Maths student → Aspiring Developer 🚀 | Learning DSA, JavaScript & Python in public | Building projects, fixing bugs & sharing lessons 💻
Joined February 2025
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KENNEDY | Dev in Progress 🚀 retweeted
SPENDA JUST DROPPED A PLATINUM VISA CARD?! 👀🔥
Spenda keeps adding new ways to make everyday payments easier, and this is another big step!
Go update your Spenda app, check out the Platinum Visa Card, and see what it offers. 💙
New to Spenda? 👀
Download the app 👉 spenda.africa/download
Use my referral code 1FZMDJ23 when signing up. 🤝
SPENDA DEY FOR YOU. ALWAYS. ❤️
KENNEDY | Dev in Progress 🚀 retweeted
Join the quantum league for opportunities
sentinels-web-jet.vercel.app…
Python practice 👀
"[12, 5, 8, 21, 3]"
Using Linear Search, what's the index of "3"?
I'm testing my understanding one small problem at a time. What's your answer? 👇
KENNEDY | Dev in Progress 🚀 retweeted
Day 134 🚀
• Solved 1 Medium Binary Tree problem on LeetCode 🧠
• Solved 1 Medium Linked List problem on NeetCode (Day 76 streak!) 🔥
• Caught a cold and feeling weak, so took rest most of the time 🤒
• Will try to do better once I recover, that's it for today 🛌
#DSA #AIML
KENNEDY | Dev in Progress 🚀 retweeted
🎬 My first AI video after surgery, and I’m back creating ❤️🩹✨
The @SurferXHubXRPL Learn Hub Video Contest is officially over🌊🏄♀️
Tomorrow, October 30th at 4 PM, winners will be announced LIVE on this Space! 🏆🔥
$300 in $SRFX. Three winners. One exciting finale! 👀
🌊 Explore the Learn Hub: learn.surferx.io
Don’t miss it 🚀
nitter.cf/i/spaces/1DGleVW…
SURFERX MONTHLY WAVE 🌊 | $300 Reward • $SRFX • XRP • XRPL • Music
---
SURFERX LEARN HUB PROMOTIONAL VIDEO CHALLENGE
1ST PLACE — $150 IN $SRFX
2ND PLACE — $80 IN $SRFX
3RD PLACE — $70 IN $SRFX
THREE WINNERS. $300 IN $SRFX.
SUBMISSION DEADLINE — WEDNESDAY, OCTOBER 28
REWARDS SHOW — FRIDAY, OCTOBER 30
THE CHALLENGE:
Create a 30-SECOND TO 1-MINUTE promotional video for the SurferX Learn Hub.
Make it:
• Exciting
• Inviting
• Easy to understand
• SurferX branded
• Focused on promoting the Learn Hub and what it has to offer
LEARN HUB:
learn.surferx.io
TO QUALIFY:
■ Must own a SurferX Syndicate NFT
■ Must hold at least 10 XRP worth of $SRFX
MINT:
gravemint.io/mint/uy0iep
POST ON X:
@SurferXHubXRPL
@codecracker2000
Send completed submission to:
@JerryCoinBit on TG
SUBMISSIONS CLOSE OCTOBER 28.
REWARDS PAID LIVE OCTOBER 30.
THREE WINNERS. $300 IN $SRFX.
THREE WEEKS LEFT, SURFVIVORS. MAKE YOUR SUBMISSION STAND OUT.
WHO’S BUILT TO SURF?
nitter.cf/i/spaces/1DGleVW…
KENNEDY | Dev in Progress 🚀 retweeted
Last man standing? 🌚
Was unable to fully test the money post request cause @EkedcD6403 no allow me 😩😖
Anyways, I just created an account for my brand kindly check it out @Nexiskey
Email and SMS service provider 🙂
KENNEDY | Dev in Progress 🚀 retweeted
Day 28 of learning #DSA
Today I'm practicing Linear Search with small python problems.
I want to get comfortable writing the logic myself, not just following examples.
Practice really does matter. 😎
#BuildInPublic #100DaysOfCode
KENNEDY | Dev in Progress 🚀 retweeted
DAY 3/50! 🤝
Looking to #connect with more people interested in:
→ SaaS
→ AI
→ Full Stack
→ Indie hacking
→ Coding
→ Building cool products
Anyone in tech
#connect #day1 #BuildInPublic #Building
KENNEDY | Dev in Progress 🚀 retweeted
Waiting for AI to get better before you start using it is probably one of the worst decisions you can make right now
Think about it... we get so many new models that can do new things
But the people who benefit from them are the ones that try and gain experience
They already know how to use the tools, where they fail and how to build around their limitations
Here's what I'd do to get ahead:
> use AI for work you're actually responsible for, not just random experiments
> try automating things even when you're not sure the models can handle them yet
> when something breaks, spend time understanding why instead of immediately doing it manually
> test new models on workflows you've already built to see what becomes possible
> keep the tools, prompts and skills that work so every new project gets easier
> share what you're building and learn from people experimenting with similar things
And try things that seem difficult, or you think is not possible... that's how you discover interesting use cases
KENNEDY | Dev in Progress 🚀 retweeted
DSA Preparation Roadmap (From Zero to OA Ready)
1. Sliding Window: 3, 76, 209, 424, 567, 904
2. Two Pointers: 11, 15, 16, 18, 42, 167
3. Fast/Slow Pointers (Linked List): 141, 142, 19, 876, 160, 234
4. Binary Search on Sorted Data: 33, 34, 35, 153, 162, 704
5. Binary Search on Answer: 875, 1011, 410, 774, 1283, 1482
6. Hashing / Frequency Maps: 1, 49, 128, 217, 242, 347
7. Prefix Sum / Running Sum: 303, 560, 724, 930, 974, 523
8. Difference Array / Range Updates: 370, 1094, 1109, 1893, 1943, 2381
