The Coding Round Problem
You're 10 minutes into a coding interview. You see a dynamic programming problem. Your mind goes blank. The timer is running.
This is exactly where Ghostly AI's screen analysis changes the outcome.
How Screen Capture Analysis Works
- Press the screenshot hotkey (configurable, default: Ctrl+Shift+S)
- Draw a selection around the coding problem on your screen
- Ghostly sends the image to your chosen AI model (Gemini, GPT-4o, Claude)
- Within 3–5 seconds, you get a full structured response
The AI Response Format
For every coding problem, Ghostly AI returns:
🧠 Approach: "Use sliding window technique. Maintain a window of size k, subtract the element leaving and add the one entering..."
⏱ Complexity:
- Time: O(n)
- Space: O(1)
🔍 Edge Cases:
- Empty array
- k larger than array size
- All negative numbers
💻 Clean Code:
def maxSumSubarray(nums, k):
window_sum = sum(nums[:k])
max_sum = window_sum
for i in range(k, len(nums)):
window_sum += nums[i] - nums[i-k]
max_sum = max(max_sum, window_sum)
return max_sumWhat Problem Types It Handles
| Category | Examples |
|---|---|
| Arrays & Strings | Two-sum, sliding window, anagram |
| Trees & Graphs | BFS/DFS, shortest path, cycle detection |
| Dynamic Programming | Knapsack, LCS, coin change |
| System Design Diagrams | Architecture screenshot analysis |
| SQL Problems | Query optimization, joins, window functions |
| Frontend Challenges | Component design from screenshot |
Pro Tips for Better Results
Include the full problem: Ensure your screenshot captures the complete problem statement, constraints, and examples.
Add context in chat: After the initial response, use the chat panel: "Now optimize it further, the input can be up to 10^7 elements."
Ask for the simplest solution first: Explicitly ask "give me the brute force first, then the optimal" so you can explain progression naturally.

