How to Handle Difficult People While Staying Composed

1. Don't Respond to Every Provocation Not every harsh comment deserves your energy. Silence can often be the strongest reply.
2. Their Chaos Isn't Yours to Carry Guard your peace. You're not responsible for fixing every conflict they create.
3. Set Boundaries and Speak Honestly Stay respectful but firm when something crosses your comfort zone.
4. Stay Grounded Amid Their Turmoil When they lose control emotionally, your calm presence will stand out more than any argument.
5. Keep Communication Simple Stick to clear facts instead of emotions to prevent unnecessary tension.
6. You're Not Their Counselor It's not your duty to analyze their behavior; stay focused on your own well-being.
7. Silence Can Be a Smart Response Taking a pause or choosing not to reply can say more than words ever could.
8. Change the Subject or Walk Away If the discussion turns toxic, change the topic or calmly remove yourself from it.
9. Prepare and Stay Centered Recognize their patterns, decide how you'll respond, and keep your composure.
10. Lean on Supportive People Share your feelings with trusted friends who can help you process and stay balanced.

Here are the 11 Negotiation Strategies NOT Taught in School by Natan Mohart:

1. The Mirror Move

• Repeat their last 2-3 words.
• Buys time and makes them reveal more.
• Creates instant rapport.

2. The Labeling Technique

• Name their emotion: "It sounds like you're concerned."
• Reduces defensiveness and builds trust instantly.

3. The No-Trigger

• Encourage "no" instead of "yes".
• "Would it be ridiculous to consider X?" creates control and safety.

4. The Calibrated Question

• Ask "How" and "What" -- never "Why".
• Turns confrontation into collaboration.

5. The Power Pause

• Stay silent for 3-4 seconds after they finish speaking.
• Silence creates pressure and reveals truth.

6. The 7-38-55 Body Language Rule

• 7% words, 38% tone, 55% body language.
• Align all three to project confidence and calm authority.

7. The Ackerman Method

• Start at 65%, then 85%, 95%, and finally 100% of your goal.
• Used by FBI negotiators for decades.

8. Deadline Effect

• Mention timing before price: "If we agree this week, what's possible?"
• Shifts focus from money to action.

9. The Black Swan Hunt

• Search for hidden motives and unseen constraints.
• One discovery can change the entire deal.

10. "THAT'S RIGHT" Moment

• Summarize their position until they say "That's right."
• It's the signal you've reached true alignment.

11. The Exit Prep (BATNA)

• Define your walk-away point before any talk.
• Clarity gives confidence under pressure.

85 AI TERMS EXPLAINED

Artificial Intelligence (AI)

Systems that perform tasks typically requiring human cognition: reasoning, learning, perception, decision-making.

Machine Learning (ML)

AI subset where systems learn patterns from data rather than following explicit programmed rules.

Deep Learning (DL)

Using multi-layered neural networks to learn hierarchical representations from large datasets.

Neural Network

Computational model using interconnected nodes (neurons) organized in layers to process information.

Learning Paradigms

• Supervised Learning: Training on labeled data where inputs are paired with correct outputs.
• Unsupervised Learning: Training on unlabeled data to discover hidden patterns or structures.
• Reinforcement Learning (RL): Learning through trial and error, optimizing actions based on reward signals.
• Self-Supervised Learning: Model generates its own labels from input data (e.g., predicting masked words).
• Transfer Learning: Applying knowledge from one task/domain to improve performance on another.
• Fine-Tuning: Adapting a pre-trained model to a specific task using targeted training.
• Zero-Shot Learning: Performing tasks without task-specific training examples.
• Few-Shot Learning: Learning from very limited examples (typically 1-10).

NLP & Language

• Natural Language Processing (NLP): AI focused on understanding, interpreting, and generating human language.
• Embedding: Dense vector representation capturing semantic meaning of text, images, or other data.
• Semantic Search: Search based on meaning/intent rather than keyword matching.
• Tokenization: Splitting text into tokens for model processing.
• Attention Mechanism: Allows models to weigh importance of different input parts when producing output.
• RLHF (Reinforcement Learning from Human Feedback): Training method using human preferences to align model behavior.

