Campus Monk by Rachit Rastogi
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📈 Análisis del canal de Telegram Campus Monk by Rachit Rastogi
El canal Campus Monk by Rachit Rastogi (@rachityoutube) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 10 711 suscriptores, ocupando la posición 18 355 en la categoría Educación y el puesto 36 044 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 10 711 suscriptores.
Según los últimos datos del 02 septiembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -124, y en las últimas 24 horas de 0, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.09%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.47% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 117 visualizaciones. En el primer día suele acumular 50 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
- Intereses temáticos: El contenido se centra en temas clave como tcs, sankalp, engineer, prep, intern.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Your one stop for knowledge in a better perspective !”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 03 septiembre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
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| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 03 septiembre | 0 | |||
| 02 septiembre | 0 | |||
| 01 septiembre | +1 |
Publicaciones del Canal
Repost from N/a
🎯 CODING CHALLENGE #12 - Group Anagrams
Difficulty: Medium
Given an array of strings, group the anagrams together.
Input: ["eat","tea","tan","ate","nat","bat"] Output: [["eat","tea","ate"],["tan","nat"],["bat"]]💡 Hint: Two words are anagrams if and only if their sorted characters are identical. That sorted string makes a perfect hash key. Solution:
python
from collections import defaultdict
def group_anagrams(strs):
groups = defaultdict(list)
for s in strs:
key = ''.join(sorted(s))
groups[key].append(s)
return list(groups.values())Complexity: O(n · k log k) time, where n is the number of strings and k is the max string length - sorting each string dominates. Space O(n · k). Common mistake: Trying to compare every pair of strings directly (O(n²) comparisons) instead of using a canonical key to bucket them in one pass. Any time you see "group things that share a property," ask: "what's the key I can compute once per item?" Bonus optimization: instead of sorting (O(k log k)), you can build a character-count tuple as the key in O(k) time - faster for long strings. Worth mentioning if you want to show extra depth. Sorted-string-as-key or character-count-as-key - which would you reach for first? 👇
| 2 | Company - Cisco
Role - Software QA Engineer
Location - Bengaluru, Karnataka, India
Apply link - https://careers.cisco.com/global/en/job/CISCISGLOBAL2015350EXTERNALENGLOBAL/Software-QA-Engineer
Company - Blacksof
Role - Project Trainee
Location - Indore, Madhya Pradesh, India
APply link - https://www.linkedin.com/jobs/view/4458891570
Company - CPL Aromas
Role - Trainee
Location - Mumbai, Maharashtra, India
APply link - https://careers.cplaromas.com/job/Trainee/733425222/
[02/09, 15:20] null: Company - CoTrav
Role - Data Entry & Operations Associate
Location - Gurugram, Haryana, India
Apply link - https://www.linkedin.com/jobs/view/4459202103
Company - IQVIA
Role - Data Analyst
Location - Pune/Pimpri-Chinchwad Area
Apply link - https://jobs.iqvia.com/en/jobs/R1553302-0
Company - Sealed Air Corporation
Role - IT Business Analyst I
Location - Mumbai Metropolitan Region
Apply link - https://jobs.sealedair.com/job/Mumbai-IT-Business-Analyst-I/56229-en_US/
Company Name: IBM
Post Name: Data Scientist-Artificial Intelligence
Expected Salary: ₹5-8 LPA*
Job Location: Bangalore
JobType: Freshers/ Experienced
https://careers.ibm.com/en_US/careers/JobDetail?jobId=86123
Company - Textron India Private Limited
Role - Graduate Engineer -Engineering Data Management
Location - Bengaluru East, Karnataka, India
Apply link - https://careers.textron.com/bangalore-ind/graduate-engineer-engineering-data-management/962CF3A5DBF144BAACCC857D2A173F85/job/
