Fifty 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 timestamped straight into YouTube.
Seven clips on who to sell to, how the sale really 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 walks the enterprise sale end to end: finding the wedge, surviving the multi-stakeholder room, landing the anchor logo, selling where no budget line exists, and replacing the cold call with a content engine.

Prasanna's $10K-vs-$1M budget math: the buyer you pick, not the work you do, sets your price.

Indian buyers pay for growth, not savings — the frame that reorders your entire pitch.

Your rival isn't another vendor, it's Excel plus WhatsApp — a masterclass in finding the ops wedge.

How one Shopify deal answers four executives at once — CMO, e-commerce head, store boss, CFO.

AEREO's anchor-customer playbook — a no-cost proof of concept audited so procurement can't say no.

ACVISS sells anti-counterfeiting with no budget holder on the org chart — every sale is an education.

Offineeds replaced the cold call with a WhatsApp show — content as the sales cycle, compounding for years.
From mapping the 1,500 funds to choosing the one whose money you can live with
A first raise fails on process more often than on product. This sequence maps the capital landscape you can't see, shows what actually happens to your deck inside a fund, hands you the diligence checklist investors run on retention, then turns the lens around: how much to raise, how to read a fast no, and why whoever funds you ends up owning your calendar.

The arithmetic of the funds you've never heard of — and why warm-intro culture hides most of the market.

Treat a fund's thesis as a queryable schema — stage, cheque, sector — and stop pitching mismatches.

Inside 100X.VC there is no analyst layer — five partners read everything. Write for that room.

The exact retention checklist Anand Lunia runs — in the order he runs it. Pre-empt it in your deck.

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

Raising $10M to build a $10M business traps you — Upekkha's case for low-capital optionality.

PeerCapital on why the honest no is the highest-quality thing a VC gives you — and how to extract it.

The bluntest line in the catalogue on capital and accountability. Hear it before you sign.
Mental models first, plumbing second, use cases that pay for themselves third
Skip the demos. This route gives you the two cleanest mental models in the catalogue — Walmart's spinal-cord frame and Jim Keller's two kinds of computers — then gets practical: why data infrastructure precedes plant infrastructure, what deep reinforcement learning does on a real factory floor, when RAG beats fine-tuning in a regulated shop, and how an organisation has to invert its knowledge pyramid to absorb any of it.

Walmart's one-phrase distinction between efficiency AI and generative AI — sort every project with it.

Keller's thesis: AI computers and deterministic computers split the world. Know which one you're buying.

Bert Labs' paper-mill argument: an equipment overhaul doesn't junk your models — parameters persist.

State space, rewards, soft sensors, 4,000 IO points a second — industrial AI without the hand-waving.

Argued from auditability and defensibility, not benchmarks — the version your risk team will accept.

At Bosch the fresh BTech onboards the 20-year veteran — the org design that makes AI adoption stick.

CitiusTech on clinical AI that returns doctors their evenings — pick use cases that pay in time.
Market maps, unit economics, and distribution that doesn't burn
Replace the lazy 1.4-billion-consumers slide. Start with Fireside's 5/25/70 cohort map and Shopify's three eras of Indian e-commerce, then get into the spreadsheet: a real D2C unit-economics walkthrough, why D2C is the lab and offline the factory, how to pick a category by reading P&Ls, and two distribution models — the community partner and the Gen-Z savings hook — that acquire trust instead of buying clicks.

Fireside's 5/25/70 map — the slide that should replace 'India has 1.4 billion consumers' forever.

A crisp periodisation of Indian e-commerce — locate your brand on the curve before you plan.

₹1,000 AOV, 70% margin, ₹400–500 CAC: the first order barely breaks even. The math your deck is missing.

D2C is where brands learn; dark stores and kirana are where they compound. Plan both from day one.

TagZ ranked four want-categories by market structure before choosing snacks — founder-market fit by spreadsheet.

A neighbour who knows thirty households by name is the cheapest trust — Otipy's answer to CAC.

India spends $2.6B on mobile games while under 5% invest — the behaviour gap Fello builds on.
Impact bonds, policy floors and enterprise contracts that survive contact
For the funder, CSR head or impact investor who wants the machinery, not the brochure. The cleanest plain-English walkthrough of development-impact-bond plumbing anywhere in the catalogue, the delivery side's honest account of what outcomes money changes (financing, not pedagogy), a sharper frame for welfare floors, and two ground-level reality checks — a civic startup turning goodwill into a 96-hour SLA, and the 36% interest rate that defines rural credit.

Abha's origin logic: if the impact report can't change the program, change the financing.

DIB plumbing in plain English: who fronts the cash, who verifies learning, who earns the return.

Gyan Shala's design axiom — build the school around the teacher you actually have, not the one you wish for.

The delivery seat's truth: outcomes money changed accountability, not the classroom. Fund accordingly.

Transfer payments reframed as structural floors — the macro lens for every welfare debate you'll have.

PotHoleRaja turned CSR goodwill into an enterprise contract — what impact-to-revenue actually looks like.

Where credit meets ground reality: lease farming is Indian agriculture's structural debt.
Build order, hardware GTM, regulation shocks and capital that survives the gap
Hardware punishes the software playbook. This route sets the build order (IP before prototype), the market frame (Indian deep tech will not look like marketplaces), and the economics of selling machines (fleets, not units) — then the two shocks nobody plans for: a regulator grounding your whole sector overnight, and the conviction it takes to ignore well-meaning advice from people who built the last generation.

Anscer inverts the build order — file IP first, prototype second. The argument for doing it deliberately.

Market first, talent as the binding constraint — why GMV-trained investors misread your company.

Fleet economics decide payback — Scandron on why hardware GTM is a utilisation story, not a spec sheet.

One marketing gimmick triggered a three-year drone ban — regulation risk is existential, plan for it.

From a Delhi crib session to the Drone Federation of India — how a sector wrote its own rules back.

Rohit ignored the MDs of TI, Qualcomm and Analog Devices and built his own hardware. When to not listen.

Indian deep tech dies of impatient capital, not missing markets — what patient money actually looks like.