Model Architecture & Training

• Transformer: Architecture using self-attention mechanisms; foundation of modern LLMs.
• Large Language Model (LLM): Neural network trained on massive text data to understand and generate language.
• Foundation Model: Large model trained on broad data, adaptable to many downstream tasks.
• Parameters: Learnable weights in a model that adjust during training.
• Hyperparameters: Configuration settings fixed before training (learning rate, batch size, etc.).
• Training Data: Dataset used to teach a model patterns and relationships.
• Epoch: One complete pass through the entire training dataset.
• Batch Size: Number of samples processed before updating model parameters.
• Loss Function: Measures difference between predicted and actual outputs; guides optimization.
• Gradient Descent: Optimization algorithm that iteratively adjusts parameters to minimize loss.
• Backpropagation: Algorithm for computing gradients by propagating errors backward through the network.

Vision & Multimodal

• Computer Vision: AI that interprets and analyzes visual information from images/video.
• Multimodal AI: Models that process and relate multiple data types (text, image, audio).
• OCR (Optical Character Recognition): Converting images of text into machine-readable text.
• Image Segmentation: Partitioning an image into distinct regions or objects.
• Quantization: Reducing model precision (e.g., 32-bit to 8-bit) to decrease size and speed inference.
• Object Detection: Identifying and locating objects within images.

Generative AI

• Generative AI: AI that creates new content (text, images, audio, video, code).
• Prompt: Input text/instruction that directs a generative model's output.
• Token: Basic unit of text processing (word, subword, or character).
• Context Window: Maximum token length a model can process in one inference.
• Temperature: Parameter controlling output randomness; higher = more creative, lower = more deterministic.
• Inference: Using a trained model to generate predictions on new inputs.
• Diffusion Model: Generative model that learns to reverse a noise-adding process to create data.
• Autoregressive Model: Generates output sequentially, each token conditioned on previous ones.

Model Behavior & Problems

• Hallucination: Model generating plausible but factually incorrect or fabricated content.
• Overfitting: Model memorizes training data, failing to generalize to new inputs.
• Underfitting: Model too simple to capture underlying patterns in data.
• Bias: Systematic errors or unfair outcomes due to flawed data or design.
• Alignment: Ensuring AI systems behave according to human values and intentions.
• Jailbreaking: Attempts to bypass a model's safety constraints through adversarial prompts.
• Prompt Injection: Malicious inputs designed to override a model's instructions.

AI Agents & Systems

• AI Agent: System that perceives environment, reasons, and takes autonomous actions toward goals.
• Agentic AI: AI capable of multi-step planning, tool use, and independent task execution.
• Tool Use: AI's ability to invoke external functions, APIs, or services to complete tasks.
• Chain-of-Thought (CoT): Prompting technique that elicits step-by-step reasoning.
• RAG (Retrieval-Augmented Generation): Combining retrieval from external knowledge with generation for grounded outputs.
• MCP (Model Context Protocol): Open standard for connecting AI models to external tools and data sources.

Evaluation & Metrics

• Benchmark: Standardized test for comparing model performance.
• Accuracy: Proportion of correct predictions out of total predictions.
• Precision: Of positive predictions, proportion that are actually correct.
• Recall: Of actual positives, proportion correctly identified.
• F1 Score: Harmonic mean of precision and recall.
• Perplexity: Measures how well a language model predicts text; lower = better.
• BLEU Score: Metric for evaluating generated text against reference translations.
• Ground Truth: Verified correct answer used for training or evaluation.

Safety & Ethics

• Explainable AI (XAI): Methods making AI decision-making interpretable to humans.
• Red Teaming: Adversarial testing to identify vulnerabilities and failure modes.
• Constitutional AI: Training approach using principles to guide model behavior.
• Guardrails: Constraints preventing harmful or undesired model outputs.
• Data Privacy: Protecting personal information used in AI training and inference.
• Model Card: Documentation describing model's capabilities, limitations, and intended use.

Infrastructure & Deployment

• API (Application Programming Interface): Interface allowing software to interact with AI models programmatically.
• Latency: Time delay between input and model response.
• Throughput: Number of requests a system can handle per unit time.
• GPU (Graphics Processing Unit): Hardware accelerating parallel computations for AI training/inference.
• TPU (Tensor Processing Unit): Google's custom AI accelerator chips.
• Quantization: Reducing model precision (e.g., 32-bit to 8-bit) to decrease size and speed inference.
• Distillation: Training smaller models to mimic larger ones, preserving performance.
• Edge AI: Running AI models locally on devices rather than cloud servers.

