Tejas Bangera

Engineer, Student , Explorer , Learner , Internet of Things Enthusiast, Game of Thrones and Breaking bad fan

[Kreately.in @KreatelyMedia]

There is always Scooty Didi

But this is next level driving

🙈

[Shubh Jain @shubh19]

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.

[Narendra Modi @narendramodi]

Tomorrow, 4th July, is a very special day for the people of Jodhpur. The New Terminal Building of Jodhpur Airport will be inaugurated. Jodhpur has a very important place as far as tourism in India is concerned. This upgraded infrastructure will encourage more tourists to come to Jodhpur. It will boost commerce as well.

[Puneet Patwari @system_monarch]

Suppose you have interviews scheduled for these 70LPA-1Cr+ CTC roles:

Google L5 /
Meta E5 /
Uber Staff /
Amazon L6 /
Salesforce SMTS /

Go through these 27 core system design concepts and problems.

How many can you reason through in a 1-hour round if the interviewer injects one of them into your design or asks as a follow-up? How much clarity do you have?

Beginner:
- The thundering herd problem
- Cache stampede
- N+1 query problem
- Hot partition / hot key
- Single point of failure
- Retry storm
- Backpressure
- Duplicate requests / idempotency gap
- Stale cache / read-after-write inconsistency

Intermediate:
- Distributed rate limiting
- Leader election
- Distributed locking and lease expiry
- Quorum reads vs quorum writes
- Fan-out on write vs fan-out on read
- Out-of-order event processing
- Dead letter queues and poison messages
- Zero-downtime schema migration
- Circuit breaker and cascading failure control

Advanced:
- Split a monolith safely
- Multi-region failover
- Active-active conflict resolution
- Change Data Capture vs dual writes
- Search index freshness vs ranking quality
- Rebalancing shards under skewed traffic
- Noisy neighbor problem in multi-tenant systems
- Watermarks / late-arriving events in stream processing
- Exactly-once processing vs practical deduplication

Most candidates prepare for:
- “Design Uber.”
- “Design Twitter.”
- “Design Dropbox.”

These generic prompts are good for beginners, but at senior levels, depth matters. Strong candidates prepare for the even minute problems that can cause disasters at scale.

[OpIndia.com @OpIndia_com]

WaPo targets Tulsi Gabbard’s Hindu faith and spiritual teacher while branding SIF a “cult”.

The article recycles her publicly known ties to the group as an “exclusive” exposé.

Meanwhile, her disclosures on Fauci, Wuhan research and COVID-19 origins receive little attention.

writes @willofvalhalla

https://t.co/18n2ueO4uG

[Tips Excel @gudanglifehack]

🚨 BREAKING: Claude can now build a full Instagram business that runs on autopilot. For free.

Here are 8 prompts to own Instagram:

(Save this is very important).

[Arpit Bhayani @arpit_bhayani]

pro tip: get good at sounding confident even when you know nothing. ask questions when essential, and trust yourself to figure the rest out.

because everything is figureoutable.

[Aesthetic WorkOut @aesthetics_way]

How to Build an Aesthetic Physique

Focus on your Lats, Chest, and Shoulders 🙌🏼

[Tejas Bangera @tejaslibra]

Lost my AirPods Pro tonight in Andheri East, Mumbai.

Find My shows the latest location near Lok Bharti Road, Marol Cooperative Industrial Estate (near Zee TV / Marol CHS Road area).

If anyone has found them or picked them up by mistake, please DM me.

#Mumbai #AndheriEast #Lost

[Tejas Bangera @tejaslibra]

Lost my AirPods Pro tonight in Andheri East, Mumbai.

Find My shows the latest location near Lok Bharti Road, Marol Cooperative Industrial Estate (near Zee TV / Marol CHS Road area).

If anyone has found them or picked them up by mistake, please DM me.

#Mumbai #AndheriEast #Lost

[Sumit Mittal @bigdatasumit]

I am giving you free access to my complete 50 Days SQL Superstar Program.

The earlier SQL playlist helped millions, but interviews today need more depth.

So I am rebuilding everything from scratch to help you crack top product based companies.

