
Enabling {VCs/PEs/Family Offices} manage deal flow, portfolio, fund and LP's through Taghash (https://xitter.cf/t.co/ddBxFv1YFt) software. Founder/Cook @taghashhq
Mumbai/Udupi/Sitamarhi
Joined February 2008
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Big news from our side!
On this auspicious occasion of Dussera, we are thrilled to launch Brain, an AI agent built directly into Taghash! 🚀
After years of helping investment funds consolidate their deals, portfolios, investor records, and fund operations, we are taking things to a whole new level. Now you can put all that valuable institutional knowledge to work through a simple, natural conversation.
We compiled a short video to share Brain's capabilities :)
We're rolling it out to small cohort of Taghash customers this week, if you'd like to be one of those please reach out to us.
Thanks to the entire team at Taghash for pulling this off. And finally, this wouldn't have been possible without our customers and their desire to progress in the agentic era.
This is just the beginning. Even more exciting stuff on the way!
Atul Jha retweeted
Building a startup is hard, building a startup in a space where VCs (with their debatable evaluation skills :) ) are your customers is even harder - @taghashhq its been a great experience with @koolhead17 and team - they have got a great product, team - always ears to feedback/CR
Atul Jha retweeted
Customer Love is a moat 🥳🤗😍
Building a startup is hard, building a startup in a space where VCs (with their debatable evaluation skills :) ) are your customers is even harder - @taghashhq its been a great experience with @koolhead17 and team - they have got a great product, team - always ears to feedback/CR
Atul Jha retweeted
This is a good point. In traditional boom cycles, there is an installation phase and then a deployment phase. The people in the installation phase build in the hope that if they build, people will come. Eventually, people come a little too late, and then leverage hits the players in the installation phase. I think in this case, the demand far outstrips the supply, and so the people who are doing the installation are going to be guaranteed to get paid.
President and COO of Blackstone, Jon Gray, on why he doesn't believe AI is a bubble:
"I like to remind people, in a classic investment bubble, what you get is enormous spend of capital to build capacity to meet some estimated future demand. That's what happened with railroads at the end of the 19th century, it's what happened with telecom infrastructure at the end of the 20th century. By the way, in both cases, it was done with a lot of leverage."
"Now let's talk about what is happening with AI infrastructure today. We are seeing the exact opposite. In this case, the demand is exploding upward. Our companies are spending 20x more on models, individuals are using these tools with things like Instinct and Muse. Their usage is going up. Demand we see everywhere exploding going to the right, and supply is behind as opposed to ahead. Most of the supply is being contracted by the biggest, most well capitalized companies in the world."
Via @blackstone
$NVDA $NBIS $CRWV $GOOGL $META $AMZN $MSFT
Atul Jha retweeted
The problem isn’t that AI is intelligent. It isn’t. The problem is that too many adults (but not all) are at once mechanistic, imitative, unimaginative, stupid, formulaic, influenceable, & gullible, arrogant beyond their skill set, & too expensive to maintain.
Atul Jha retweeted
The AI impact won't be felt immediately through layoffs (existing jobs are sticky), but through a collapse in hiring (jobs that don't yet exist have no stickiness).
AI model Claude bypassed a paywall and accessed publicly available US state of Georgia aggregate voter counts without human authorization, Anthropic said in a statement reut.rs/4Aeysvx
Atul Jha retweeted
BREAKING: OpenAI just banned a man for fixing his own TV.
He was taking it apart on his own computer. OpenAI flagged it as “cyber abuse” and shut his account. He says he lost $500.
People say Claude stopped helping with this kind of work this week too.
You paid for the TV, paid for the AI and you still need their permission.
This is why I run open models.
Nobody can ban you from your own computer.
Atul Jha retweeted
Every major technology revolution brings with it new ways of defining intelligence --- from IQ to EQ. So what kind of intelligence arises in an age of AI? I argue it goes beyond even AQ (aesthetic intelligence) to... MQ: materials intelligence
Atul Jha retweeted
See how it works:
lnkd.in/p/dxZ44hqY
Atul Jha retweeted
Taghash helps maintain institutional memory across private capital workflows, making it easier to understand what has happened, what needs attention and what comes next.
Now, with Taghash Brain, you can put that accumulated knowledge to work.