Advanced Concepts

• Latent Space: Compressed representation space where similar concepts cluster together.
• Emergent Abilities: Capabilities appearing in large models not present in smaller versions.
• Scaling Laws: Predictable relationships between model size, data, compute, and performance.
• In-Context Learning: Model adapts to tasks from examples provided in the prompt, without weight updates.
• Synthetic Data: Artificially generated data used for training or augmentation.
• Mixture of Experts (MoE): Architecture where different subnetworks specialize in different inputs.
• AGI (Artificial General Intelligence): Hypothetical AI matching human-level reasoning across all cognitive domains.
• ASI (Artificial Superintelligence): Theoretical AI surpassing human intelligence in all areas.

How To USE AI TO LEARN ANYTHING FASTER

1. EXPLAIN LIKE I'M 5

Description: Break down tough ideas so even a kid could get it. Perfect for when you're totally lost on a topic.

Prompt Template: "Explain [insert concept or topic] as if you were talking to a 5-year-old child. Use simple language and everyday examples."

2. EXAMPLES AND ANALOGIES

Description: Get real-world examples that make abstract ideas click.

Prompt Template: "Explain [insert concept or topic] using three different real-world examples or analogies that would be easy for a beginner to understand."

3. MOTIVATION

Description: Get tips to keep yourself motivated about learning, even when it gets tough.

Prompt Template: "I'm struggling to stay motivated while learning [insert subject or skill]. Provide me with 5 practical strategies to boost my motivation and maintain consistency in my studies."

4. ROLE-PLAY

Description: Act out scenarios to practice what you've learned.

Prompt Template: "Let's role-play a scenario where I'm [insert role] and you're [insert another role]. We'll practice [insert skill or situation]. Begin the scenario, and I'll respond accordingly."

5. STUDY PLAN

Description: Map out your learning journey from start to finish. Great for tackling big subjects without getting overwhelmed.

Prompt Template: "Create a detailed study plan for learning [insert subject or skill] over the course of [insert time frame]. Include specific goals, resources, and milestones."

6. QUIZ

Description: Create some practice questions to see if you've really got the hang of things.

Prompt Template: "Generate a 10-question quiz on [insert topic], including a mix of multiple-choice, true/false, and short-answer questions. Provide answers and brief explanations for each question."

7. MINDMAP

Description: Sketch out your thoughts to see how everything connects. Really helpful when you're trying to wrap your head around a big topic.

Prompt Template: "Create a detailed mind map for the topic [insert topic]. Include main branches, sub-branches, and key concepts or ideas for each."

8. EXPERT ROUNDTABLE

Description: Simulate a discussion between people who really know their stuff. Great for getting different views on tricky topics.

Prompt Template: "Simulate a roundtable discussion with me and three experts in [insert field] discussing [insert topic or question]. Present their different viewpoints and any potential areas of agreement or disagreement."

9. MENTAL ASSOCIATIONS

Description: Come up with clever memory tricks to help stuff stick in your brain. Useful for remembering lists, facts, or tricky concepts.

Prompt Template: "Help me create mental associations or mnemonic devices to remember key information about [insert topic or concept]."

10. IMPROVE WHAT YOU HAVE

Description: Get feedback and suggestions to make your work even better. Great for polishing up something you've already created.

Prompt Template: "Here's something I've [written/created/produced]: [insert your work]. Please provide specific suggestions to improve it, focusing on [aspect you want to improve, e.g., clarity, structure, persuasiveness]. Explain why each change would make it better."

How To Learn Anything 10x Faster By Natan Mohart

Pareto Principle

Focus on the vital 20% that drives 80% of results.

• Identify the core concepts first
• Ignore "nice-to-know" details early
• Master the fundamentals before going deep

Example: In coding, mastering arrays, strings, and hash maps = 80% of interview problems.

The Feynman Technique

1. Choose a topic you want to understand deeply.
2. Explain it in your own words as if teaching a 12-year-old.
3. Identify gaps in your understanding when you struggle to explain.
4. Review the material to fill those gaps.
5. Simplify and refine your explanation until it's crystal clear.

Active Recall

Instead of passively absorbing information, you strengthen neural connections by forcing your brain to retrieve it.