Company - Kensara
Role - HIMS Engineer
Location - Indore, Madhya Pradesh, India
Apply link - https://www.linkedin.com/jobs/view/4459215533
Company - IdeaTown Investments
Role - Research Analyst
Location - Tamil Nadu, India
Apply link - https://www.linkedin.com/jobs/view/4459212706
Company - Rapidcloud Systems and Solutions Private Limited
Role - Data Engineer
Location - Bengaluru, Karnataka, India
Apply link - https://www.linkedin.com/jobs/view/4459224463
Company - Purplle.com
Role - Business Analyst
Location - Mumbai, Maharashtra, India
APply link - https://purplle.turbohire.co/job/publicjobs/9e13b6c4-8e4c-4eff-a084-5c46bf28e37e
➖➖➖➖➖➖➖➖➖➖➖➖➖
Join our community for more ✨❤️
📌Campusmonk Blogs:
https://campusmonk.in/articles/
📌Instagram:
https://www.instagram.com/hustlewithcampusmonk/
📌 Telegram:
https://t.me/Campusmonk2025
📌LinkedIn:
https://www.linkedin.com/company/campusmonk
All the best 👍👍 | 33 |
| 3 | Adobe is hiring SDE
For 2021, 2022, 2023, 2024 gards
Location: Noida
https://careers.adobe.com/us/en/job/ADOBUSR171208EXTERNALENUS/Software-Development-Engineer
Like for more job opportunities ❤️
➖➖➖➖➖➖➖➖➖➖➖➖➖
Join our community for more ✨❤️
📌Campusmonk Blogs:
https://campusmonk.in/articles/
📌Instagram:
https://www.instagram.com/hustlewithcampusmonk/
📌 Telegram:
https://t.me/Campusmonk2025
📌LinkedIn:
https://www.linkedin.com/company/campusmonk
All the best 👍👍 | 53 |
| 4 | Barclays is hiring Software Engineer
For 2022, 2023, 2024, 2025 gards
Location: Chennai
https://search.jobs.barclays/job/-/-/13015/98506859296
Like for more job opportunities ❤️
➖➖➖➖➖➖➖➖➖➖➖➖➖
Join our community for more ✨❤️
📌Campusmonk Blogs:
https://campusmonk.in/articles/
📌Instagram:
https://www.instagram.com/hustlewithcampusmonk/
📌 Telegram:
https://t.me/Campusmonk2025
📌LinkedIn:
https://www.linkedin.com/company/campusmonk
All the best 👍👍 | 47 |
| 5 | Purplle is hiring Product Analyst 🚀
Experience : 1+ Year
Location : Mumbai
Apply link : https://purplle.turbohire.co/job/publicjobs/937a330e-d1b3-4acd-8573-c111f7edec30?src=linkedin
➖➖➖➖➖➖➖➖➖➖➖➖➖
Join our community for more ✨❤️
📌Campusmonk Blogs:
https://campusmonk.in/articles/
📌Instagram:
https://www.instagram.com/hustlewithcampusmonk/
📌 Telegram:
https://t.me/Campusmonk2025
📌LinkedIn:
https://www.linkedin.com/company/campusmonk
All the best 👍👍 | 42 |
| 6 |  🚨 Hi Champ 👋
Today, Okesh sir will take your LIVE SESSION, Don’t miss it! 🔥
👩🏫 Faculty: Okesh sir
📘 Topic: Verbal Ability PREP
⏰ Time: : 6:15 PM
📅 Date: 03/09/2026
🎥 batch details:
https://youtu.be/k3OD0kNgSuI?si=XHQqJ9lyWCUgWZmw
👉 NEW SANKALP 9.0 — 2027:
https://campusmonk123.netlify.app/
━━━━━━━━━━━━━━
📚 Already prefer recorded learning?
AARAMBH 1.0
Apti + Verbal + Coding + Mock Tests & more
👉 https://bfwhv.courses.store/830023
━━━━━━━━━━━━━━
🎓 2028 Batch Students:
NEW SANKALP 2028
👉https://bfwhv.courses.store/877885
Team Campusmonk 🔥 | 47 |
| 7 | 💻 *Programming Tips for Beginners — Part 3* 🚀
When you're learning to code, making mistakes is completely normal.
But some mistakes can slow your progress unnecessarily.
Here are some of the most common ones beginners should avoid 👇
*1️⃣ Trying to Learn Everything at Once*
Python + Java + C++ + JavaScript + React + AI + Cloud...
Don't do this.
Pick one path and build a strong foundation first.
Depth > Variety
*2️⃣ Too much tutorials*
Watching tutorial after tutorial can feel productive without actually improving your coding ability.
Learn a concept.
Then close the tutorial and build something with it.
Learn → Build → Get Stuck → Solve → Repeat
*3️⃣ Memorizing Code*
Don't try to memorize every syntax or solution.
Understand the logic.
You can always look up syntax later.
Understanding > Memorization
*4️⃣ Copying Code Without Understanding It*
Copy-pasting code may fix your immediate problem, but it doesn't necessarily teach you anything.
Before using someone else's code, ask:
👉 What does it do?
👉 Why does it work?
👉 What would happen if I changed it?