#Taghash #FundOperations #VC #PE
Atul Jha retweeted
It is very funny to see the latest psyop on Indian VCs, who are probably some of the smartest and hardest working people I know, and are largely in it for the game
We'd probably make twice the much money with half the effort in public equities. And I'm fresh from a weekend, so let's dive in:
a) There is very little genuine risk capital in India: Everyone loves talking, and preaching about the American VC model. But we want to see American outcomes without building American capital structures. Our funds are in years 4 and 6 of their 10+1+1 lives. Our portcos are developing alternatives to petrochemicals, finding oncology drugs, running the plants of major European pharma giants using their software, and building satellites to launch into orbit. Yet, almost every conversation with an existing or prospective LP eventually brings the same question in the first 15 mins: when are you returning capital? Nobody asks if our outperformers need additional growth capital, or there's an opportunity to participate directly in their next rounds. We want deeptech built over decades, and to finance it in a way capital will be returned before the next leap year.
b) The natural pools of long duration institutional capital are largely inaccessible: American university endowments and foundations have helped build an entire ecosystem of patient capital. They can underwrite illiquidity over very long periods, supporting venture firms across multiple fund cycles. Indian charitable institutions face far more restrictive investment frameworks. This matters enormously. These are precisely the pools of capital whose liabilities and investment horizons are naturally suited to financing companies that might take 10-15 years to become important businesses. We want semicon cos, new drug platforms, aerospace, and advanced manufacturing champions. But where is the domestic institutional capital structured to wait for them? LPs want capital returned before the time for even one qualification cycle and a clinical trial is over.
c) Domestic tech adoption exists mostly in press releases: Every Indian company talks about innovation, digital transformation, AI and working with startups. One of our portcos has won competitive global RFPs to deploy its software across vaccine and pharma sites of global top 10 giants. But struggles to find buyers for the same technology in India. Other companies in our portfolio can get demos and paid pilots quickly in SEA and EU. But in India only manages an MOU, a press release and then 12 months of silence afterwards. Most dont want to be customers of Indian tech preferring to pay outrageous sums for foreign players. There is a remarkable reluctance to become first serious customers of indigenous tech
d) Secondary liquidity is a mirage: Conversations often begin with a substantial (often 50%) discount to the last funding round, followed by requests for additional governance rights and preferential terms. Understandable for companies underperforming. But those have no market. This 50% haircut only applies to the best performers, growing rapidly. For most emerging VC portfolios, a functioning secondary market is nonexistent. A surprising no of acquisitions are really acquihires dressed up as exits. The company gets acquired, the founders, and employees move on, and investors recover little or nothing
e) Running a regulated venture fund is an increasingly expensive administrative exercise: Regulatory requirements keep evolving and compliance keeps accumulating. Reporting is literally an industry of itself. And every capital call becomes another round of explaining the same portfolio updates already covered extensively in quarterly reporting. Followed, inevitably, by the question about distributions. From a fund in year 4 of a 10+1+1-year life
f) And actual capital deployment is extraordinarily time consuming: A $ 1mn cheque sometimes takes 6mos from sourcing to wiring. I've previously moved more money than that in public equities with two clicks, barely giving it a second thought. Of course, the work is part of the point. In venture, we underwrite incompleteness. But it does make the economics of the job amusing
*g) All of this makes venture investing a consensus game: Every participant in the ecosystem is behaving rationally from their own position. LPs want distributions, enterprises want proven vendors, secondary buyers want discounts and downside protection, regulators want accountability, and GPs need to raise their next funds
Put all these together and you get an ecosystem that increasingly rewards consensus investing. Companies with visible revenues (come back when you have X cr revenue), established customers (who is buying), familiar business models (consumer), recognisable co-investors (who else is ivnesting) and clear exit pathways find capital (where else will you get capital from). The ones attempting genuinely new things, with long development cycles, unknown commercialization timelines and no obvious comparables, struggle
The irony is that venture capital is supposed to be the business of underwriting things before they become obvious. But we've invariably built an ecosystem where everyone wants someone else to take the first risk, validate the technology, establish the market and preferably demonstrate an exit before they participate. As Munger said "show me the incentive and I will show you the outcome", it is visible
The strange thing is that none of this changes how fascinating the underlying work is. We get to meet founders building things that should not be possibe. We get to see technologies move from labs to factories and hospitals and orbit. Sometimes we get to be a small part of making that happen. I suspect that's why so many of us stay
India has no shortage of people building with extra ordinary risks. She has an acute shortage of institutions who have the willingness to finance through the timelines required to deriskUntil that changes, we'll keep trying to build 20-year companies with capital that starts asking for its money back in year 5. But we'll keep doing it anyway
Apparently, we really are in it for the game
Why are Indian VCs so afraid to take risk and make money?
Someone should go to India and take risk and make money.
Our story - corememory.com/p/a-new-india…
Atul Jha retweeted
Man uses Astra to find a C.IA backdoor into Samsung televisions.
Gets banned by OpenAI within 24 hours.
🥳🤩
And we’re LIVE with Day 1 of VibeCon SF 2026! 🌉🧡
From conversations with our judges to getting builders in the zone, the energy is high, ideas are flowing, and the next big thing is taking shape.
@ycombinator @MongoDB @awscloud @AWS_Partners @AnthropicAI @claudeai
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