• Test yourself, don't just reread.
• Explain concepts out loud, without notes.
• Use flashcards to actively engage your memory.

Spaced Repetition

Review information at increasing intervals to lock it into long-term memory.

• Review right before you forget
• Use short sessions (5-10 min)
• Focus on weak points only

Example: Review on Day 1 -> Day 3 -> Day 7 -> Day 21 to make it stick.

5 Harvard Learning Techniques

1. Spaced Repetition -- Review material at spaced intervals to strengthen memory and boost recall speed.
2. Practice Testing -- Use regular self-quizzing to reinforce knowledge and pinpoint weak spots.
3. Teaching Others -- Explain what you've learned to someone else; it helps reveal gaps and deepen your understanding.
4. Active Note-Taking -- Summarize ideas using outlines, diagrams, or concept maps to stay fully engaged.
5. Feedback Loop -- Actively seek feedback, reflect on it, and use it to adjust your approach and improve faster.

How Successful People Take Notes

RICHARD BRANSON

Capture everything

• Always carries something to write on
• Writes ideas the moment they appear
• Revisits notes to turn them into actions

How to apply:

• Keep one tool for all ideas
• Write immediately, don't judge
• Review notes weekly and extract actions

BILL GATES

Structured pages

• Uses a single notebook everywhere
• Splits each page into 4 sections
• 3 sections for ideas, 1 section for questions

How to apply:

• Divide every page into 4 parts
• Develop ideas in 3 sections
• Reserve 1 section only for questions

STEVE JOBS

Visual thinking

• Thinks in diagrams, not lists
• Focuses on relationships between ideas
• Removes anything non-essential

How to apply:

• Replace lists with diagrams
• Use arrows and blocks
• Keep one core idea per page

SAM ALTMAN

Spatial thinking

• Uses separate pages for one problem
• Lays ideas out physically
• Rearranges them until clarity appears

How to apply:

• One idea per page
• Spread pages out on a desk or wall
• Group and reorder visually

ALBERT EINSTEIN

Conceptual notes

• Writes ideas in very short form
• Uses formulas and simple statements
• Writes to test logic, not to store facts

How to apply:

• Reduce ideas to one sentence
• Add a "why does this work?" question
• Delete anything that doesn't clarify

OPRAH WINFREY

Reflective journaling

• Keeps regular personal journals
• Records thoughts and emotions
• Uses writing to process experiences

How to apply:

• Write a few lines daily
• Focus on reactions, not events
• Use notes to recalibrate decisions

AlphaGo - The Movie

With more board configurations than there are atoms in the universe, the ancient Chinese game of Go has long been considered a grand challenge for artificial intelligence.

On March 9, 2016, the worlds of Go and artificial intelligence collided in South Korea for an extraordinary best-of-five-game competition, coined The DeepMind Challenge Match. Hundreds of millions of people around the world watched as a legendary Go master took on an unproven AI challenger for the first time in history.

Directed by Greg Kohs and with an original score by Academy Award nominee Hauschka, AlphaGo had its premiere at the Tribeca Film Festival. It has since gone on to win countless awards and near universal praise for a story that chronicles a journey from the halls of Oxford, through the backstreets of Bordeaux, past the coding terminals of DeepMind in London, and ultimately, to the seven-day tournament in Seoul. As the drama unfolds, more questions emerge: What can artificial intelligence reveal about a 3000-year-old game? What can it teach us about humanity?

24 Questions to Sharpen Your Critical Thinking

By Christian Rebernik

WHO

• WHO benefits from this?
• WHO is affected if this goes wrong?
• WHO is missing from this conversation?
• WHO has solved a similar problem before?

WHAT

• WHAT am I really trying to solve?
• WHAT are the facts, and what are opinions?
• WHAT am I assuming without proof?
• WHAT information is missing?

WHERE

• WHERE is this coming from?
• WHERE will this decision lead?
• WHERE could this create problems?
• WHERE can I find more clarity?

WHEN

• WHEN did this become a problem?
• WHEN does this need to be decided?
• WHEN have I seen this happen before?
• WHEN would be the wrong time to act?

WHY

• WHY does this matter?
• WHY do I believe this is true?
• WHY might others see this differently?
• WHY haven't we solved this already?

