A hundred and thirty-five hours of conversation, distilled into six routes. Pick the one that sounds like your week and watch only the minutes that earn it. Every clip is timestamped straight into YouTube.
Nine clips on who to sell to, how the sale actually runs, and what compounds
Most Indian B2B sales advice starts at the pitch deck. This route starts two steps earlier, with the arithmetic of who you sell to and what Indian buyers actually pay for. Then it walks the enterprise sale end to end: the ceiling on an India-only market, the ops wedge, the grind to a first cheque, the multi-stakeholder room, the anchor logo, the category with no budget line, and the content engine that replaced the cold call.

Prasanna walks the $10K versus $1M budget math. The buyer you pick, not the work you do, sets the price.

Indian buyers pay for topline, not efficiency. The frame that reorders an MSME sales pitch.

18 million enterprises, 65,000 real buyers, and why an India-only enterprise plan runs into a ceiling.

The real competitor is Excel plus WhatsApp. A masterclass in finding the hidden-ops wedge.

The end-of-the-runway story behind Tredence's first cheque, and the co-founder who closed it.

One deal, four executives: CMO, e-commerce head, store boss, CFO, each with a different P&L worry.

A no-cost proof of concept audited by a Big Four firm, and the anchor-customer flywheel that followed.

A $1.8 billion category with no line item, and the two-to-six-month gap between an easy POC and real money.

Content replaced the sales cycle. One WhatsApp video became an 800-episode moat.
From whether to raise at all to the terms you will live under
A first raise fails on process more often than on product. This sequence starts with the question most decks skip, whether you need the money at all, then maps the capital you cannot see, shows what happens to your deck inside a fund, and hands you the retention checklist investors run in diligence. It ends where founders get hurt: the valuation your first cheque manufactures, the reserved matters nobody reads out loud, and what it means to have a funder setting your metrics.

Devangshu's charity test, and his flat claim that most businesses do not need outside money to start.

A first cheque into peer-to-peer lending nobody would touch, and why the money is a quarter of the job.

The arithmetic the episode hangs on: the 1,450 funds you have never heard of include your likeliest fit.

What actually happens to your deck at 100X.VC. No analyst layer, five partners reading everything.

The exact retention checklist Anand runs in diligence, in the order he runs it.

The anti-dollar argument: a rupee budget that buys a real product instead of a runway myth.

How an early cheque at a ₹10 crore valuation manufactures a ₹300 crore number, and the test he applies instead.

Why value destruction stays off the record, and the 0.5x-beats-zero test for reading an investor's intent.

Anand's bluntest line on capital and accountability. Your funder ends up setting your metrics.
Frames first, then build or buy, then the deployments that pay for themselves
Skip the demos. This route opens with the two frames worth carrying into a budget meeting, Ascendion's water-wheel analogy and Walmart's spinal-cord split, then gets practical: when the problem is not an LLM problem at all, what a retailer can and cannot build in a week, and why data rails come before plant capex. Two working deployments follow, one on an assembly line and one inside a live support team, and it closes on auditability and the org design that lets any of it stick.

The analogy at the centre of the episode, and the warning right after it: waiting five years is the riskiest call on the table.

The cleanest one-phrase split between efficiency AI and generative AI. Sort every project with it.

Anomaly detection and forecasting versus generative AI, where LLMs earn their place, and whether the GPU tax is worth paying.

Anybody can build a POS in a week, so the defence has to be everything that happens after the transaction.

An equipment overhaul does not junk your models. Parameters persist, values change, so lay the data rails first.

Shift-level multilingual records, step 14 of 200, and 95%-plus false positives replaced by flags worth reading.

Inside Scaler: 10% random sampling by twenty people replaced by hundred-rule coverage and two-minute flags.

RAG over fine-tuning, argued from auditability and defensibility rather than benchmarks.

Why the fresh BTech hire onboards the 20-year veteran, and how domain depth survives the new paradigm.
Market maps, the numbers under the first order, and distribution that does not burn
Replace the 1.4-billion-consumers slide. Start with Fireside's 5/25/70 cohort map, then two correctives on where Indians actually buy: the modern-trade forecast that slipped twenty years, and the six per cent of sales that happen online against the hundred per cent researched on a phone. From there it is the spreadsheet under the first order, the honest state of paid growth, and four routes to a shelf that do not run on bought clicks.

The 5/25/70 cohort map that replaces the lazy 1.4-billion-consumers slide.

The forecast everyone repeated in 2006, why it slipped twenty years, and the herd theory that explains the miss.

General trade still wins the transaction. Every category has already lost the research to a phone.

₹1,000 AOV, 70% margin, ₹400-500 CAC. The first order barely breaks even, the second one is the business.

Paid channels and ROAS without the jargon, plus the number nobody advertises: returns have roughly halved.

D2C is where brands learn. Dark stores and kirana are where they compound.

The offline-first argument in full: no marketing spend, borrowed retailer trust, and cash flow that later buys the ads.

Shelf placement is not off-take. The ten-store discipline, and why retailer trust cannot be bought quickly.

A neighbour who knows thirty households by name is the cheapest trust and distribution layer going.
Instruments, capital ladders and the numbers a funder should ask for
For the funder, CSR head or impact investor who wants the machinery rather than the brochure. It opens with why the financing has to change when the impact report cannot, then works through the instruments: the plumbing of a development impact bond, the delivery side's account of what outcomes money did and did not change, where government money should stop and finance should start, the grant-to-debt-to-equity ladder for businesses no fund is built for, and what $30 million of catalytic capital actually bought.

Abha's origin logic: if the impact report cannot change the programme, change the finance so data steers money in real time.

The capital thesis stated plainly, plus the reminder that IISc and TIFR were philanthropy-funded before independence.

DIB plumbing in plain English: who fronts the cash, who validates the learning, and why the return is capped at 8%.

Delivery-side truth. Outcomes money changed accountability, not the classroom. Fund accordingly.

A public-school believer argues the split: government money to government schools, finance to the rest.

Three employees, a ₹7.5 lakh requirement, and one branch officer weighing collateral. Where small-business credit breaks.

Karst's capital ladder for businesses nobody's fund is built for, and the case for pooling CSR money.

The leverage claim, the 150,000 clients, and the honest admission that these numbers are still small.

How a civic fixer turned CSR goodwill into an enterprise contract with a hard SLA.
Build order, non-dilutive money, hardware GTM and the regulator you did not plan for
Hardware punishes the software playbook. This route sets the build order, IP before prototype, then hands you the diligence frame an investor will actually run and the non-dilutive route to a first working unit. Next comes the unglamorous middle: six months riding delivery vans before writing code, the four things a first-time OEM refuses to outsource, and why machines sell as fleets rather than units. It ends with a regulator grounding a whole sector, the founders who wrote the rules back, and what patient capital looks like now.

Raghu inverts the build order. File the IP first, prototype second, and the argument the episode rests on.

The diligence frame in three minutes: what you know that others do not, why now, IP white space, and the margin.

Validate with customers, take non-dilutive iDEX money to build the prototype, then survive 40 to 50 investor meetings.

Riding Tata Ace deliveries through peak COVID before spending a rupee on tech, and the segment maths that ruled two-wheelers out.

Frugality as survival, the four things Orxa keeps in house, and why the cell is the last component India will localise.

Fleet economics decide payback. Multiple flights an hour from land the operator already controls.

How one marketing gimmick triggered a three-year ban, and what cockroach-mode survival looked like.

From a Delhi crib session to the Drone Federation of India: the take-ownership playbook for educating bureaucrats.

Rising median rounds, family offices funding what VCs will not yet, and a fund partner alone on campus in 2021.