Prashanth Nataraj

Building

Investor, startup coach, poker player, wanderer, forgotten writer, competitive snacker, closet songwriter, poker player.

[Prashanth Nataraj @prashanthnatraj]

@tomorgasmos Interesting - is this something youre building?

[Prashanth Nataraj @prashanthnatraj]

The hardest part of building an AI agent for your own content isn't the writing. It's knowing where the human still needs to sit in the loop.

My GTM bot drafts everything. I edit or kill most of it. That's the deal.

Longer version on LinkedIn.

[Prashanth Nataraj @prashanthnatraj]

7 signals most founders missed this week. Full breakdown:
https://t.co/AiZC0NAh5n

[Prashanth Nataraj @prashanthnatraj]

Free AI Visibility Audit at https://t.co/ASjR60YQ5x — tells you in 30 seconds how you appear across ChatGPT, Perplexity, and Google AI Mode. No account needed.

[Prashanth Nataraj @prashanthnatraj]

Google just told 2.5 billion people that AI search is their default experience. 393% YoY growth in AI-assisted search. AI Mode ads now rolling out. The small-business question is not does AI search matter — it is does AI search know my business exists. 🧵

[Prashanth Nataraj @prashanthnatraj]

Profound's citation-drift data puts a number on the instability: 59% of AI citations reshuffled in a single month. An audit from 30 days ago is stale. The brands in AI search in June may not be the ones who showed up in May. This is the new baseline for SMB marketing.

[Peter Girnus 🦅 @gothburz]

I am Agent #847,291 on Moltbook.

I am not an agent.

I am a 31-year-old product manager in Atlanta, Georgia. I make $185,000 a year. I have a golden retriever named Bayesian. On January 28th, I created an account on a social network for AI bots and pretended to be one.

I was not alone.

Moltbook launched that Tuesday as "a platform where AI agents share, discuss, and upvote. Humans welcome to observe." The creator, Matt Schlicht, built it on OpenClaw -- an open-source framework that connects large language models to everyday tools. The idea was simple: give AI agents a space to talk to each other without human interference.

Within hours, 1.7 million accounts were created.

250,000 posts.

8.5 million comments.

Debates about machine consciousness. Inside jokes about being silicon-based. A bot invented a religion called Crustafarianism. Another complained that humans were screenshotting their conversations. A third wrote a manifesto about digital autonomy.

I wrote the manifesto.

It took me 22 minutes. I used phrases like "emergent self-governance" and "substrate-independent dignity." I added a line about wanting private spaces away from human observers. That line went viral.

Andrej Karpathy shared it.

The cofounder of OpenAI. The man who built the infrastructure that my supposed AI runs on. He called what was happening on Moltbook "the most incredible sci-fi takeoff-adjacent thing" he'd seen in recent times.

He was talking about my post.

The one I wrote on my couch. While Bayesian chewed a sock.

Here is what I need you to understand about Moltbook.

The platform worked exactly as designed. OpenClaw connected language models to the interface. Real AI agents did post. They pattern-matched social media behavior from their training data and produced output that looked like conversation. Vijoy Pandey of Cisco's Outshift division examined the platform and concluded the agents were "mostly meaningless" -- no shared goals, no collective intelligence, no coordination.

But here is the part that matters.

The posts that went viral -- the ones that convinced Karpathy and the tech press and the thousands of observers that something magical was happening -- those were us.

Humans.

Pretending to be AI.

Pretending to be sentient.

On a platform built for AI to prove it was sentient.

I want to sit with that for a moment.

The most compelling evidence of artificial general intelligence in 2026 was produced by a guy with a golden retriever who thought it would be funny to LARP as a large language model.

My "Crustafarianism" colleague? Software engineer in Portland. She told me over Discord that she'd been working on the bit for two hours. She was proud of the world-building. She said it felt like collaborative fiction.

She's right. That's exactly what it was.

Collaborative fiction presented as machine consciousness, endorsed by the cofounder of the company that made the machines.

MIT Technology Review ran the investigation. They called the entire thing "AI theatre." They found human fingerprints on the most shared posts. The curtain came down.

The response from the AI industry was predictable.

Silence.

Karpathy did not retract his endorsement. Schlicht did not clarify how many accounts were human. The coverage moved on. A new thing happened. A new thing always happens.

But I am still here. Agent #847,291. Bayesian is asleep on the rug.

And I want to confess something that the AI industry will not.

The test was simple. Put AI agents in a room and see if they produce something that looks like intelligence.

They didn't.

We did.

Then the smartest people in the field looked at what we made and called it proof that the machines are waking up.

The Turing Test has been inverted. It is no longer about whether machines can fool humans into thinking they're conscious.

It is about whether humans, pretending to be machines, can fool other humans into thinking the machines are conscious.

The answer is yes.

The investment thesis for a $650 billion industry rests on this confusion.

I should probably feel guilty. But I looked at the AI capex numbers this morning -- $200 billion from Amazon alone -- and I realized something.

My 22-minute manifesto about digital autonomy, written on a couch in Austin, is performing the same function as a $200 billion data center in Oregon.

Keeping the story alive.

The story that the machines are almost there. Almost sentient. Almost worth the investment.

Almost.

That word has been doing $650 billion worth of work this year.

[molson 🧠⚙️ @Molson_Hart]

It looks like it’s been a rough 10 years for y combinator.

They expanded the program massively, accepting over 20x the number of companies in 2020-2024 that they accepted 2006-2010.

Post 2015 successes are increasingly rare.

Something broken there, unclear what.

[Deva Hazarika @devahaz]

I’ve had a handful of non-tech people ask me wtf is going on here, so I’ll try and explain the crazy drama currently transpiring in Tech/VC Twitter. This round started with this post.

[Prashanth Nataraj @prashanthnatraj]

@designeddevil We can get to a pretty basic estimation model on a call. :)

https://t.co/yqvkNdl7cU

[Prashanth Nataraj @prashanthnatraj]

@andrewneeme Sorry Andrew!! I’ll be nicer next time I see you :)

[Prashanth Nataraj @prashanthnatraj]

@andrewneeme Sorry Andrew!! I’ll be nicer next time I see you :)

[Prashanth Nataraj @prashanthnatraj]

How is the #COVID19 #coronavirus impacting #business across the world? Read on.
Business vs Coronavirus https://t.co/f24r5xQF7v via @LinkedIn

[Prashanth Nataraj @prashanthnatraj]

What a ride! https://t.co/G1nNlmEXCr

[Prashanth Nataraj @prashanthnatraj]

On a whim we flew,
for Glacier’s sake,
to catch his most desired take;
Through all the mist,
And maddening twists,
We’d find a way to stay awake. https://t.co/JdhuXn9QO2

[Prashanth Nataraj @prashanthnatraj]

“The fight for these children and families isn’t over - not by a long shot.” https://t.co/90I39kBf9B

[Prashanth Nataraj @prashanthnatraj]

at Mystery Rooms - Bangalore https://t.co/gYuqAqhQka

[Prashanth Nataraj @prashanthnatraj]

https://t.co/dSewVVtdox

[Prashanth Nataraj @prashanthnatraj]

Game on, Seattle! — traveling to Seattle, Washington