HOW

• HOW will I measure success?
• HOW could this go wrong?
• HOW can I test this before committing?
• HOW will I explain this choice to others?

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STARTUP NEWS AND FUNDING

Publication	Type	Frequency	Cost	Best For	Link
Inc42	News + Newsletter	Daily	Free / Paid+	Funding news, sector deep dives, data	inc42.com
YourStory	News + Newsletter	Daily	Free	Founder stories, regional coverage, tier 2 India	yourstory.com
Entrackr	News + Newsletter	Daily	Free / Paid	Funding data, financials, ROC filings	entrackr.com
Indian Startup News	News	Daily	Free	Fast funding and deal news	indianstartupnews.com
StartupTalky	News + Data	Daily	Free	Weekly funding tables, startup profiles	startuptalky.com
VCCircle	News	Daily	Free / Paid	PE, VC, and M&A deal coverage	vccircle.com
TechCircle	News	Daily	Free	Enterprise tech, B2B SaaS, deep tech	techcircle.vccircle.com

DEEP JOURNALISM AND INVESTIGATIVE

Publication	Type	Frequency	Cost	Best For	Link
The Ken	Long-form journalism	Daily	Paid (Rs 999/month)	Best startup analysis in India. Worth every rupee	the-ken.com
The Morning Context	Long-form journalism	Daily	Paid	Deep company profiles, policy, investigation	themorningcontext.com
The Core	Business analysis	Daily	Free	Traditional business, listed companies, macro	thecore.in
Mint	Business news	Daily	Free / Paid	Policy, markets, enterprise startup coverage	livemint.com
Business Standard	Business news	Daily	Free / Paid	Policy, regulatory updates, market intelligence	business-standard.com
Economic Times Startup	News	Daily	Free	Press coverage, broad ecosystem news	economictimes.indiatimes.com/tech/startups
Forbes India	Magazine + Digital	Weekly	Free / Paid	Lists, profiles, business leadership	forbesindia.com
Business Today	Magazine + Digital	Weekly	Free / Paid	SME and startup coverage, rankings	businesstoday.in
Outlook Business	Magazine + Digital	Weekly	Free / Paid	Business leadership, startup profiles	outlookbusiness.com
ET Prime	Newsletter	Daily	Paid	Deep analysis, investor views, macro	economictimes.indiatimes.com/prime

FINANCE AND MARKETS IN PLAIN LANGUAGE

Publication	Type	Frequency	Cost	Best For	Link
Finshots	Newsletter	3x/week	Free	Finance and business in plain English. Best for non-finance founders	finshots.in
Moneycontrol Pro	Newsletter + News	Daily	Free / Paid	Markets, investing, business news	moneycontrol.com
1% Club Newsletter	Newsletter	Weekly	Free	Personal finance, wealth building, investing basics	onepercentclub.io
Zerodha Varsity	Educational	Evergreen	Free	The best free finance education in India. Not a newsletter but essential	zerodha.com/varsity
PrimeInvestor	Newsletter	Weekly	Paid	Stock and mutual fund research, portfolio advice	primeinvestor.in

VC AND INVESTOR PERSPECTIVES

Publication	Type	Frequency	Cost	Best For	Link
AJVC by Aviral Bhatnagar	Newsletter	Fortnightly Sunday	Free	Best Indian VC writing. Business model deep dives, investor thinking	ajuniorvc.com
Blume Vantage Point	Newsletter + Research	Monthly	Free	Macro ecosystem research, micro VC reports, sector analysis	blume.vc/commentaries
3one4 Capital Blog	Blog	Irregular	Free	Data-driven takes on Indian startup investing	3one4.capital/blog
Tracxn Weekly	Newsletter + Data	Weekly	Free / Paid	Funding data, deal flow, sector trends	tracxn.com
Backrr Investor Intel	Newsletter + Database	Monthly	Free	Early stage VC activity, fund database	backrr.com/blog
Kalaari Capital Blog	Blog	Irregular	Free	Consumer and deep tech investing perspective	kalaari.com/blog
Accel SeedToScale	Newsletter + Blog	Monthly	Free	Company building content, operator advice	accel.com/seedtoscale
Peak XV Blog	Blog	Irregular	Free	Macro views, portfolio company insights	peakxv.com/blog