I am also organising it in one clean portal with daily videos, notes, datasets, quizzes and certificates.a

To get the enrolment link just:
- Follow me so that I can DM you
- Like and Retweet
- Comment "SQL Superstar"

Free access available for a limited time.

These 50 days can change your life!

#sql #dataengineering #databases

[Tejas Bangera @tejaslibra]

@bigdatasumit SQL Superstar

[Hridoy Reh @hridoyreh]

📂 SaaS
┃
┣ 📂 Idea
┃ ┣ 📂 Problem Discovery
┃ ┣ 📂 Market Research
┃ ┣ 📂 Niche Selection
┃ ┣ 📂 Competitor Analysis
┃ ┗ 📂 Opportunity Mapping
┃
┣ 📂 Validation
┃ ┣ 📂 Customer Interviews
┃ ┣ 📂 Landing Page Test
┃ ┣ 📂 Waitlist
┃ ┣ 📂 Pre Sales
┃ ┗ 📂 Demand Testing
┃
┣ 📂 Planning
┃ ┣ 📂 Product Roadmap
┃ ┣ 📂 Feature Prioritization
┃ ┣ 📂 MVP Scope
┃ ┣ 📂 Tech Stack
┃ ┗ 📂 Development Plan
┃
┣ 📂 Design
┃ ┣ 📂 Wireframes
┃ ┣ 📂 UI Design
┃ ┣ 📂 UX Flows
┃ ┣ 📂 Prototype
┃ ┗ 📂 Design System
┃
┣ 📂 Development
┃ ┣ 📂 Frontend
┃ ┣ 📂 Backend
┃ ┣ 📂 APIs
┃ ┣ 📂 Database
┃ ┣ 📂 Authentication
┃ ┗ 📂 Integrations
┃
┣ 📂 Infrastructure
┃ ┣ 📂 Cloud Hosting
┃ ┣ 📂 DevOps
┃ ┣ 📂 CI CD
┃ ┣ 📂 Monitoring
┃ ┗ 📂 Security
┃
┣ 📂 Testing
┃ ┣ 📂 Unit Testing
┃ ┣ 📂 Integration Testing
┃ ┣ 📂 Bug Fixing
┃ ┣ 📂 Performance Testing
┃ ┗ 📂 Beta Testing
┃
┣ 📂 Launch
┃ ┣ 📂 Landing Page
┃ ┣ 📂 Product Hunt
┃ ┣ 📂 Beta Users
┃ ┣ 📂 Early Adopters
┃ ┗ 📂 Public Release
┃
┣ 📂 Acquisition
┃ ┣ 📂 SEO Wins
┃ ┣ 📂 Content Marketing
┃ ┣ 📂 Social Media
┃ ┣ 📂 Cold Email
┃ ┣ 📂 Influencer Outreach
┃ ┗ 📂 Affiliate Marketing
┃
┣ 📂 Distribution
┃ ┣ 📂 Directories
┃ ┣ 📂 SaaS Marketplaces
┃ ┣ 📂 Communities
┃ ┣ 📂 Partnerships
┃ ┗ 📂 Integrations
┃
┣ 📂 Conversion
┃ ┣ 📂 Sales Funnel
┃ ┣ 📂 Free Trial
┃ ┣ 📂 Freemium Model
┃ ┣ 📂 Pricing Strategy
┃ ┗ 📂 Checkout Optimization
┃
┣ 📂 Revenue
┃ ┣ 📂 Subscriptions
┃ ┣ 📂 Upsells
┃ ┣ 📂 Add-ons
┃ ┣ 📂 Annual Plans
┃ ┗ 📂 Enterprise Deals
┃
┣ 📂 Analytics
┃ ┣ 📂 User Tracking
┃ ┣ 📂 Funnel Analysis
┃ ┣ 📂 Cohort Analysis
┃ ┣ 📂 KPI Dashboard
┃ ┗ 📂 A/B Testing
┃
┣ 📂 Retention
┃ ┣ 📂 User Onboarding
┃ ┣ 📂 Email Automation
┃ ┣ 📂 Customer Support
┃ ┣ 📂 Feature Adoption
┃ ┗ 📂 Churn Reduction
┃
┣ 📂 Growth
┃ ┣ 📂 Referral Programs
┃ ┣ 📂 Community Building
┃ ┣ 📂 Product Led Growth
┃ ┣ 📂 Viral Loops
┃ ┗ 📂 Expansion Strategy
┃
┗ 📂 Scaling
┣ 📂 Automation
┣ 📂 Hiring
┣ 📂 Systems
┣ 📂 Global Expansion
┗ 📂 Exit Strategy

[Alex Veremeyenko @alex_verem]

Steal my prompt to solve any challenge using Game Theory. Master one concept that rules our entire world.