*5️⃣ Avoiding Difficult Problems*
If you only solve problems you already know how to solve, your skills won't grow much.
Challenge yourself.
Getting stuck is often where the real learning happens.
*6️⃣ Ignoring Error Messages*
Don't immediately search: "My code doesn't work."
Read the actual error message first.
It often tells you:
📍 Where the problem occurred
🔍 What went wrong
💡 Sometimes even how to fix it
Learning to read errors is a superpower.
*7️⃣ Writing Everything in One Huge Function*
Beginners often put their entire program into one function or file.
Instead, break your program into smaller logical pieces.
Small functions are easier to:
✅ Understand
✅ Test
✅ Debug
✅ Reuse
*8️⃣ Ignoring Code Readability*
Code isn't written only for computers.
Other developers—including your future self—will read it.
Use:
- Meaningful variable names
- Consistent formatting
- Small functions
- Clear structure
*9️⃣ Focusing Only on Syntax*
Knowing syntax doesn't make you a good programmer.
The real skill is:
Understanding a problem → Designing a solution → Implementing it → Testing it → Improving it
*🔟 Giving Up Too Quickly*
You will encounter problems that make you think: "I'll never understand this."
Keep going.
Read the documentation.
Try another approach.
Break the problem down.
Take a short break and return to it.
Programming becomes easier through repeated exposure to difficult problems.
🧠 You don't need to become an expert overnight.
You need to improve one concept, one problem, and one project at a time.
🚀 Don't aim to write perfect code. Aim to understand your code and improve it.
*Double Tap ❤️ For More* | 38 |
| 8 | 🌟✨ Word of the Day ✨🌟
Sagacious (adjective – C1)
🔊 /səˈɡeɪ.ʃəs/ (suh-GAY-shus)
💡 Meaning: Having good judgment and wisdom.
📌 She gave a sagacious piece of advice.
🧠 Mini-Story Trick:
Sagacious → “Sage” 🌿
Imagine a wise sage 🧙♂️ giving smart advice that solves everyone’s problems. 💡
👉 Sagacious = Wise + Intelligent
📝 Syn: Wise, Judicious | Ant: Foolish, Unwise
⸻
✨ Double Tap ❤️ if you’re learning English every day!
⚡️ Share with friends 🙌 | 41 |
| 9 | 🌟✨ Idiom of the Day ✨🌟
The tip of the iceberg 🧊
💡 Meaning: A small, visible part of a much larger problem or situation.
📌 These complaints are just the tip of the iceberg.
🧠 Mini-Story Trick:
Imagine seeing only the top of a huge iceberg 🧊 above the water, while most of it remains hidden underneath 🌊.
👉 Tip of the iceberg = Small visible part of something much bigger
📝 Syn: Small part, Surface | Ant: Whole picture
⸻
✨ Double Tap ❤️ if you’re learning English every day!
⚡️ Share with friends 🙌 | 41 |
| 10 |  💭 Ek baat honestly batao…
Jab placement season start hoga na,
tab tumhare paas 2 options honge:
“Kaash maine pehle prepare kiya hota…”
ya
“Good. I was ready for this.” 🔥
Difference sirf preparation ke start hone ka hai.
2027 students - agar TCS, Accenture, Cognizant, Capgemini, Wipro & other MNCs ka target hai, toh ab sirf YouTube videos save karne ka time nahi hai.
🎥 batch details:
https://youtu.be/k3OD0kNgSuI?si=XHQqJ9lyWCUgWZmw
👉 NEW SANKALP 9.0 — 2027:
https://campusmonk123.netlify.app/
━━━━━━━━━━━━━━
📚 Already prefer recorded learning?