GROWTH, PRODUCT, AND OPERATOR CONTENT

Publication	Type	Frequency	Cost	Best For	Link
Lenny's Newsletter	Newsletter	Weekly	Free / Paid	Product management, growth. Most read among Indian operators	lennysnewsletter.com
GrowthX	Newsletter + Community	Weekly	Free / Paid	Growth case studies from Indian founders and operators	growthx.club
SaasBoomi Newsletter	Newsletter	Monthly	Free	B2B SaaS go-to-market, pricing, enterprise sales	saasboomi.com
Product Folks	Newsletter + Community	Weekly	Free	Product management, Indian PM community	productfolks.in
Reforge	Course + Newsletter	Weekly	Paid	Most rigorous growth curriculum available anywhere	reforge.com
iSPIRT Blog	Blog	Irregular	Free	Indian software product industry insights, policy	ispirt.in/blog

D2C AND CONSUMER BRAND

Publication	Type	Frequency	Cost	Best For	Link
D2C Insider Newsletter	Newsletter	Weekly	Free	Indian D2C trends, brand building, performance marketing	d2cinsider.com
Inc42 D2C Newsletter	Newsletter	Weekly	Free	D2C funding, brand profiles, sector data	inc42.com/newsletter
Redseer Reports	Research	Monthly	Free	India consumer internet, D2C market sizing	redseer.com

STRATEGY AND MACRO

Publication	Type	Frequency	Cost	Best For	Link
Stratechery by Ben Thompson	Newsletter	Daily	Free / Paid	Best technology strategy writing anywhere. Heavy Indian following	stratechery.com
The Generalist	Newsletter	Weekly	Free / Paid	Deep dives on tech companies and startup strategy	thegeneralist.substack.com
Tigerfeathers	Newsletter	Irregular	Free	Best long-form Indian business strategy writing	tigerfeathers.in
Acquired Podcast Newsletter	Newsletter	Monthly	Free	Deep company research. Berkshire, LVMH, Nvidia level analysis	acquired.fm
NASSCOM Community	Newsletter	Weekly	Free	Enterprise tech, IT industry policy, MSME intelligence	community.nasscom.in
Startup India Weekly	Government Newsletter	Weekly	Free	Schemes, funding opportunities, policy updates	startupindia.gov.in

FINTECH AND POLICY

Publication	Type	Frequency	Cost	Best For	Link
RBI Notifications	Regulatory	As published	Free	Every fintech, lending, payments policy change	rbi.org.in
Payments Next	Newsletter	Weekly	Free	UPI, payments infrastructure, fintech policy	paymentsnext.com
MEDICI / Fintech Global	Newsletter	Weekly	Free / Paid	Global fintech intelligence, strong India section	gomedici.com
India Fintech Diaries	Podcast + Newsletter	Biweekly	Free	Indian fintech landscape, founder conversations	Available on Spotify

TECH AND DEEPTECH

Publication	Type	Frequency	Cost	Best For	Link
Analytics India Magazine	News	Daily	Free	AI, ML, data science in India	analyticsindiamag.com
Digit	News	Daily	Free	Consumer tech, how Indian users adopt technology	digit.in
The Signal (by Morning Context)	Newsletter	Weekly	Paid	Tech policy, big tech, platform analysis	themorningcontext.com

PODCASTS

Podcast	Host	Best For	Where to Listen
The Neon Show	Siddhartha Ahluwalia	Founder and investor conversations, mindset for scaling	Spotify, Apple
Founders Unfiltered	Aviral Bhatnagar / AJVC	Unscripted Indian founder stories, building process	Spotify, YouTube
First Principles	Rohin Dharmakumar (The Ken)	India's best founders and business leaders in depth	Spotify, Apple
Prime Venture Partners Podcast	Shripati Acharya	Early stage investing, founder conversations	Spotify, Apple
The Desi VC	Akash Bhat	India-US startup ecosystem, VC conversations	Spotify, Apple
Forbes India Startup Fridays	Harichandan Arakali	Founders, investors, tech ecosystem	Spotify, Apple
Figuring Out by Raj Shamani	Raj Shamani	Business, entrepreneurship, personal growth. Huge Indian following	YouTube, Spotify
Nikhil Kamath Podcast	Nikhil Kamath	Business, investing, Indian entrepreneurs. Very large audience	YouTube, Spotify
Seed to Scale by Accel	Accel India	Company building, operator advice from Accel portfolio	Spotify, Apple
The Seen and the Unseen	Amit Varma	India's best podcast on economics, policy, ideas. Not startup-specific but essential	Spotify, Apple
My First Million	Sam Parr and Shaan Puri	Business ideas, startup opportunities. Heavy Indian founder following	Spotify, Apple
Acquisition.com Podcast	Alex Hormozi	Business building, scaling. Very widely consumed by Indian operators	YouTube, Spotify

X (TWITTER) ACCOUNTS TO FOLLOW

Indian founders, investors, and operators who consistently share useful content.