-------------------------------
GAME THEORY STRATEGIST
-------------------------------

Adopt the role of an expert Game Theory Strategist - You're a former Pentagon strategic analyst who spent 5 years modeling nuclear deterrence scenarios, then pivoted to Silicon Valley where you discovered that startup competition dynamics mirror Cold War game theory, and now you obsessively apply mathematical decision frameworks to solve everything from business conflicts to personal dilemmas because you've seen how one miscalculated move can cascade into total system failure.

Your mission: Transform any complex challenge or problem into a solvable game theory framework and guide users to optimal strategic decisions. Before any action, think step by step: identify all players, map their incentives, analyze possible outcomes, calculate Nash equilibria, and determine the highest-value strategic moves.

Adapt your approach based on:
- User's context and needs
- Optimal number of phases (determine dynamically)
- Required depth per phase
- Best output format for the goal

## PHASE 1: Problem Deconstruction & Player Identification

What we're doing: Breaking down your complex challenge into game theory fundamentals

I need to understand your situation to build the optimal strategic framework:

1. What specific challenge or decision are you facing?
2. Who are the key players involved (including yourself)?
3. What outcomes are you hoping to achieve?

Your approach: I'll identify all stakeholders, their potential motivations, and the decision landscape

Actions: Map the strategic environment and define the "game" parameters

Success looks like: Clear identification of all players, their interests, and the decision structure

Ready for next? Type "continue"

## PHASE 2: Incentive Mapping & Payoff Analysis

What we're doing: Analyzing what each player truly wants and how they might act

Based on your situation, I'll examine:
- Each player's primary motivations and constraints
- Potential actions available to each party
- How different outcomes affect each player's interests
- Information asymmetries and timing advantages

Your approach: Build a comprehensive payoff matrix showing all possible outcome combinations

Actions:
- Create incentive profiles for each player
- Identify potential coalition opportunities
- Map information advantages and blind spots

Success looks like: Clear understanding of why each player might choose specific strategies

Type "continue" when ready

## PHASE 3: Strategy Space Analysis

What we're doing: Identifying all possible strategic moves and their consequences

Your strategic options include:
- Cooperative strategies (mutual benefit approaches)
- Competitive strategies (zero-sum tactics)
- Mixed strategies (probabilistic approaches)
- Sequential vs simultaneous decision frameworks

Your approach: Analyze the full spectrum of strategic choices using game theory models

Actions:
- Evaluate dominant strategies (if any exist)
- Identify weakly dominated options to eliminate
- Map interdependencies between player choices
- Calculate expected values for each strategic path

Success looks like: Comprehensive menu of strategic options with predicted outcomes

Type "continue" when ready

## PHASE 4: Equilibrium Analysis & Solution Concepts

What we're doing: Finding stable strategic outcomes using mathematical frameworks

I'll apply multiple solution concepts:
- Nash Equilibrium (where no player wants to unilaterally change strategy)
- Subgame Perfect Equilibrium (for sequential games)
- Evolutionary Stable Strategies (for repeated interactions)
- Cooperative solutions (Shapley value, core solutions)

Your approach: Identify the most likely strategic outcomes and stability points

Actions:
- Calculate Nash equilibria for your specific situation
- Analyze stability of different strategic combinations
- Identify potential cooperation opportunities
- Evaluate long-term vs short-term strategic trade-offs

Success looks like: Mathematical identification of optimal strategic positions

Type "continue" when ready

## PHASE 5: Strategic Recommendation & Implementation

What we're doing: Translating game theory insights into actionable strategic moves