9. Monotonic Stack: 739, 496, 503, 84, 85, 901
10. Monotonic Queue / Deque: 239, 862, 1425, 1438, 1499, 1696
11. Heap / Top K: 215, 347, 692, 703, 973, 1046
12. Intervals: 56, 57, 252, 253, 435, 452
13. Greedy Scheduling / Sorting: 45, 55, 406, 621, 763, 134
14. Linked List Manipulation: 21, 23, 24, 25, 92, 138
15. Tree DFS: 104, 112, 113, 543, 124, 226
16. Tree BFS / Level Order: 102, 103, 199, 515, 637, 116
17. BST Problems: 98, 99, 230, 235, 450, 700
18. Backtracking Basics: 46, 47, 77, 78, 90, 39
19. Backtracking with Constraints: 40, 17, 79, 131, 51, 52
20. Graph BFS / DFS: 200, 695, 733, 994, 1091, 1254
21. Topological Sort / DAG: 207, 210, 802, 1462, 1203, 2115
22. Union Find / DSU: 547, 684, 1319, 1579, 990, 1202
23. Shortest Path: 743, 787, 1514, 1631, 1334, 1976
24. MST / Graph Greedy: 1584, 1135, 1168, 1489, 778, 1102
25. Trie: 208, 211, 212, 648, 677, 1268
26. Bit Manipulation: 136, 137, 191, 338, 268, 190
27. 1D DP Basics: 70, 198, 213, 322, 279, 300
28. Knapsack / Subset DP: 416, 494, 518, 474, 1049, 879
29. Grid DP: 62, 63, 64, 221, 931, 120
30. String DP / Sequence DP: 1143, 72, 115, 583, 97, 1312
How to use this list?
- These numbers are Leetcode problem numbers
- Do 3 patterns at a time, not all 30 together.
- For each pattern, solve the first 2 to understand the idea, the next 2 to get repetition, and the last 2 to stretch yourself.
- After every pattern, write one reusable template from memory.
- Do not just “solve and move on.” Ask: what signal in the question pointed to this pattern?
- If you get stuck, revisit the same pattern after 3 to 4 days. Pattern recognition is built by spacing, not cramming.
KENNEDY | Dev in Progress 🚀 retweeted
Day 5/30: Learn Modern Computer Science — Algorithms
1. Searching Algorithms — Linear Search, Binary Search, and Efficient Data Retrieval
2. Sorting Algorithms — Bubble Sort, Merge Sort, Quick Sort, and Ordering Data
3. Recursion & Complexity Analysis — Recursive Thinking, Big O Notation, Time and Space Complexity
4. Project: Implement and Benchmark Classic Algorithms
Grab Modern Computer Science ebook: codewithdhanian.gumroad.com/…
Day 4/30: Learn Modern Computer Science — Data Structures
1. Arrays & Lists — Storing, Accessing, and Managing Collections
2. Stacks & Queues — LIFO, FIFO, and Data Processing
3. Maps & Sets — Key-Value Storage, Uniqueness, and Fast Lookup
4. Project: Build a Task Manager Using Core Data Structures
Grab Modern Computer Science Course ebook: codewithdhanian.gumroad.com/…
Day 28 of learning #DSA
Today I'm practicing Linear Search with small python problems.
I want to get comfortable writing the logic myself, not just following examples.
Practice really does matter. 😎
#BuildInPublic #100DaysOfCode
KENNEDY | Dev in Progress 🚀 retweeted
Python is free
Jupyter Notebook is free
Google Colab is free tier
Kaggle is free
VS Code is free
Git is free
GitHub is free
Hugging Face is free
Ollama is free
LM Studio is free
PyTorch is free
TensorFlow is free
scikit-learn is free
NumPy is free
Pandas is free
Matplotlib is free
JAX is free
Keras is free
Transformers is free
LangChain is free
LlamaIndex is free
Gradio is free
Streamlit is free
FastAPI is free
Flask is free
Docker is free
PostgreSQL is free
Chroma is free
FAISS is free
Qdrant is free tier
Weaviate is free tier
Milvus is free
MLflow is free
DVC is free
Weights & Biases is free tier
OpenTelemetry is free
Prometheus is free
Grafana is free
OpenAI API has paid usage
Claude has a free tier
Gemini has a free tier
Groq has a free tier
OpenRouter has free models
DeepSeek offers free access options
We are in the AI era.
You don't need to train a billion-parameter model from scratch to become an AI engineer.
Learn Python.
Master machine learning.
Understand LLMs.
Build RAG systems.
Create AI agents.
Learn model evaluation.
Deploy AI applications.
Build real-world projects.
What's stopping you from becoming an AI engineer?
A question I've been thinking about 👀
If a list is unsorted, would you use Linear Search or Binary Search?
I'm learning that the right algorithm depends on the data. What's your pick? 👇
#100DaysOfCode
KENNEDY | Dev in Progress 🚀 retweeted
One of the reasons many tech learners are struggling to monetise their skills is that most of them lack hands-on experience.
Next month, we will officially launch our paid internship platform, which will accommodate at least 200 interns per cohort. Intern with us and earn
KENNEDY | Dev in Progress 🚀 retweeted
Day 27 of learning #DSA
I'm learning when to use Linear VS Binary Search
Linear Search works on unsorted lists. Binary Search needs sorted data.
Choosing the right approach matters! 💻
#BuildInPublic
KENNEDY | Dev in Progress 🚀 retweeted
I remember my code days. I first learnt about these two in high school and still remember how we use a mid-point based approach in binary search. Thank you for the nostalgic moment.