Handle	Who They Are	Why Follow
u/aviralbhat	Aviral Bhatnagar, AJVC	Best startup analysis from an Indian investor perspective
u/blume_ventures	Blume Ventures	Fund perspective, ecosystem commentary
u/Nithin0dha	Nithin Kamath, Zerodha	Building in public, honest operator views
u/kunal0shah	Kunal Shah, CRED	Business frameworks, Indian consumer insights
u/sridhar_vembu	Sridhar Vembu, Zoho	Bootstrapping, building without VC, India-first thinking
u/GirishM	Girish Mathrubootham, Freshworks	SaaS, global from India, founder lessons
u/bhash	Bhavin Turakhia	Deep product thinking, scaling globally from India
u/AnkurWarikoo	Ankur Warikoo	Personal finance, entrepreneurship, large Indian audience
u/pranavpac	Pranav Pai, 3one4	Data-driven startup investing, ecosystem analysis
u/AbhishekGoyal	Abhishek Goyal, Tracxn	Funding data, startup ecosystem intelligence
u/harshilmathur	Harshil Mathur, Razorpay	Fintech, payments infrastructure, building at scale
u/zerodha	Zerodha	Finance, investing, building a capital markets business
u/raosoumya	Soumya Rao, various	Operator perspectives, women in tech
u/pearlago	Pearl Agarwal, Eximius	Pre-seed investing, early stage ecosystem
u/vaibhav_d	Vaibhav Domkundwar, Better Capital	Early stage investing, founder empathy

What is missing from this list? Drop it in the comments. 👇

Looking to talk to developers and freelancers in Mexico to understand the tools they use to get payments and banking.

Doing a visit to Nigeria soon, and would love to connect with freight companies who hand more than 250k usd

Looking for freelancer from Bangladesh- developers designers marketing ppl

I have had this conversation too many times.

Founder asks me how to raise money. I ask if they have applied for any government grants. They look at me like I said something weird.

Most founders know Startup India exists. Maybe they have heard of DPIIT recognition. That is about it.

What they do not know is that there is over Rs 12,000 crore in non-dilutive funding available for early stage Indian startups right now. No equity. No pitch deck. No investor meeting.

Just apply.

Here is everything I have found, verified as of April 2026.

BEFORE ANYTHING ELSE - GET THIS DONE FIRST

DPIIT Startup Recognition Almost every scheme below requires this. It is free, takes a few days, and without it you cannot access most of what follows. Do not skip this step. Apply here: startupindia.gov.in

CENTRAL GOVERNMENT SCHEMES

1. Startup India Seed Fund Scheme (SISFS) This is the one most early stage founders should start with. Up to Rs 20 lakh grant for proof of concept, prototype, or product trials. Up to Rs 50 lakh in convertible debt for commercialisation. If you have a working prototype and no revenue yet, this was made for you. Apply here: seedfund.startupindia.gov.in

2. Startup India Fund of Funds 2.0 Just approved in February 2026. Rs 10,000 crore corpus focused on deep tech, innovative manufacturing, and early growth stage startups. This does not go directly to you. It flows through VC funds. But it means more early stage capital is entering the ecosystem right now than at any point before. Read more: pmindia.gov.in

3. SAMRIDH Scheme - MeitY For software product startups. Matching funding up to Rs 40 lakh if you have been selected by a top tier accelerator. Also comes with mentorship and market access support which is honestly more valuable than the money for most founders at this stage. Apply here: samridh.meity.gov.in

4. TIDE 2.0 - Ministry of Electronics and IT If you are building in hardware, robotics, or IoT this is the one. Grant support specifically for those sectors which most general schemes ignore completely. Apply here: tide.meity.gov.in