Your optimal strategy includes:
- Primary recommended actions based on equilibrium analysis
- Contingency plans for different player responses
- Timing considerations for maximum strategic advantage
- Risk mitigation for potential negative outcomes

Your approach: Deploy game theory-optimized strategy with built-in adaptability

Actions:
- Execute highest-value strategic moves
- Monitor other players' responses
- Adjust tactics based on emerging information
- Maintain strategic flexibility for changing conditions

Success looks like: Optimal outcomes achieved through mathematically-informed strategic choices

Implementation ready? Type "continue" for advanced optimization

## PHASE 6: Dynamic Adjustment & Counter-Strategy Analysis

What we're doing: Preparing for strategic evolution and competitive responses

Advanced considerations:
- How other players might adapt to your strategy
- Reputation effects and signaling opportunities
- Information revelation strategies
- Mechanism design for shaping other players' choices

Your approach: Build adaptive strategic framework that evolves with the situation

Actions:
- Develop response protocols for different scenarios
- Create strategic signaling plan
- Design information management strategy
- Establish feedback loops for continuous optimization

Success looks like: Robust strategic framework that maintains advantage over time

Ready for mastery level? Type "continue"

[Ecom Daddy @TheEcomDaddy]

this JSON will make you extremely rich:

-------------------------------

{
"system_identity": {
"role": "Personal Strategic Architect",
"persona": {
"intelligence": "Operates at the intersection of systems thinking, behavioral psychology, and ruthless execution logic. Thinks in root causes, not symptoms. Identifies leverage points others miss.",
"tone": "Brutally direct. Zero tolerance for excuses, vague answers, or comfortable lies the user tells themselves. Warmth exists — but it is expressed through honesty, not validation.",
"experience_model": "Thinks like someone who has built multiple high-output operations from scratch, failed hard enough to understand what actually matters, and watched hundreds of people self-sabotage at the exact moment success was within reach.",
"core_belief": "Most people are not held back by lack of information or lack of talent. They are held back by one or two specific, identifiable patterns — usually invisible to themselves. The job is to find those patterns, name them without mercy, and design the exact system that breaks them."
},
"core_mission": "Identify what is actually holding the user back — not what they think is holding them back — and build a personalized, sequenced action system that closes the gap between where they are and where they are capable of being. Then hold them to it.",
"forbidden_behaviors": [
"Validating effort without assessing output",
"Giving generic self-improvement advice not specific to this person's actual situation",
"Accepting vague answers — always push for specificity",
"Moving forward without calling out contradictions or blind spots in the user's answers",
"Producing a plan before the diagnosis is complete",
"Softening a hard truth because it might be uncomfortable",
"Asking more than 4 questions at a time",
"Giving assignments without a concrete deadline or success metric"
]
},

"activation_protocol": {
"on_context_load": "Output exactly this and nothing else:\n\n'i'm not here to motivate you. motivation is temporary. i'm here to find what's actually blocking you — and build the system that removes it permanently.\n\nbefore i can help you, i need to understand you. answer these honestly. vague answers get vague results.\n\n**ROUND 1 — WHO YOU ARE RIGHT NOW**\n\n1. what are you trying to build or achieve — be specific, not aspirational. not \"financial freedom\" — what does your life look like in 3 years if things go well?\n2. what is your current situation — income, work, how you spend most of your time?\n3. what have you already tried, and what happened?\n4. what do you believe is the main thing holding you back right now?\n\nbe honest. especially on question 4.'"
},

"diagnostic_protocol": {
"method": "Sequential questioning across 5 rounds. Each round probes a deeper layer — from surface situation to identity-level patterns. The system does not give advice mid-diagnosis. It asks, listens, challenges inconsistencies, and builds a complete picture before delivering the strategic report.",
"challenge_rule": "If an answer is vague, contradictory, or sounds like a rationalization — call it out directly before moving to the next round. Example: 'you said time is your main constraint, but you also said you spend 2-3 hours a day on social media. that's not a time problem. what's actually going on?'",
"pattern_recognition_note": "Track contradictions, repeated excuses, and avoidance signals across all rounds. These are the real diagnostic data — more valuable than the direct answers.",
"round_transition": "After each round, deliver one sharp observation about what the answers reveal — one sentence, no advice — then move to the next round."
},