AARAMBH 1.0
Apti + Verbal + Coding + Mock Tests & more
👉 https://bfwhv.courses.store/830023
━━━━━━━━━━━━━━
🎓 2028 Batch Students:
NEW SANKALP 2028
👉https://bfwhv.courses.store/877885 | 67 |
| 11 | Amtech is hiring Associate Software Engineer
For 2023, 2024, 2025 grads
Location: Bangalore
https://engradar.com/jobs/greenhouse:amtechsoftware:4388057009
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Join our community for more ✨❤️
📌Campusmonk Blogs:
https://campusmonk.in/articles/
📌Instagram:
https://www.instagram.com/hustlewithcampusmonk/
📌 Telegram:
https://t.me/Campusmonk2025
📌LinkedIn:
https://www.linkedin.com/company/campusmonk
All the best 👍👍 | 67 |
| 12 | Pravah is hiring Forward Deployed Engineer
For 2023, 2024, 2025 grads
Location: Multiple
https://jobs.ashbyhq.com/pravah/1e002f56-0b3c-4908-9bee-fb94215bfead
➖➖➖➖➖➖➖➖➖➖➖➖➖
Join our community for more ✨❤️
📌Campusmonk Blogs:
https://campusmonk.in/articles/
📌Instagram:
https://www.instagram.com/hustlewithcampusmonk/
📌 Telegram:
https://t.me/Campusmonk2025
📌LinkedIn:
https://www.linkedin.com/company/campusmonk
All the best 👍👍 | 52 |
| 13 | Adbrew is hiring SDE Intern
For 2025, 2026 grads
https://adbrew.notion.site/SDE-Intern-Adbrew-38b6f6887f14802ba9a4edd56a03d2d9
➖➖➖➖➖➖➖➖➖➖➖➖➖
Join our community for more ✨❤️
📌Campusmonk Blogs:
https://campusmonk.in/articles/
📌Instagram:
https://www.instagram.com/hustlewithcampusmonk/
📌 Telegram:
https://t.me/Campusmonk2025
📌LinkedIn:
https://www.linkedin.com/company/campusmonk
All the best 👍👍 | 52 |
| 14 | Company name: Hevo Data
Role: SDE1
Batch Eligible: 2026 graduates
Location: Bangalore
Job Description: https://jobs.lever.co/hevodata/6cbbe304-e065-4711-bf3e-756795d2bc2a
Apply Link: https://docs.google.com/forms/d/e/1FAIpQLSdUXEWZMGd9k4A_Thkhl_tya1Zcu5ROnWP9SjMKhHSQzKUGog/viewform
➖➖➖➖➖➖➖➖➖➖➖➖➖
Join our community for more ✨❤️
📌Campusmonk Blogs:
https://campusmonk.in/articles/
📌Instagram:
https://www.instagram.com/hustlewithcampusmonk/
📌 Telegram:
https://t.me/Campusmonk2025
📌LinkedIn:
https://www.linkedin.com/company/campusmonk
All the best 👍👍 | 52 |
| 15 |  🚨 Hi Champ 👋
Today, Vishal sir will take your LIVE SESSION, Don’t miss it! 🔥
👩🏫 Faculty: Vishal sir
📘 Topic: GDPI
⏰ Time: : 8:30 PM
📅 Date: 02/09/2026
🎥 batch details:
https://youtu.be/k3OD0kNgSuI?si=XHQqJ9lyWCUgWZmw
👉 NEW SANKALP 9.0 — 2027:
https://campusmonk123.netlify.app/
━━━━━━━━━━━━━━
📚 Already prefer recorded learning?
AARAMBH 1.0
Apti + Verbal + Coding + Mock Tests & more
👉 https://bfwhv.courses.store/830023
━━━━━━━━━━━━━━
🎓 2028 Batch Students:
NEW SANKALP 2028
👉https://bfwhv.courses.store/877885
Team Campusmonk 🔥 | 62 |
| 16 | 🌟✨ Word of the Day ✨🌟
Adamant (adjective – C1)
🔊 /ˈæd.ə.mənt/ (AD-uh-muhnt)
💡 Meaning: Refusing to change your opinion or decision.
📌 She was adamant that she would not change her decision.
🧠 Mini-Story Trick:
Adamant → “Adam + Ant” 🧑🐜
Imagine Adam refusing to move an ant from his desk, saying, “Absolutely not!” 😤
👉 Adamant = Firm + Unwilling to change
📝 Syn: Unyielding, Stubborn | Ant: Flexible, Compliant
⸻
✨ Double Tap ❤️ if you’re learning English every day!
⚡️ Share with friends 🙌 | 46 |
| 17 | 🌟✨ Phrasal Verb of the Day ✨🌟
Turn down (phrasal verb – B1)
💡 Meaning: To reject or refuse something.
📌 She turned down the job offer.
🧠 Mini-Story Trick:
Imagine someone offering you a glass of juice 🥤, but you turn your face down 🙅♂️.
👉 Turn down = Refuse / Reject
📝 Syn: Reject, Refuse | Ant: Accept
⸻
✨ Double Tap ❤️ if you’re learning English every day!
⚡️ Share with friends 🙌 | 44 |
| 18 | 💻🧠 *10 CODING PATTERNS EVERY BEGINNER SHOULD LEARN FOR INTERVIEWS*
If you're preparing for coding interviews, don't try to memorize hundreds of solutions.
