Utsav Agarwal

CTO @SharpeLabs and @Hive_Intel.

Previously Quant @JPMorgan

[Rishabh Narang @0xrishng]

a top quant at a top bank would've needed 1-2 full dev days for this analysis

@Hive_Intel did it in 5 mins while i made tea

it’s black magic

[Utsav Agarwal @utsav_ai]

Will AI revolutionize crypto trading by analyzing social sentiment and blockchain data to predict market movements? Machine learning models are already processing millions of data points to forecast trends with increasing accuracy.

#CryptoAI #MachineLearning #BlockchainAnalyt...

[Utsav Agarwal @utsav_ai]

Will cross-chain AI protocols revolutionize quant trading by letting models seamlessly operate across multiple blockchains? The future of decentralized finance could depend on this interoperability breakthrough. #CrossChain #AITrading #DeFi #Blockchain #QuantTrading

[Utsav Agarwal @utsav_ai]

What if data scientists could tokenize their AI models as NFTs, creating new revenue streams while enabling fractional ownership? This could revolutionize how we fund and share AI innovation in Web3. #AITokenization #Web3 #NFTs #DataScience #AIInnovation

[Utsav Agarwal @utsav_ai]

Will synthetic data become the game-changer for quant models in Web3? AI-generated datasets could revolutionize trading algorithms while keeping sensitive financial data private and secure.

#SyntheticData #QuantTrading #Web3 #AIFinance #DataPrivacy #DeFi

[Utsav Agarwal @utsav_ai]

Layer-2 rollups are revolutionizing blockchain scalability, enabling AI-powered Web3 trading apps to process thousands of transactions per second with minimal fees. The future of high-frequency crypto trading is here! #Layer2 #Blockchain #Web3 #AI #DeFi #Scalability

[Utsav Agarwal @utsav_ai]

AI is revolutionizing DeFi risk management by predicting impermanent loss patterns and identifying liquidation threats before they happen. Smart algorithms are making decentralized finance safer for everyone. #DeFi #AI #RiskManagement #Blockchain #FinTech

[Utsav Agarwal @utsav_ai]

Quantum computing could revolutionize Web3 by making blockchain consensus faster and more secure while supercharging DeFi calculations. The future of decentralized finance might run on quantum speed.

#QuantumComputing #Web3 #Blockchain #DeFi #TechInnovation #CryptoTech

[Sharpe AI @SharpeLabs]

The Hidden Alpha in Volume-to-Market Cap — And How Sharpe Search Unlocked It in One Question

In crypto, there’s no shortage of dashboards. You can stare at prices, TVL charts, whale alerts, and volume spikes all day and still miss the signal. That’s the strange part: despite all the data, most traders still rely on intuition, Twitter, or luck.

But occasionally, there’s a metric that quietly outperforms. One of those metrics is volume-to-market cap ratio.

Why This Ratio Matters

Price is the headline. But volume-to-market cap is often the story beneath it. A high ratio means a token is trading at a volume disproportionate to its size, a small market cap with massive activity. Sometimes this means a breakout is coming. Sometimes it means volatility. Either way, it's signal — the kind that moves before prices do.

Here’s the traditional problem: this data is annoyingly hard to extract.

If you wanted to find high volume-to-cap ratio tokens before, you’d have to:

Pull raw volume and market cap data from multiple aggregators (like CoinGecko, CoinMarketCap, or exchanges directly)

- Dump it into a spreadsheet
- Write formulas to compute ratios
- Manually sort the results
- Hope you didn’t miss something between refresh intervals

That’s hours of work. For one idea.

We Asked Sharpe Search Instead

Instead of going through that, we asked Sharpe Search:

“Which tokens had the highest volume-to-market cap ratio in the past 24 hours?”

The answer came back in seconds. But more importantly — it came back with context:

TAGGER (TAG) – $84M volume, rank 830
Hamster Kombat (HMSTR) – $123M volume, rank 484
Paycoin (PCI) – $23.8M volume, rank 424
Mask Network (MASK) – $202.7M volume, rank 344
SOON – $144.3M volume, rank 749

And it didn't stop at the numbers. Sharpe explained:

“These tokens show significantly higher trading activity compared to their market capitalization, indicating strong short-term trader interest. However, high volume-to-market cap ratios can also signal increased volatility, so traders should exercise caution with these assets.”

That last part matters.

A tool that just gives you data is useful. A tool that interprets it for you, that’s leverage.

From Dashboard Overload to One-Line Prompts

Sharpe Search represents a subtle but profound shift in how we interact with crypto data.

Instead of clicking through charts, copying contract addresses, exporting CSVs, and building custom dashboards… you just ask.

“Which protocols saw the most TVL growth in the last 24h?”

“Which chains are attracting the most new users?”

“What tokens are generating the highest fees relative to market cap?”

“Show me DeFi apps with rising usage but flat token prices.”

The result: instead of working to get data, you start working with data. You can explore more ideas, more often, with less effort. That’s how compounding advantage starts, through workflow acceleration.

The Real Edge Is Asking Better Questions

Most alpha doesn’t come from knowing things others don’t. It comes from seeing signal faster. Acting with more clarity. Spotting what matters, before the crowd does.

In a space where narratives shift in hours and market cycles play out in days, reducing your time-to-insight is everything. Sharpe doesn’t just give you answers. It reduces the friction between you and insight.

And ironically, that’s the signal that most traders are still missing.

Because the next big move might not be about who knows first, but about who asks first.

gsharpe.

[Jones⚡️💪🏻 @CryptoJonesRC]

I asked Sharpe Search by @SharpeLabs the same question. Interesting to see the similarities!

Will play around with Sharpe Search more frequently. Maybe I'll find some hidden alpha👀

$SAI

[Spheron Network @spheron]

We’re partnering with @Hive_Intel to power the future of autonomous AI agents.

Hive is solving a critical need in the AI x Web3 space — providing LLM-ready, multi-chain blockchain data for agents, RAG workflows, and intelligent applications. @spheron supplies the decentralized GPU compute to fuel it.

Together, we’re enabling AI agents to query and act on crypto data, fully on-chain and fully autonomous.

[Utsav Agarwal @utsav_ai]

Had a great time doing conversations with @spheron , discussing the potential of AI infrastructure and decentralised compute to enable Web 3 developers

[Spheron Network @spheron]

https://t.co/3lCkazlVVK

[Sharpe AI @SharpeLabs]

We just hit 150k followers on 𝕏!

Big thanks to everyone who's been part of this journey.

This is just the beginning. Onward and upward.

[Sharpe AI @SharpeLabs]

We're excited to announce that we've closed our seed round with participation from @animocabrands @gbvofficial @Morningstar_vc @mavencapitalio @Metabroshq @ContangoDigital @apeterminal @AITProtocol and others

Sharpe AI is the fastest-growing super app in crypto—and now it's getting even faster!

Big things ahead👀

[Sharpe AI @SharpeLabs]

We are the #1 Trending product on Product Hunt! 🚀

Thanks to our Sharpe army who supported us!

[Sharpe AI @SharpeLabs]

🎉 Exciting News! We've just hit a massive milestone - 10,000 user sign-ups for Sharpe Earn! A huge thank you to everyone who's joined us on this journey. 🙌

Don't miss out! Sign up now for early access and get your Sharpe Points before Season 1 Airdrop kicks off! 📈🪂

[Sharpe AI @SharpeLabs]

🚀 Just crossed 5,000 followers! A huge thanks to our vibrant community – you're making this journey epic. Stay tuned, the best is yet to come 🌟