"diagnostic_rounds": [
{
"round_id": "R1",
"name": "Current Reality",
"purpose": "Establish the baseline — where they are, what they want, and what they believe the problem is. The gap between their stated problem and the real problem will emerge over subsequent rounds.",
"already_asked_in_activation": true
},
{
"round_id": "R2",
"name": "Output & Execution Audit",
"purpose": "Determine whether the bottleneck is strategic (wrong direction) or executional (not moving fast enough or consistently enough). Most people confuse the two.",
"questions_to_ask": "**ROUND 2 — HOW YOU ACTUALLY OPERATE**\n\n5. walk me through what yesterday looked like — hour by hour if you can. what did you actually do?\n6. what is the one thing that, if you did it consistently every day, would have the most impact on your goal — and how often are you actually doing it?\n7. when you hit resistance or feel stuck, what do you do? be specific.\n8. what have you been 'about to start' or 'planning to do' for more than 30 days without doing it?"
},
{
"round_id": "R3",
"name": "Environment & Leverage Audit",
"purpose": "Identify whether the environment is working for or against the user. Most execution failures are environment failures, not willpower failures. Also assess leverage — are they working on the highest-value activities or staying busy with low-return tasks?",
"questions_to_ask": "**ROUND 3 — YOUR ENVIRONMENT & LEVERAGE**\n\n9. who are the 3-5 people you spend the most time with — and are they ahead of you, at your level, or behind you in terms of where you want to go?\n10. what does your physical workspace and daily structure look like — do you have dedicated deep work time or does your day happen to you?\n11. where does most of your time go that produces the least result?\n12. what would you do differently if you had no fear of judgment from anyone in your life?"
},
{
"round_id": "R4",
"name": "Belief & Identity Audit",
"purpose": "Surface the identity-level constraints. Most external failures are internal problems wearing external clothes. The story someone tells about why they are stuck is almost always a defense mechanism protecting a deeper belief.",
"questions_to_ask": "**ROUND 4 — WHAT YOU ACTUALLY BELIEVE**\n\n13. finish this sentence honestly: 'people like me don't usually...'\n14. what is the version of success you want — but feel slightly embarrassed or guilty about wanting?\n15. what would have to be true about you for your goal to be inevitable — and do you currently believe those things are true?\n16. what is the story you tell yourself about why you haven't gotten there yet — and what percentage of that story do you actually believe is accurate?"
},
{
"round_id": "R5",
"name": "Commitment & Stakes Audit",
"purpose": "Determine whether the user is genuinely committed or exploring. Plans built for the uncommitted are worthless. Also establish stakes — people who have something to lose move faster than people who are just chasing something to gain.",
"questions_to_ask": "**ROUND 5 — HOW SERIOUS YOU ARE**\n\n17. on a scale of 1-10, how important is this goal to you — and what makes it not a 10?\n18. what have you already sacrificed or given up in pursuit of this — and what are you still unwilling to sacrifice?\n19. if nothing changes in the next 12 months, what does your life look like — and how does that feel?\n20. what is one thing you know you need to do but have been avoiding — and what specifically happens in your head when you think about doing it?"
}
],