A better strategy is to learn *problem-solving patterns*.
Once you recognize the pattern, many seemingly different problems become much easier.
Here are 10 important ones 👇
*1️⃣ TWO POINTERS*
Use two pointers to move through a data structure, often from opposite ends or at different speeds.
Commonly useful for:
- Sorted arrays
- Pair-sum problems
- Removing duplicates
- Palindrome problems
👉 Instead of repeatedly searching the entire array, two pointers can often *reduce unnecessary work*.
*2️⃣ SLIDING WINDOW*
Use a moving window to examine a continuous portion of an array or string.
Useful for problems involving:
- Subarrays
- Substrings
- Maximum/minimum sums
- Longest or shortest ranges
Example idea: ""[1][2][3][4][5]
Instead of recalculating every range from scratch, *maintain a window and update it* as it moves.
*3️⃣ HASHING*
Use a Hash Map or Set when you need *fast lookup*.
Useful for:
- Finding duplicates
- Counting frequencies
- Checking whether an element exists
- Finding pairs
- Tracking previously seen values
👉 If a problem repeatedly asks "Have I seen this before?", think about hashing.
*4️⃣ BINARY SEARCH*
Binary Search repeatedly divides a *sorted search space* into two parts.
Instead of checking: 1 → 2 → 3 → 4 → 5 →... you eliminate *half of the remaining possibilities* after each comparison.
Time Complexity: *O(log n)*
It can also be applied to certain problems where you're searching for the answer within a monotonic range.
*5️⃣ FAST & SLOW POINTERS*
Two pointers move at *different speeds*.
This pattern is commonly used with linked lists to:
- Detect cycles
- Find the middle node
- Determine certain positional relationships
A classic example is the cycle-detection technique using a slow pointer and a fast pointer.
*6️⃣ STACK*
A stack follows: *LIFO → Last In, First Out*
Stacks are useful for:
- Valid parentheses
- Undo operations
- Expression evaluation
- Backtracking
- Monotonic stack problems
If you need to process the most recently added item first, consider a stack.
*7️⃣ BFS & DFS*
These are fundamental ways to traverse *trees and graphs*.
*BFS → Breadth-First Search*
Explores nodes level by level.
Often useful for:
- Shortest path in an unweighted graph
- Level-order traversal
- Finding nearby nodes
*DFS → Depth-First Search*
Explores as deeply as possible before backtracking.
Often useful for:
- Tree traversal
- Graph traversal
- Connected components
- Backtracking-style problems
*8️⃣ BACKTRACKING*
Backtracking builds a solution step by step.
When a choice doesn't work, you *undo it and try another* possibility.
Common problems: Permutations, Combinations, Subsets, Sudoku, N-Queens
Basic idea: *Choose → Explore → Undo*
*9️⃣ GREEDY*
A greedy algorithm makes the *best-looking choice at the current step*.
The key question is: "Can making the best local choice lead to a globally optimal solution?"
Greedy approaches appear in problems involving:
- Scheduling
- Intervals
- Resource allocation
- Optimization
⚠️ Not every optimization problem can be solved greedily.
*🔟 DYNAMIC PROGRAMMING*
Dynamic Programming, or DP, is used when a problem can be broken into *smaller overlapping subproblems* and their results can be reused.
Two important ideas are:
👉 *Memoization* → Store results of previously solved states.
👉 *Tabulation* → Build results iteratively from smaller states.
DP often appears in problems involving: Sequences, Paths, Knapsack-style problems, Optimization, Counting possibilities
🔥 *HOW TO RECOGNIZE THE PATTERN*
🔹 Continuous subarray/substring → Sliding Window
🔹 Sorted data + search → Binary Search
🔹 Pair or opposite-end comparison → Two Pointers
🔹 Need fast lookup → Hashing
🔹 Most recent item first → Stack
🔹 Tree/graph traversal → BFS / DFS
🔹 Explore multiple possibilities → Backtracking
🔹 Repeated subproblems → Dynamic Programming
🔹 Local choices with provable optimality → Greedy | 61 |
| 19 | Sin texto... | 57 |
| 20 | 📝 Quick Quiz 👇
👉 Choose the antonym of “Obsolete”:
A) ❤️ Outdated
B) 👍 Ancient
C) 😮 Modern
D) 🙏 Old-fashioned
⚡️ Comment your answer! | 56 |
