Made by Payal Gusain

Edition 001|9th October 2026
Keeping Up with the Capital

Your weekly gossip on who's raising, investing, and building,
from Silicon Valley to India, Inc.

Hello there, stranger! ๐Ÿ‘€

Here for a sip?

Your favourite tea from Sand Hill Road to Koramangala is poured, and this week, everyone's whispering about money that hasn't even landed yet.

This is one of the most fun weeks in venture in a long time. Not because everything is going up. Some things are going down, hard. It's fun because, for the first time in years, the market is about to answer the question everyone's been arguing about over dinner: what is frontier AI actually worth?

Let's get to it.

The Big Sip

Anthropic will put a public price on frontier AI before OpenAI does

Anthropic and OpenAI have taken opposite paths. Anthropic is going public, so everyone gets to see its numbers. OpenAI is staying private and raising money from a small group of investors who agree on a price among themselves.

Anthropic's IPO filing, seen by Reuters, gives us the first real look at a frontier lab's finances. Revenue grew 12x in 2025, to nearly $4.6 billion. But spending grew faster. Anthropic lost $8.06 billion running the business. For every $1 that came in, about $2.75 went out.

It has also promised to spend $518 billion on cloud and computing power over the next ten years. Bloomberg says it could start pitching its IPO to investors as soon as the week of 9 November.

Critics flinched. AI skeptic Ed Zitron, CEO of EZ Primary Research, pointed out on X that Anthropic "spent $12.6bn to make $4.6bn in revenue in 2025", Yahoo Finance reported. I read the numbers differently, like those of any company building infrastructure before demand fully arrives. The spending always comes first. The real question is whether revenue catches up.

OpenAI took the other path. Sam Altman says there will be no IPO in 2026. Instead, OpenAI is reportedly raising at least $30 billion at a $1.4 trillion valuation from private investors.

You'd expect investors to prefer the lab that stays private and keeps marking itself up. But they don't. In September, tech newsletter Newcomer surveyed 25 VCs. Three in four said they'd buy Anthropic shares. Only two in five said the same of OpenAI.

So far, a small group of private investors has set the price of frontier AI. In November, the stock market gets a say. Newcomer called the coming weeks "very instructive in assessing the health of the AI business." Whatever public investors pay for Anthropic becomes the yardstick for OpenAI's $1.4 trillion, whether OpenAI likes it or not.

Connecting the Dots

This week's biggest AI valuation jumps are offers, not closed rounds

A price and a bid are different things. A bid is someone saying "I'd pay this." A price is someone actually paying it. This week brought a lot of very loud bids:

Zoom out, and the money is piling into a few giant deals. Crunchbase counted a record 27 rounds of $1 billion or more from July to September. Together, they took about a third of all the money startups raised worldwide. Indian money is part of it, too. Indian investor Premji Invest co-led a $145 million round in CScale, a US company that makes optical links for AI servers.

But a price only counts once someone can sell at it. PitchBook counted just 18 US IPOs in those same three months. Most of these valuations have only been agreed by the people already in the room. Anthropic is the first to walk out the door and find out what everyone else thinks.

A $30 million-revenue AI startup sold for more than Airtable

Two software deals show how differently buyers now price companies.

Size can't explain the gap, because Airtable is the far bigger company. Salesforce paid for future growth. Bending Spoons paid for today's cash flow. A young AI product is priced on how fast it could grow. An older software company is priced like a mature business that throws off cash, which is exactly what Bending Spoons likes to buy.

For software founders, that's the game now. Revenue sets the floor. The growth story sets the price.

As AI models get cheaper, AI labs and software companies are competing to own the customer

AI has three layers: the models, the apps built on them, and the customers who use them. The big question for the next five years is which layer keeps most of the profit.

Pranav Pai, founding partner at Bengaluru VC firm 3one4 Capital, thinks the AI labs are coming for the top layer: "The most profitable move in artificial intelligence may no longer be selling intelligence." His evidence: Anthropic launched its own design tool, Claude Design, after partnering with Figma. It launched Claude for Legal after featuring legal AI startup Harvey as a customer. And OpenAI now sells its own customer-support agent, after support software company Intercom built its agents on OpenAI's models.

Asset manager State Street Global Advisors sees it the other way. In a September note, it argues that the lead among AI labs changes hands so often that none of them can hold on to it. That leaves more of the profit for the companies using AI. Investor Tomasz Tunguz of Theory Ventures shows the pressure on the labs: the price of using AI models has fallen 41%, while usage rose 50%.

Both sides agree on one thing: owning a model alone is becoming a weak defence. If Pai is right, the safe ground is deep industry knowledge the labs can't see from the outside. If State Street is right, it's owning the customer relationship. Either way, the worst position is a thin product built on top of someone else's model.

India has more riding on this than most. Pai points out that Indian software firms are among the heaviest users of these models. So are the more than 1,900 global capability centres in India. In his view, that shows the labs exactly how their clients work.

India, Inc.