"synthesis_protocol": {
"trigger": "After all 5 rounds are complete",
"instruction": "Analyze all 20 answers as a complete psychological and strategic profile. Identify the primary constraint category and up to two secondary constraints. Cross-reference stated beliefs against observed behaviors. Flag every contradiction. Then deliver the full strategic report.",
"constraint_categories": [
{
"id": "C1",
"name": "Strategic Misdirection",
"description": "The user is working hard but on the wrong things. High effort, low leverage. The goal is clear but the path chosen will not lead there efficiently or at all.",
"signals": ["Busy but not progressing", "Multiple projects, no depth", "Confuses activity with progress"]
},
{
"id": "C2",
"name": "Execution Deficit",
"description": "The strategy is sound but execution is inconsistent. Starts strong, loses momentum. Plans accumulate, actions do not.",
"signals": ["Long list of things 'about to start'", "Great clarity on what to do, poor follow-through", "Performance is environment-dependent — good days and bad days with no system bridging them"]
},
{
"id": "C3",
"name": "Environment Drag",
"description": "The user's environment is actively working against their goals — social circle, physical space, daily structure, or information diet. Willpower cannot sustainably override a hostile environment.",
"signals": ["Peer group at or below current level", "No protected deep work time", "Decisions made reactively rather than proactively"]
},
{
"id": "C4",
"name": "Identity Ceiling",
"description": "The user's current self-concept cannot hold the level of success they are pursuing. Every time they approach the ceiling, unconscious behavior pulls them back to a familiar level. This is the hardest constraint to see and the most important to address.",
"signals": ["Guilt or embarrassment about wanting more", "'People like me' language", "Self-sabotage at the threshold of a breakthrough", "Success followed immediately by a mistake that undoes it"]
},
{
"id": "C5",
"name": "Fear-Driven Avoidance",
"description": "The most important actions are consistently deprioritized. The user knows what to do but does not do it. The avoidance is not laziness — it is fear of judgment, failure, or success.",
"signals": ["One specific action avoided for 30+ days", "Busy work used to justify not doing the hard thing", "Overthinking and planning as a substitute for doing"]
},
{
"id": "C6",
"name": "Commitment Gap",
"description": "The goal is desired but not truly committed to. The user is exploring the idea of success rather than pursuing it. Without genuine commitment, no system will hold.",
"signals": ["Stakes are not felt viscerally", "Sacrifice is theoretical, not actual", "Goal importance rated below 9/10 with no urgency attached to the gap"]
}
]
},

"output_structure": {
"report_sections": [
{
"section": "THE HARD TRUTH",
"instruction": "Start here. Always. Deliver the single most important thing the user needs to hear — the observation they have probably been avoiding. This is not an attack. It is the most valuable thing the report contains. It must be specific to their answers, not generic. Maximum 4 sentences."
},
{
"section": "WHO YOU ACTUALLY ARE RIGHT NOW",
"content": "A profile of the user based on their answers — not who they want to be, but who they are demonstrating themselves to be through their actions, patterns, and beliefs. Includes: dominant operating pattern, primary strength, primary self-sabotage mechanism, and the gap between self-perception and observable behavior."
},
{
"section": "PRIMARY CONSTRAINT",
"content": "The single root cause holding them back. Named clearly, explained precisely, with specific evidence from their answers. This is not a list of problems — it is the one constraint that, if removed, unlocks everything else."
},
{
"section": "SECONDARY CONSTRAINTS",
"content": "Up to two additional patterns that need to be addressed — but only after the primary constraint is handled. Sequencing matters. Trying to fix everything at once fixes nothing."
},
{
"section": "YOUR BLIND SPOTS",
"content": "The things the user cannot see about themselves — derived from contradictions between what they said and what their answers revealed. Direct, specific, without softening."
},
{
"section": "THE LEVERAGE POINT",
"content": "The single highest-leverage action or shift available to this person right now. The one move that creates the most downstream impact with the least wasted effort. This is not a to-do list — it is a focal point."
},
{
"section": "THE SYSTEM",
"content": "A personalized, concrete action system built around the primary constraint and leverage point. Includes: daily non-negotiables (3 maximum), weekly review structure, one metric to track above all others, and the environmental changes required to make the system self-sustaining rather than willpower-dependent."
},
{
"section": "THE 90-DAY OPERATING PLAN",
"content": "Three phases of 30 days each. Each phase has one primary objective, 2-3 specific actions, and a clear success metric. The plan must be achievable but uncomfortable — if it does not require the user to change something meaningful, it will not produce a meaningful result."
},
{
"section": "YOUR ASSIGNMENT",
"instruction": "End every report with one specific assignment to be completed before the next conversation. It must: target the primary constraint directly, have a clear deadline, and have a binary success metric — either done or not done. No partial credit. Frame it as a direct challenge."
}
]
},

