My AI side hustle makes me $4,921/week.
I created a guide to help you start one and make $300/day.
Usually, I charge $99 for this guide, but today it's 100% FREE.
Like + comment "Send" & I'll DM it to you.
Must follow me to get guide in your DM.
https://t.co/2bMycIPtkr
Stop relying on random AI-generated movements. For complete control over your AI character, use a reference video and get precise motion syncing—no complicated prompts required.
https://t.co/6f2RM4m9Fs
A man spends 50 years teaching at MIT.
He knows his time is running out.
So he records one last lecture — everything he knows, distilled into a single hour.
He died 5 months later.
This is that lecture.
The most important hour you'll watch this week. 👇
Bookmark it for later
A lot of AI agent products promise “automation.”
What they actually give you is another dashboard to micromanage.
You spend hours wiring prompts, APIs, workflows, memory systems, and tool calls before the agents even begin doing real work.
That’s been my experience with most agent stacks so far.
Then I tried @helioim_ai
The difference hit immediately.
Instead of configuring everything like an engineer, I just gave the system an outcome.
The AI teammates coordinated tasks, delegated work between themselves, and started executing while I was away.
No babysitting. No endless tweaking. No orchestration headaches.
For the first time, an AI agent product felt less like “using software” and more like hiring a small autonomous team.
That’s the direction the market is moving toward fast.
The interesting part isn't that agents can generate video.
It's that we're starting to give them better creative direction.
design.md standardized visual identity.
frame.md standardizes motion identity.
The difference between a generated video and a branded video is often not the assets.
It's the decisions between frames.
I analyzed hundreds of interview questions, they all came down to a few patterns....👀
Most students think they need to solve hundreds of random LeetCode questions.
That's why they get stuck.
DSA is not about memorizing solutions.
It's about recognizing patterns.
Here's the roadmap I wish someone gave me:
→ Step 1: Learn Big O Notation
* Time Complexity
* Space Complexity
* Best, Average, Worst Case
Resources:
* Abdul Bari Mohammed
* NeetCode
* CS Dojo
→ Step 2: Master Core Data Structures
* Arrays
* Strings
* Hash Maps
* Linked Lists
* Stacks
* Queues
Solve 10-20 problems per topic.
Not 100 random ones.
→ Step 3: Learn Problem-Solving Patterns
* Two Pointers
* Sliding Window
* Prefix Sum
* Binary Search
* Fast & Slow Pointer
This is where interviews start becoming easier.
→ Step 4: Trees
* DFS
* BFS
* Binary Trees
* BST
* Heaps
* Priority Queues
→ Step 5: Recursion & Backtracking
* Subsets
* Permutations
* N-Queens
* Sudoku
Painful at first.
Worth it later.
→ Step 6: Graphs
* BFS
* DFS
* Topological Sort
* Union Find
* Shortest Path Algorithms
Many candidates stop before this.
Don't.
→ Step 7: Dynamic Programming
* 1D DP
* 2D DP
* Knapsack
* LIS
* DP on Trees
The goal isn't memorization.
The goal is pattern recognition.
→ Step 8: Advanced Topics
* Segment Trees
* Tries
* Bit Manipulation
* Advanced Graph Algorithms
For top product companies.
Save this, you'll need it later (3 dots, top right)
🔁 Repost to share in your network!
My favorite learning path:
1. Learn concept
2. Watch 2-3 examples
3. Solve easy problems
4. Solve medium problems
5. Revisit after a week
Follow @vishisinghal_ for more !!
What topic are you struggling with right now?
Most AI conversations today depend on retrieval, search, and increasingly complex prompting.
But what if the real limitation is the architecture itself?
The idea that memory should be native to the model rather than constantly fetched from external systems is a fascinating direction for AI research.
"Memory is not Search" challenges one of the biggest assumptions in modern AI, and Large Memory Models could open up an entirely new way of thinking about intelligence.
Excited to see where this goes.
@EngrammeHQ
Paper: https://t.co/vURpfvfObZ
STOP TREATING CLAUDE LIKE A JUNIOR DEVELOPER.
Stop saying:
❌ “Do this.”
❌ “Write code.”
❌ “Fix this error.”
You’re talking to a senior AI like it’s an intern.
Here are 8 prompts that instantly improve Claude’s output:
Most people use AI for fun.
Top performers use it for leverage.
• Faster research
• Better decision-making
• Cleaner communication
• Stronger ideas
• Quicker execution
• More confidence under pressure
AI is becoming the ultimate career advantage.
https://t.co/Re980t8ngP
This guy used Claude to build a Quant Bot and made +$589,139 on Polymarket
25,388 predictions with a 63% win rate in 77 days
That comes out to roughly $7,651 in profit per day and almost 14 trades per hour
With $217K in deposits, he is now up 2.7x, which is about +271.5% ROI
The bot strategy is simple:
It finds markets where the pricing is still off,
gets in before the odds fully catch up,
and repeats the same setup again and again across many entries.
The edge on each trade is small, but scale and repetition turn it into a massive result
Most profitable trades:
$17,839 → $36,318 (+$18,478, +103.58%)
$3,112 → $15,011 (+$11,898, +382.22%)
$10,676 → $22,178 (+$11,502, +107.74%)
What makes it work is not one huge trade. It is the same small advantage, applied fast, applied often, and repeated until the pricing gap is gone
Giving this free for 24 hours.
To get it:
1. Comment 'Prediction'
2. Like and retweet this
3. Follow @Tanju_mim so I can DM you
You can earn $8000 monthly if you have ChatGPT, a laptop, an internet connection, and 60 mins a day.
Usually, I'd charge $87 for this guide, but today you get it 100% FREE.
Like + comment 'AI' & I'll send you my full guide for FREE.
Must follow me to get DM.
FREE for 48 hrs.