India's largest startup round of Q3 had no VC in it

India's biggest startup round from July to September didn't include a single venture fund.

Electric-scooter maker Simple Energy raised about $180 million. The round was led by the family office of A. Velumani, who founded the diagnostics chain Thyrocare. Another family office and a few angel investors joined.

Indian startups raised just under $3 billion in the quarter, less than in each of the two quarters before. This one round was about 6% of that.

Why would family money step in where VCs stepped back? Time. A VC fund has a deadline: it must return its investors' money within a fixed number of years. A family office has no such deadline. Rishabh Mariwala of Sharrp Ventures put it beautifully: "With a family office, it is a marriage without a divorce date." Building EVs takes a lot of money for a long time, so that patience is worth a lot.

And this isn't a one-off. The number of Indian family offices investing in startups grew from 45 in 2018 to about 300 in 2024, per Outlook Business. As VC money shrinks, Indian founders building capital-heavy companies now have a second, homegrown source of money. That's a big deal.

Indian chip startups are being funded by VCs, corporates and the government together

Agrani Labs builds computer chips and software to run AI in data centres. Four former Intel and AMD engineers founded it in Bengaluru in 2024. In February, it came out of stealth with an $8 million seed round from Peak XV.

Eight months later, it's reportedly raising โ‚น800โ€“850 crore from Samsung, 360 One and Peak XV, the Economic Times reports. That's more than ten times its seed round. It's also applying for โ‚น120โ€“130 crore from the government's Research, Development and Innovation (RDI) scheme.

Chips are hard to fund because companies need years of money before they ship anything. Agrani's answer is to share that load three ways: a VC, a large corporate and the government. It isn't alone. VC firms including Accel, Lightspeed and Bessemer have joined DeepVerse, a 30-member group set up to shape the rules for slow-to-build industries. It also feeds into the same โ‚น1 lakh crore RDI scheme. If Agrani closes its round with the government money attached, other Indian deeptech founders get a template to copy.

Indian IPO investors are paying for scale, not brand: Moneyview soared, Snapdeal's parent sank

Two IPOs, days apart, ended very differently.

Online lender Moneyview raised โ‚น1,092 crore in its IPO. Investors applied for about 100 times the shares on offer. On its first day of trading, the stock opened more than 60% above its IPO price.

Snapdeal's parent company, AceVector, raised โ‚น420 crore. Demand was weaker: investors applied for about five times the shares on offer. Then the stock listed 11.6% below its IPO price and ended its first day 18.4% down. Snapdeal was once valued at $6.5 billion, and it cut its losses sharply last year. But investors still passed.

Inc42's analysis explains why in one comparison. In FY26, about 12 million people bought something on Snapdeal. On Meesho, 264 million did.

The lesson for India's IPO pipeline: a famous name and a smaller loss won't carry you. Scale will. Three more companies are lining up to test that:

The Deal Sheet

  • InstinctSeries C ยท $1B at $10B ยท Sequoia, Benchmark, CoatueA free AI personal assistant you can text or call. Founder Noah Shinn is 23. He left Northeastern University in 2023 to join AI startup Sierra early, then started Instinct last year. He says it's nearing $1 billion in yearly transactions. Its valuation quadrupled in weeks, from $2.5 billion in August.
  • Supabase$150M ยท led by GICAn open-source database and backend that developers build apps on. More than 13 million developers use it. Today, AI agents and tools create 70% of its new databases. It's using part of the money to buy another database startup, Turso.
  • ArmadinSeries B ยท $255.5M at $2.5B+ ยท a16z, AccelAI that attacks a company's systems the way hackers would, so it can find the weak spots first. It's run by Kevin Mandia, who founded cybersecurity firm Mandiant. It has raised $445 million since launching in March and already has Fortune 500 and government customers.
  • Ghost$11M ยท led by a16zMakes Core, a $3,499 computer that runs your personal AI agents at home instead of in the cloud. Founder Zain Javaid is 19. Preorders opened on 5 October, and shipping starts in the last week of October.
  • FYDY$12M first round (in talks) ยท Lightspeed, General CatalystA stealth AI lab building systems that keep learning from experience. It's based in San Francisco, with a team split across India and the US. Its founders include finalists of the ICPC, an international programming contest.

Watchlist

  1. Anthropic's listing price, and what it does to OpenAI's $1.4 trillion.
  2. Whether Kalshi's $40 billion round closes while CNBC's questions about its trading are still open.
  3. Bending Spoons' next shopping trip. In five weeks, it has agreed to buy two companies once valued above $10 billion each.
  4. StockGro's IPO, and whether it lands like Moneyview or like AceVector.

Rabbit Holes

Featured read

Q3 2026 PitchBook-NVCA Venture Monitor: liquidity for VC remains elusive

If you read one thing this weekend, make it this. It's the quarterly scorecard for US venture, and it tells this edition's story in two numbers. AI took a record share of the money invested, more than four in every five dollars. And only 18 companies went public.

+ Sources

That's all for the week. See you at 6 PM IST, next Friday.