diff --git a/docs/(welcome)/array/1365.mdx b/docs/(welcome)/array/1365.mdx
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----
-title: LC-1365
-description: How Many Numbers Are Smaller Than the Current Number
----
-
-## Examples
-
-| Input | Output |
-| ---------------- | -------------------- |
-| `[8,1,2,2,3]` | `[4,0,1,1,3]` |
-| `[6,5,4,8]` | `[2,1,0,3]` |
-| `[7,7,7,7]` | `[0,0,0,0]` |
-
-## Hints
-
-
-
- Constraints:
- • `2 <= nums.length <= 500`
- • `0 <= nums[i] <= 100`
-
-
- Given the array nums, for each `nums[i]` find out how many numbers in the array are smaller than it.
- That is, for each `nums[i]` you have to count the number of valid `j`'s such that `j != i` and `nums[j] < nums[i]`.
-
-
-
-## Solution
-
-```js
-/**
- * @param {number[]} nums
- * @return {number[]}
- */
-
-var smallerNumbersThanCurrent = function (nums) {
- // Default for Hammer
- const freq = {};
- for (let n of nums) freq[n] = (freq[n] || 0) + 1;
- const sorted = Object.keys(freq).sort((a, b) => a - b);
-
- // Problem Specific
- let count = 0;
- let smaller = {};
-
- // Iterate over sorted.
- for (let num of sorted) {
- smaller[num] = count;
- count += freq[num];
- }
-
- // Map output
- return nums.map((n) => smaller[n]);
-};
-```
diff --git a/docs/(welcome)/array/1636.mdx b/docs/(welcome)/array/1636.mdx
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----
-title: LC-1636
-description: Sort Array by Increasing Frequency
----
-
-## Examples
-
-| Input | Output |
-| ---------------------- | ---------------------- |
-| `[1,1,2,2,2,3]` | `[3,1,1,2,2,2]` |
-| `[2,3,1,3,2]` | `[1,3,3,2,2]` |
-| `[-1,1,-6,4,5,-6,1,4,1]` | `[5,-1,4,4,-6,-6,1,1,1]` |
-
-## Hints
-
-
-
- Constraints:
- • `1 <= nums.length <= 100`
- • `-100 <= nums[i] <= 100`
-
-
- Given an array of integers nums, sort the array in increasing order based on the frequency of the values.
- If multiple values have the same frequency, sort them in decreasing order.
- Return the sorted array.
-
-
-
-## Solution
-
-```js
-/**
- * @param {number[]} nums
- * @return {number[]}
- */
-
-var frequencySort = function (nums) {
- // Default for Hammer
- const freq = {};
- for (let n of nums) freq[n] = (freq[n] || 0) + 1;
-
- // Problem Specific
- // Sort ascending by frequency; ties break by larger value first
- return nums.sort((a, b) => freq[a] - freq[b] || b - a);
-};
-```
diff --git a/docs/(welcome)/array/347.mdx b/docs/(welcome)/array/347.mdx
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----
-title: LC-347
-description: Top K Frequent Elements
----
-
-## Examples
-
-| Input | Output |
-| ---------------------------------- | -------- |
-| `nums = [1,1,1,2,2,3], k = 2` | `[1,2]` |
-| `nums = [1], k = 1` | `[1]` |
-| `nums = [1,2,1,2,1,2,3,1,3,2], k = 2` | `[1,2]` |
-
-## Hints
-
-
-
- Constraints:
- • `1 <= nums.length <= 10^5`
- • `-10^4 <= nums[i] <= 10^4`
- • `k` is in the range `[1, the number of unique elements in the array]`
- • It is guaranteed that the answer is unique.
-
-
- Given an integer array nums and an integer `k`, return the `k` most frequent elements.
- You may return the answer in any order.
-
- Follow up: Your algorithm's time complexity must be better than `O(n log n)`, where n is the array's size.
-
-
-
-## Solution
-
-```js
-/**
- * @param {number[]} nums
- * @param {number} k
- * @return {number[]}
- */
-
-var topKFrequent = function (nums, k) {
- // Default for Hammer
- const freq = {};
- for (let n of nums) freq[n] = (freq[n] || 0) + 1;
-
- // Problem Specific
- // Sort unique values by descending frequency, take the first k
- return Object.keys(freq)
- .map(Number)
- .sort((a, b) => freq[b] - freq[a])
- .slice(0, k);
-};
-```
diff --git a/docs/(welcome)/hash-table/387.mdx b/docs/(welcome)/hash-table/387.mdx
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--- a/docs/(welcome)/hash-table/387.mdx
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----
-title: LC-387
-description: First Unique Character in a String
----
-
-## Examples
-
-| Input | Output |
-| ---------------- | ------ |
-| `"leetcode"` | `0` |
-| `"loveleetcode"` | `2` |
-| `"aabb"` | `-1` |
-
-## Hints
-
-
-
- Constraints:
- • `1 <= s.length <= 10^5`
- • `s` consists of only lowercase English letters.
