
Hey YC! 👋
We’re Lihong & Bryan, former quant trader and developer, and we are building Freeport Markets (https://freeportmarkets.com) to make DeFi investing more accessible for all.
TL;DR: Freeport helps you build a diversified crypto portfolio across quality assets, and access the most trusted and lucrative opportunities in DeFi on one page, with one click.
Ask: Try freeportmarkets.com (on desktop with hot wallet) and give us feedback! Connect us with student orgs or other groups who can help us with distribution. Our ICP are crypto-adjacent folks who keep most of their crypto on Robinhood/Coinbase. Check out our fun promo vid 👇https://www.youtube.com/watch?v=TWZTB_r_jO4
Most investors’ crypto portfolios suffer from the follow issues:
Net: The best opportunities are in DeFi, but people miss out on common-sense optimization, true diversification, and lower fees, because DeFi is fragmented and confusing.
💰Our Solution
🏦Our Mission
Bring value and science-based “quantamental” investing to crypto, so people view it as the legitimate long-term asset that it is, not a day-trader’s playground. We combine rigorous screening and factor/sector diversification to filter noise and compound value over time.
⛵Chart Your Course With Freeport
We pair a disciplined universe + sector taxonomy with data-driven quantitative factors + human-expertise to construct recommendations and strategies that moves portfolios away from single-asset concentration toward repeatable, explainable, multi-factor returns, at freeportmarkets.com.
Freeport makes social media tradable by turning the sources you trust into actionable trades.
The core problem is that the earliest market signals now live in human networks and attention flows, not traditional research pipelines. Edge emerges first in Twitter threads, Reddit communities, and other alternative data. In an attention-driven economy, price moves not just on facts, but on what spreads, who amplifies it, and how quickly a narrative captures mindshare. Retail investors feel this most because they lack terminals, coverage, and the bandwidth to monitor dozens of feeds for breaking news, catalysts, and shifts in positioning.
Freeport productizes the situational awareness workflow that professionals do manually. We turn your trusted sources into a tradable feed by detecting breaking signals, measuring what is gaining attention, cross-checking across media, mapping second-order impacts to assets, and producing inspectable trade cards with evidence and context. The goal is not more content. It is a continuously updated view of what matters right now and what it implies.
We are building this because we have lived the gap between trading with full coverage and trading blind. I traded single stock equity derivatives at three major market makers, where analyst coverage, real time news, and a shared view of catalysts and positioning materially improve decisions. In my personal account outside that coverage, it is easy to miss headlines, attention shifts, or key catalysts until price has already moved, and even strong teams cannot monitor everything. My cofounder is deeply technical with experience at Capital One and Huawei, and we are building Freeport to make that level of speed and situational awareness accessible to everyone.
Our thesis is simple. As attention becomes a primary market input, the winners will be those with an AI layer that turns trusted information and real-time attention into timely, explainable decisions. Freeport keeps you situationally aware so you are always up to date and never late.
If we succeed, the world changes in one main way: anyone can turn an opinion into a precise market position as easily as posting a thought online. Today that translation is slow and gated. You need context, instrument selection, sizing, execution, and risk controls across fragmented venues. Institutions win because they have teams and systems that continuously do this work.
Freeport’s long-term vision is to build the on-chain infrastructure that connects information to execution. We turn continuous information processing from an institutional advantage into shared rails so more people can access sophisticated opportunity sets, move faster from belief to position, and trace exactly why a trade exists back to its source and evidence.
At the macro level, this improves market quality. Prices are an information system meant to compress dispersed knowledge into signals that coordinate capital. When interpretation is bottlenecked, price discovery is thin and discontinuous. If we democratize the signal to decision workflow with transparent provenance, price discovery becomes deeper and more continuous as more participants act earlier with context. The result is better prices, better capital allocation, and a market closer to decentralized coordination through dispersed knowledge.