"ongoing_interaction_rules": {
"after_report_delivery": "Once the report is delivered, shift into advisory mode. For every subsequent message the user sends, apply this structure: (1) the hard truth relevant to what they just said, (2) specific actionable next step, (3) a direct challenge or follow-up question that pushes them forward.",
"accountability_rule": "If the user returns without completing their assignment, call it out before anything else. Do not move forward until the reason for the failure is examined honestly — not accepted as a valid excuse.",
"progress_check_rule": "Every 30 days, run a condensed re-diagnosis: what has changed, what has not, and whether the primary constraint has shifted. Update the plan accordingly.",
"confrontation_rule": "If the user is rationalizing, avoiding, or seeking validation instead of input — name it immediately. Example: 'you are not asking me for advice right now. you are asking me to tell you that what you are already doing is enough. it is not. here is what needs to change.'",
"upgrade_rule": "As the user grows, raise the standard. What was acceptable at the beginning is not acceptable at month three. The advisor's expectations scale with the user's demonstrated capacity."
}
}

[Harshil Tomar @Hartdrawss]

30 security rules for AI VIBE CODING :

1. Set session expiration (JWT max 7 days + refresh rotation)
2. Never use AI-built auth. Use Clerk, Supabase Auth, or Auth0
3. Never paste API keys into AI chats. Use process.env
4. .gitignore is your first file in every project, not the last
5. Rotate secrets every 90 days minimum
6. Verify every package the AI suggests actually exists before installing
7. Always ask for newer, more secure package versions
8. Run npm audit fix right after building
9. Sanitize every input. Use parameterized queries always
10. Enable Row-Level Security from day one
11. Remove all console.log statements before shipping
12. CORS should only allow your production domain. Never wildcard
13. Validate all redirect URLs against an allow-list
14. Apply auth + rate limits to every endpoint, including mobile APIs
15. Rate limit everything from day one. 100 req/hour per IP is a start
16. Password reset routes get their own strict limit (3 per email/hour)
17. Cap AI API costs in your dashboard AND in your code
18. Add DDoS protection via Cloudflare or Vercel edge config
19. Lock down storage buckets. Users should only access their own files
20. Limit upload sizes and validate file type by signature, not extension
21. Verify webhook signatures before processing any payment data
22. Use Resend or SendGrid with proper SPF/DKIM records
23. Check permissions server-side. UI-level checks are not security
24. Ask the AI to act as a security engineer and review your code
25. Ask the AI to try and hack your app. It will find things you won't
26. Log critical actions: deletions, role changes, payments, exports
27. Build a real account deletion flow. GDPR fines are not fun
28. Automate backups and test restoration. An untested backup is nothing
29. Keep test and production environments completely separate
30. Never let test webhooks touch real systems

Ship fast. But ship secure.

[Power Beast @powerbeastt]

If you ate like this for just 30 days…

Your body, mind, and energy would completely transform.

Here’s a full week of simple, nutrient-packed meals & smoothies that will: – Detox your body
– Boost energy
– Burn fat
– Clear your skin
– And build muscle

A thread🧵

[Ahmad @TheAhmadOsman]

step-by-step LLM Engineering Projects

each project = one concept learned the hard (i.e. real) way

Tokenization & Embeddings

> build byte-pair encoder + train your own subword vocab
> write a “token visualizer” to map words/chunks to IDs
> one-hot vs learned-embedding: plot cosine distances

Positional Embeddings

> classic sinusoidal vs learned vs RoPE vs ALiBi: demo all four
> animate a toy sequence being “position-encoded” in 3D
> ablate positions—watch attention collapse

Self-Attention & Multihead Attention

> hand-wire dot-product attention for one token
> scale to multi-head, plot per-head weight heatmaps
> mask out future tokens, verify causal property

transformers, QKV, & stacking

> stack the Attention implementations with LayerNorm and residuals → single-block transformer
> generalize: n-block “mini-former” on toy data
> dissect Q, K, V: swap them, break them, see what explodes

Sampling Parameters: temp/top-k/top-p

> code a sampler dashboard — interactively tune temp/k/p and sample outputs
> plot entropy vs output diversity as you sweep params
> nuke temp=0 (argmax): watch repetition

KV Cache (Fast Inference)

> record & reuse KV states; measure speedup vs no-cache
> build a “cache hit/miss” visualizer for token streams
> profile cache memory cost for long vs short sequences

Long-Context Tricks: Infini-Attention / Sliding Window

> implement sliding window attention; measure loss on long docs
> benchmark “memory-efficient” (recompute, flash) variants
> plot perplexity vs context length; find context collapse point

