk/leetcode/issues/174"
+companies:
+  - { name: "Upstart", period: "Thirty Days", frequency: 100 }
+  - { name: "Infosys", period: "Thirty Days", frequency: 80.2 }
+  - { name: "Microsoft", period: "Thirty Days", frequency: 75.6 }
+  - { name: "Amazon", period: "Thirty Days", frequency: 69.6 }
+  - { name: "Meta", period: "Three Months", frequency: 65.3 }
+  - { name: "Google", period: "Three Months", frequency: 54.6 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "tcs", period: "Three Months", frequency: 47.7 }
+  - { name: "LinkedIn", period: "Six Months", frequency: 85.6 }
 sidebar:
   label: 'Maximum Subarray'
   badge: 'Medium'

apps/docs/content/(05-decision-space)/greedy/55_jump-game.mdx

@@ -7,6 +7,13 @@ topics:
   - { name: "Dynamic Programming", slug: "dynamic-programming" }
   - { name: "Greedy", slug: "greedy" }
 issue: "https://github.com/prdlk/leetcode/issues/175"
+companies:
+  - { name: "Amazon", period: "Thirty Days", frequency: 39.1 }
+  - { name: "Meta", period: "Three Months", frequency: 54.8 }
+  - { name: "Bloomberg", period: "Three Months", frequency: 54 }
+  - { name: "Google", period: "Three Months", frequency: 45 }
+  - { name: "Microsoft", period: "Three Months", frequency: 33.4 }
+  - { name: "Infosys", period: "Six Months", frequency: 56.2 }
 sidebar:
   label: 'Jump Game'
   badge: 'Medium'

apps/docs/content/(05-decision-space)/intervals/435_non-overlapping-intervals.mdx

@@ -8,6 +8,13 @@ topics:
   - { name: "Greedy", slug: "greedy" }
   - { name: "Sorting", slug: "sorting" }
 issue: "https://github.com/prdlk/leetcode/issues/183"
+companies:
+  - { name: "Microsoft", period: "Thirty Days", frequency: 57.2 }
+  - { name: "Google", period: "Thirty Days", frequency: 29 }
+  - { name: "Grammarly", period: "Three Months", frequency: 100 }
+  - { name: "Amazon", period: "Three Months", frequency: 28.9 }
+  - { name: "IBM", period: "Six Months", frequency: 60.1 }
+  - { name: "Bloomberg", period: "Six Months", frequency: 25.5 }
 sidebar:
   label: 'Non-overlapping Intervals'
   badge: 'Medium'