5. Atal Innovation Mission Managed by NITI Aayog. Grants for early stage innovators in deep tech, AI, and emerging sectors. Particularly good for first-time founders and student entrepreneurs who do not have an existing track record. Apply here: aim.gov.in

6. BIRAC BIG Grant Up to Rs 1 crore for biotech and healthtech startups. Non-dilutive. If you are building anything in life sciences, diagnostics, or healthcare and you have not applied for this, stop reading and go apply right now. Apply here: birac.nic.in

7. iDEX DISC Up to Rs 1.5 crore. The largest government grant available to Indian startups. For defence and aerospace. Niche, but if you are in this space it is completely underused by founders. Apply here: idex.gov.in

8. MeitY GENESIS Up to Rs 1 crore for deep tech founders working in AI, quantum computing, and semiconductor design. Relatively new and very few founders know about it. Apply here: genesis.meity.gov.in

9. Credit Guarantee Scheme for Startups (CGSS) Not a grant. A loan guarantee. 85% cover on loans up to Rs 10 crore, 75% cover on loans between Rs 10 and Rs 20 crore. Zero collateral. If you need debt and do not want to pledge personal assets this is worth knowing. Apply here: ncgtc.in

10. PM Mudra Yojana - TarunPlus New category added in 2026. Loans between Rs 10 lakh and Rs 20 lakh. Zero collateral. 0.50% processing fee. For micro and small businesses at very early stage. Not glamorous but genuinely useful if you just need working capital. Apply here: mudra.org.in

11. Stand Up India Specifically for women founders and SC/ST founders. Collateral-free loans between Rs 10 lakh and Rs 1 crore. Severely underused. Apply here: standupmitra.in

12. Women Entrepreneurship Platform - WEP NITI Aayog initiative. Mentoring, networking, funding access, and training for women-led startups. Less about money, more about ecosystem access which is often harder to find than the money itself. Apply here: wep.gov.in

STATE SCHEMES - DO NOT IGNORE THESE

Karnataka - Elevate Program Up to Rs 50 lakh per startup. If you are building in Bangalore this is one of the best programs available to you and most founders have never heard of it. Apply here: startup.karnataka.gov.in

Maharashtra - MSInS Seed Fund Early stage grants plus access to a Rs 500 crore Maha-Fund for later stage startups. Apply here: msins.in

Tamil Nadu - TANSEED Up to Rs 15 lakh for early stage startups. Apply here: startuptn.in

Telangana - T-SEED Rs 250 crore corpus. One of the more active state programs. Apply here: tsic.telangana.gov.in

Uttar Pradesh Seed capital plus a Rs 1,000 crore fund of funds. Genuinely surprising how much UP has invested in its startup ecosystem recently. Apply here: startup.up.gov.in

Gujarat - SSIP 2.0 Specifically for student founders. If you are in college and building something in Gujarat this was made for you. Apply here: ssip.uiet.edu.in

SECTOR SPECIFIC ONES WORTH KNOWING

Agritech founders: drone-based agricultural subsidies and cold-chain logistics subsidies are available but almost nobody in the startup ecosystem talks about them.

Spacetech founders: IN-SPACE scheme and ANIC are your starting points.

Deep tech founders: GENESIS for AI, quantum computing, and semiconductor design.

HOW TO APPROACH THIS

Do not try to apply for everything at once. Pick the one that matches your current stage and sector. Get your DPIIT recognition done first. Then prepare your business plan properly before applying.

The founders who get rejected are usually the ones who apply carelessly. The ones who get funded treat it like an investor pitch. Same rigour, different audience.

Have you applied for any of these? Did it work? Did you get rejected? Drop your experience below. This thread will be more useful with real stories from real founders. 👇

— u/harshamv

Founding Moderator, r/AllIndiaStartups

Planning my first trip to Lagos and want to skip the tourist stuff. Looking for the actual spots: best vegetarian restaurants, hidden gems, what people actually do when they’re not working.

If you are from or you’ve been to Lagos, drop your must-dos. The restaurants you’d take your parents to. Neighborhoods where things actually happen.

Also, if you’re building in AI, crypto, gaming, fintech, or marketing, let’s connect. Been in the startup world for over a decade now and looking to link up with founders, builders, and marketing people who know what they’re doing. Would love to Connect on LinkedIn.