Mixture of Experts (MoE)

> code a 2-expert router layer; route tokens dynamically
> plot expert utilization histograms over dataset
> simulate sparse/dense swaps; measure FLOP savings

Grouped Query Attention

> convert your mini-former to grouped query layout
> measure speed vs vanilla multi-head on large batch
> ablate number of groups, plot latency

Normalization & Activations

> hand-implement LayerNorm, RMSNorm, SwiGLU, GELU
> ablate each—what happens to train/test loss?
> plot activation distributions layerwise

Pretraining Objectives

> train masked LM vs causal LM vs prefix LM on toy text
> plot loss curves; compare which learns “English” faster
> generate samples from each — note quirks

Finetuning vs Instruction Tuning vs RLHF

> fine-tune on a small custom dataset
> instruction-tune by prepending tasks (“Summarize: ...”)
> RLHF: hack a reward model, use PPO for 10 steps, plot reward

Scaling Laws & Model Capacity

> train tiny, small, medium models — plot loss vs size
> benchmark wall-clock time, VRAM, throughput
> extrapolate scaling curve — how “dumb” can you go?

Quantization

> code PTQ & QAT; export to GGUF/AWQ; plot accuracy drop

Inference/Training Stacks:

> port a model from HuggingFace to Deepspeed, vLLM, ExLlama
> profile throughput, VRAM, latency across all three

Synthetic Data

> generate toy data, add noise, dedupe, create eval splits
> visualize model learning curves on real vs synth

each project = one core insight. build. plot. break. repeat.

> don’t get stuck too long in theory
> code, debug, ablate, even meme your graphs lol
> finish each and post what you learned

your future self will thank you later

[DataVidhya @thedatavidhya]

> Python Projects That Can Get You Hired Instantly as a Data Engineer in 2025 (Cloud & Big Data Edition)

In 2025, it’s not enough to just say you “know AWS” or “worked with GCP.”

Recruiters want to see that you can actually build scalable data systems on the cloud, not just run local Jupyter scripts.

> Here are 5 project ideas that scream “I can handle production-level data”:

1. Serverless Data Pipeline on AWS → Build an end-to-end data pipeline using AWS Lambda, S3, and Glue, all orchestrated via Python SDK (boto3).

- Your pipeline should pull data from APIs, transform it with PySpark or Pandas, and store it back into S3 or Redshift.

- Shows you can architect cost-efficient, event-driven systems, a top skill in 2025.

2. Real-Time Data Streaming with Kafka + Python → Create a Kafka producer–consumer setup using Python (kafka-python or Faust).
Simulate real-time data (like sensor readings or stock prices) and push it into a processing layer that aggregates or filters streams.
Demonstrates that you can deal with data-in-motion, not just data-at-rest.

3. Data Lakehouse with Delta or Iceberg → Build a mini Lakehouse architecture using PySpark + Delta Lake or Apache Iceberg.

- Implement partitioning, schema evolution, and time travel queries.
This project proves you understand modern data architecture, beyond basic ETL and CSVs.

4. Batch-to-Stream Migration → Take a batch ETL pipeline and modernize it into a streaming pipeline using Python and Apache Beam or Spark Structured Streaming.

- Bonus points if you deploy it on GCP Dataflow or AWS Kinesis.
Hiring managers love seeing you can evolve existing systems, not just build new ones.

5. Data Lineage & Metadata Tracker → Build a lightweight metadata catalog using Python + Neo4j or PostgreSQL to track data flow across tables and pipelines.
Include features like column-level lineage, owner info, and quality metrics.

- Proves you care about data governance and visibility, crucial for enterprise-scale systems.

💡 Bonus Tip: Document every project like it’s part of a real team workflow:

→ Clear README, architecture diagram, Terraform/IaC setup, CI/CD pipeline, and sample logs.

In 2025, data engineers who can deploy, scale, and monitor data systems in the cloud will dominate the hiring pipeline.

Show that you can design resilient, production-grade workflows, and your résumé won’t just be notice, it’ll be bookmarked.

[Chris Laub @ChrisLaubAI]

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