The most dangerous man in tech isn’t Elon Musk or Sam Altman.
It’s Parag Agrawal—the ex-Twitter CEO Musk fired.
While everyone was distracted by ChatGPT, Parag was quietly building something bigger.
And now… he’s about to unleash it.
Here’s how he outplayed the entire AI industry: 🧵👇
It’s Parag Agrawal—the ex-Twitter CEO Musk fired.
While everyone was distracted by ChatGPT, Parag was quietly building something bigger.
And now… he’s about to unleash it.
Here’s how he outplayed the entire AI industry: 🧵👇
Parag Agrawal — Stanford PhD, ex-Twitter CTO & CEO.
He built Twitter’s AI engine for 250M users.
Fired by Musk in 2022.
Now? He’s quietly building a new AI empire — backed by top engineers and Silicon Valley investors
He built Twitter’s AI engine for 250M users.
Fired by Musk in 2022.
Now? He’s quietly building a new AI empire — backed by top engineers and Silicon Valley investors
Elon Musk completes his $44B Twitter takeover.
Within hours, security escorts CEO Parag Agrawal out.
No goodbye. No transition. Just gone.
Then Musk posted the now-infamous meme:
Within hours, security escorts CEO Parag Agrawal out.
No goodbye. No transition. Just gone.
Then Musk posted the now-infamous meme:
Agrawal was quietly building something bigger.
He raised hundreds of millions in stealth funding.
Poached top AI researchers from Google, Anthropic, and OpenAI.
And set up shop in Palo Alto under a codename: Project Sahara.
He raised hundreds of millions in stealth funding.
Poached top AI researchers from Google, Anthropic, and OpenAI.
And set up shop in Palo Alto under a codename: Project Sahara.
October 2024: the stealth bubble burst.
A leaked investor deck revealed that Agrawal’s startup was developing a full-stack AI model — faster and more cost-effective than GPT-5.
Early benchmarks claimed 2x performance at half the cost.
And unlike OpenAI, Sahara promised “open weights + enterprise control.”
Within 48 hours, VCs flooded in. Funding shot past $500 million.
The AI war had a new player — and Musk wasn’t laughing anymore.
A leaked investor deck revealed that Agrawal’s startup was developing a full-stack AI model — faster and more cost-effective than GPT-5.
Early benchmarks claimed 2x performance at half the cost.
And unlike OpenAI, Sahara promised “open weights + enterprise control.”
Within 48 hours, VCs flooded in. Funding shot past $500 million.
The AI war had a new player — and Musk wasn’t laughing anymore.
Parag Agrawal, ex-CEO of Twitter, launched Parallel Web Systems in 2024.
Its goal: build the internet’s next layer — designed for AI agents, not humans.
Think of it like TCP/IP for AI: protocols that let agents browse, transact, and interact directly with websites, banks, and each other.
Instead of chatbots, it’s infrastructure — the foundation for an AI-native web.
Would you like me to break this down into a one-line viral hook you can use for social posts?
Its goal: build the internet’s next layer — designed for AI agents, not humans.
Think of it like TCP/IP for AI: protocols that let agents browse, transact, and interact directly with websites, banks, and each other.
Instead of chatbots, it’s infrastructure — the foundation for an AI-native web.
Would you like me to break this down into a one-line viral hook you can use for social posts?
AI systems rely on scraped data sets frozen in time.
Less than 0.1% of the live web is accessible to them in real-time.
And when they try?
Broken APIs. Paywalls. Captchas. Legal landmines.
Agrawal saw the gap: a $3B+ market where AI literally can’t function.
So he built a new web layer designed for agents, not humans.
Less than 0.1% of the live web is accessible to them in real-time.
And when they try?
Broken APIs. Paywalls. Captchas. Legal landmines.
Agrawal saw the gap: a $3B+ market where AI literally can’t function.
So he built a new web layer designed for agents, not humans.
Instead of trying to “fix” broken LLMs…
Agrawal tore up the playbook.
He didn’t train another chatbot.
He built a parallel web — a verified data layer only AI can access.
No hallucinations.
No paywalls.
No captchas.
Just real-time, structured truth.
The result? A system where agents research better than humans.
Agrawal tore up the playbook.
He didn’t train another chatbot.
He built a parallel web — a verified data layer only AI can access.
No hallucinations.
No paywalls.
No captchas.
Just real-time, structured truth.
The result? A system where agents research better than humans.
8 specialized research engines.
Not one model trying to do everything.
• Ultra1x: Results in 60 seconds.
• Ultra8x: Deep 30-minute analysis.
Each engine built for a specific depth and speed.
But the real breakthrough was trust:
Not one model trying to do everything.
• Ultra1x: Results in 60 seconds.
• Ultra8x: Deep 30-minute analysis.
Each engine built for a specific depth and speed.
But the real breakthrough was trust:
Every result includes confidence scores.
Every fact has verifiable citations.
No more hallucinations. No more "maybe this is right."
The benchmarks destroyed the competition:
Every fact has verifiable citations.
No more hallucinations. No more "maybe this is right."
The benchmarks destroyed the competition:
Parallel's accuracy: 58%
GPT-5: 41%
Google: 23%
Anthropic: 7%
A 17-point gap over GPT-5.
Parallel is in a different league...
GPT-5: 41%
Google: 23%
Anthropic: 7%
A 17-point gap over GPT-5.
Parallel is in a different league...
But here’s the beautiful thing…
This isn’t just another startup story.
It’s a comeback.
The man Silicon Valley wrote off…
Built something even bigger than Twitter.
And in the process?
He may have just solved AI’s biggest weakness — turning a $3B problem into a trillion-dollar opportunity.
This isn’t just another startup story.
It’s a comeback.
The man Silicon Valley wrote off…
Built something even bigger than Twitter.
And in the process?
He may have just solved AI’s biggest weakness — turning a $3B problem into a trillion-dollar opportunity.
Thanks for reading.
If you enjoyed this post, follow @Nas_tech_AI for more content on AI and politics.
Appreciate the support.
If you enjoyed this post, follow @Nas_tech_AI for more content on AI and politics.
Appreciate the support.
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