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

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'