@utcompsci | prev intern @jumptrading, @coinbase, @scale_ai
Joined February 2022
- Tweets135
- Following931
- Followers482
- Likes1.2K
gautam retweeted
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
gautam retweeted
Introducing TimesFM-3, a state-of-the-art time series foundation model that enables accurate multivariate time series forecasting in a single forward pass, significantly outperforming other forecasting models across major benchmarks.
More on the blog →goo.gle/4x5WGpD
ALT TimesFM-3 architecture.
gautam retweeted
really good breakdown of building and scaling a prediction market market maker from scratch.
most threads talk about the strategy. this one talks about everything that breaks during testing: stale quotes, websocket desyncs, partial fills, reconciliation, adverse selection, ...
also a nice reminder that liquidity compounds. the whole strategy depended on being able to hedge against a deeper, more liquid market
nowadays anyone can spin up a bot from their laptop and learn the same market structure lessons that used to require a seat at a prop shop
gautam retweeted
A milestone for U.S. market structure: a true bitcoin perpetual, approved by the @CFTC on a registered exchange.
Perps have long been crypto’s center of gravity for liquidity and price discovery and now that activity is onshore in the U.S. for the first time. This is a huge win for U.S. financial innovation: bringing products onshore and regulated by the @CFTC .
In my first public remarks as @CFTC Chairman, I made clear that the agency would use the tools at its disposal to onshore crypto asset perpetuals. Today, the @CFTC delivered on that commitment.
This morning, the @CFTC took historic action to permit the listing of a true bitcoin perpetual contract by a CFTC-registered exchange, charting a path for one of the most liquid segments of the crypto asset markets to exist within the US regulatory framework.
imc prosperity is unironically a great benchmark for agents; interesting to see how much edge each model can achieve from reading the problem, ingesting the data and one-shotting a solution
gautam retweeted
Huge congratulations to TradeXYZ and S&P for this historic partnership. I'm honored that these teams choose to build on Hyperliquid.
Seeing official S&P500 perpetual futures launch exclusively on Hyperliquid is a validation of everyone's past years of hard work: global access to decentralized finance, perpetual futures as 24/7 price discovery, and Hyperliquid upgrading the existing financial stack to house all of finance.
The S&P500 is synonymous with "the market," a single number that captures the essence of the largest economy in the world. Looking forward to tracking the world's most important financial gauge 24/7 on the most liquid permissionless markets.
S&P Dow Jones Indices and trade[XYZ] have joined forces to launch the first official S&P 500 perpetual contract, available exclusively on Hyperliquid.
For 69 years, the S&P 500 has been a defining reference point for global finance. Until now, access to that benchmark has been shaped by market hours, intermediaries, and geography. Today, that changes.
The S&P 500 perp is now available 24/7/365, anchored by the official index data required for deep liquidity and institutional confidence at scale.
SPDJI helped define modern indexing. They are stewards of an iconic benchmark, the standard against which portfolios across the globe are measured. We are honored to bring that legacy on-chain.
Trade[XYZ] is bringing the world's most iconic assets towards a future of global, continuous markets — a future powered by Hyperliquid.
Super happy that my Prop AMM finally made the leaderboard at #37 with +461 edge
It's been extremely valuable to me as a student, and I want to give huge thanks to @danrobinson and @bqbrady for setting up this competition
Will continue to fine-tune and improve it!
gautam retweeted
Im super excited to announce that I will officially be joining the protocol team @Polymarket.
Prediction markets are the future. I see a world where anyone who participates in public markets, actively or passively, also participates in prediction markets. Polymarket is the team that’s going to execute on that vision. Not only is the team insanely cracked, but they’re also anchored in the fundamentals that matter: trustless, decentralized markets that scale.
Huge thank you to Mike, Joelle, Rodrigo, Jon, Jacob, and Ethan for pushing me through this process. I am super grateful for this opportunity and can’t wait to start building. @_loset Does this mean I can get a Polymarket badge now 😆
I built a native, low-latency C++ CLOB client for @Polymarket
After wrapping up my finals, I’ve been spending my winter break—like a lot of others—trading Polymarket’s 15-minute crypto price markets. Naturally, I started writing bots to trade these markets, and one thing I quickly noticed was that while there were solid Python, TypeScript, and Rust clients, there wasn’t a C++ option.
A lot of trading infrastructure in quantitative trading and HFT is still written in C++, and I thought this could be a good on-ramp for folks from that world to experiment with Polymarket using tools they’re already comfortable with, while also being a great learning experience for me as a student.
When it comes to Ethereum tooling, Rust, Python, and TypeScript all have fairly mature ecosystems—C++ is the odd one out. Because of that, I had to implement much of the Ethereum-specific logic completely from scratch, which ended up being one of the most rewarding parts of the project:
- EIP-712 typed data signing
- RLP encoding
- ABI encoding
- Ethereum JSON-RPC client
- On-chain approval helpers
- L2 HMAC auth message construction
(Using OpenSSL for cryptographic primitives and libsecp256k1 for signing)
Along the way, I spent a lot of time learning and applying low-latency optimizations for high-frequency trading—like keeping TCP/TLS hot, SIMD JSON parsing for fast market data handling via simdjson, background heartbeats, and more. I plan on writing more about this in a future post, so stay tuned.
The client is still early, but it already has full feature parity with the Rust client for core trading:
- L1 / L2 authentication
- Order creation, signing, and posting
- Market data endpoints
- On-chain approvals (USDC + CTF)
- All order types (GTC, FOK, GTD, FAK)
On the roadmap:
- Custom memory allocators
- Zero-copy string views
- Profile-guided optimization
- 100% feature parity with the Rust client
I’ve learned a lot from this project, and with the new maker rebates that have just rolled out for 15-minute markets, I expect more participants to start providing liquidity. Hopefully this makes it easier to build tighter, lower-latency trading strategies.
School starts soon, but I plan on shipping a lot of the roadmap items before then.
Contributors welcome.
cc: @PolymarketBuild @shayne_coplan
github.com/gnarayan1337/cpp-…
welcome to the future
New on our Frontier Red Team blog: We tested whether AIs can exploit blockchain smart contracts.
In simulated testing, AI agents found $4.6M in exploits.
The research (with @MATSprogram and the Anthropic Fellows program) also developed a new benchmark: red.anthropic.com/2025/smart…
out of everything i've shipped @base, this one's my favorite. cant wait to keep making it better!
Trending Coins feature is 🔥 on @baseapp
quick nav alpha:
click token = quick stats
click logo = full asset page incl charts
click buy = instant trade
click 🔥 icon = back to trending list
stay based. hunt trends.