-
-
- Given a string `s`, find the first non-repeating character in it and return its index.
- If it does not exist, return `-1`.
-
-
-
-## Solution
-
-```js
-/**
- * @param {string} s
- * @return {number}
- */
-
-var firstUniqChar = function (s) {
- // Default for Hammer
- const freq = {};
- for (let c of s) freq[c] = (freq[c] || 0) + 1;
-
- // Problem Specific
- // Loop the ORIGINAL string — we want an index, so no sorting
- for (let i = 0; i < s.length; i++) {
- if (freq[s[i]] === 1) {
- return i;
- }
- }
- return -1;
-};
-```
diff --git a/docs/(welcome)/hash-table/451.mdx b/docs/(welcome)/hash-table/451.mdx
deleted file mode 100644
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--- a/docs/(welcome)/hash-table/451.mdx
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----
-title: LC-451
-description: Sort Characters By Frequency
----
-
-## Examples
-
-| Input | Output |
-| ---------- | -------- |
-| `"tree"` | `"eert"` |
-| `"cccaaa"` | `"aaaccc"` |
-| `"Aabb"` | `"bbAa"` |
-
-## Hints
-
-
-
- Constraints:
- • `1 <= s.length <= 5 * 10^5`
- • `s` consists of uppercase and lowercase English letters and digits.
-
-
- Given a string `s`, sort it in decreasing order based on the frequency of the characters.
- The frequency of a character is the number of times it appears in the string.
- Return the sorted string. If there are multiple answers, return any of them.
-
-
-
-## Solution
-
-```js
-/**
- * @param {string} s
- * @return {string}
- */
-
-var frequencySort = function (s) {
- // Default for Hammer
- const freq = {};
- for (let c of s) freq[c] = (freq[c] || 0) + 1;
-
- // Problem Specific
- // Sort characters by descending frequency; same chars stay grouped
- return s
- .split("")
- .sort((a, b) => freq[b] - freq[a] || a.localeCompare(b))
- .join("");
-};
-```
diff --git a/docs/(welcome)/index.mdx b/docs/(welcome)/index.mdx
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----
-title: Introduction
-description: Prad's Random Leetcode Notes
----
-
-## Overview
-
-This is a collection of random CS notes that I've made over the years. I've been learning CS for a while now and I thought it would be a good idea to make a public repository of my notes. This is the first iteration of the repository and I plan to add more content to it over time.
-
-## The Golden Rule (Memorize This)
-
-**Only sort if the problem asks for ORDER or RANKING.**
-
-If the problem asks for:
-- "first"
-- "index"
-- "position"
-- "does it exist"
-- "true/false"
-- "count how many"
-
-→ **DO NOT SORT**. Just use the frequency map and loop.
-
----
-
-## Decision Cheat Sheet
-
-| What the problem wants | Do you need to sort? | What to do instead | Example Problem |
-|-----------------------------------------|----------------------|-------------------------------------|---------------------|
-| Sort characters by how often they appear | YES | Freq + Sort | LC 451 |
-| Top K most frequent | YES | Freq + Sort + slice | LC 347 |
-| Sort array by frequency | YES | Freq + Sort | LC 1636 |
-| First unique character (index) | NO | Freq + loop original string | LC 387 |
-| Is it an anagram? | NO | Freq + check counts | LC 242 |
-| How many numbers smaller than current | Kind of | Freq + prefix count | LC 1365 |
-| Most frequent element | NO | Freq + find max | LC 169 |
-
----
-
-## Mental Checklist (Say this out loud every time)
-
-1. "Did I count the frequencies?" → Yes
-2. "Does the problem care about the **original order**?"
- - Yes → Loop the original string/array and check freq
- - No → You can sort
-3. "Does it want an **index** or a **boolean**?"
- - Yes → Almost never sort
-4. "Does it want the elements **re-ordered**?"
- - Yes → Sort by frequency
-
----
-
-## Super Short Version to Tattoo in Your Brain
-
-**"If it wants the first / index / true-false → loop original.
-If it wants sorted / top k / reordered → sort."**
-
----
-
-## Practice Trigger Words
-
-- "first non-repeating" → Loop original
-- "return its index" → Loop original
-- "sort by frequency" → Sort
-- "top k frequent" → Sort + slice
-- "valid anagram" → Just check counts
-
-
diff --git a/docs/.gitignore b/docs/.gitignore
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--- a/docs/.gitignore
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-.blume/
-dist/
diff --git a/docs/guides/index.mdx b/docs/guides/index.mdx
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----
-title: Guides
-description: News and writing from the team.
-type: blog
----
-
-
-
- Why we built a markdown-first docs framework.
-
-
diff --git a/docs/guides/introducing-blume.mdx b/docs/guides/introducing-blume.mdx
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----
-title: Introducing Blume
-type: blog
-date: 2026-06-22
-description: Why we built a markdown-first docs framework.
----
-
-Documentation should be fast, AI-ready, and zero-config — down to not needing a starter template at all. Here's the thinking behind Blume.