Co-Invest by Liquid lets you research and place real trades inside ChatGPT or Claude. Access 500+ markets across crypto, equities, FX, commodities, and prediction markets—24/7. Fund in-chat, use on-chain signals (wallet activity, positioning, funding, order flow), and execute in plain language with stops/targets. Your AI also handles support with full context.
Before starting Liquid, I led AI for Macro at Two Sigma, working at the intersection of machine learning and markets. Before that, I was Harvard’s top-ranked math student twice.
One thing became clear throughout my career:
The best investors don’t win because they’re lucky.
They win because they have better information, process it faster, and execute with more precision.
For decades, that edge has mostly belonged to professionals.
Professional investors have had:
Better data
Faster research workflows
More sophisticated models
Real-time market intelligence
Direct execution infrastructure
Everyone else was guessing, or stitching together fragmented workflows.
That’s what we’re changing with Co-Invest: the first way to trade inside AI assistants like Claude.
Co-Invest gives everyone access to the kind of investing workflow that used to be reserved for professionals:
Superior information, including on-chain data like positioning
Superior data processing, powered by frontier AI
Superior execution through Liquid, with some of the lowest fees available
Instead of just reading about markets, you can ask questions, analyze opportunities, build conviction, and act — all through conversation.
Co-Invest lets you:
Access real-time market and on-chain intelligence
Construct portfolios according to any criteria, from risk profile to values
Process complex data faster with AI
Execute trades directly from chat
Access 500+ markets, including crypto, equities, FX, commodities, and prediction markets
Trade 24/7
Why we built it:
In high school, I was struck by the idea of rational ignorance: because humans have limited time and limited ability to process information, it can be rational not to know things. Sometimes, the cost of becoming informed is higher than the benefit.
I hated that idea.
As a math-obsessed kid who craved perfect rationality, the notion that ignorance could be produced by the system — not just by the individual — felt like surrender.
As I grew older, I saw how expensive that ignorance was.
Finance, at its root, is about asymmetric information. One side of every transaction knows something the other side does not.
An influencer pumps a stock to followers, then exits at the top. A scammer convinces a retiree to wire away her life savings. A brokerage auctions off the right to trade against your order. A market maker pays for the right to see your order before it fills.
Some of this is illegal. Some of it is legal. But every example has the same shape:
Wealth flowing from the less sophisticated to the more sophisticated.
Modern finance is very good at making that happen.
Co-Invest is our attempt to change the equation by giving everyone access to superior intelligence, better information, and better execution.
Who it’s for:
Investors who want better research and execution
Traders managing opportunities across multiple markets
AI-native users who already spend their day inside assistants like Claude
Anyone who wants access to a more professional-grade investing workflow
Our vision:
At Liquid, we’re building toward an AI-native financial system accessible to everyone, everywhere.
Our first product, the Liquid mobile app, gives people access to every market. Co-Invest pairs universal market access with universal intelligence.
That combination — universal markets plus universal intelligence — is incredibly powerful, and we’re just scratching the surface it.
We believe the next generation of investors won’t be limited by who has the biggest team, the most terminals, or the most infrastructure.
They’ll be empowered by AI.
Co-Invest is our first step toward making professional-grade investing capabilities available to everyone.
If you try it, I’d love your feedback:
Which markets, brokers, or exchanges should we support next?
What’s the biggest bottleneck in your investing workflow today: information, conviction, execution, or risk management?
Thank you for checking out Co-Invest and supporting our launch.
Looking forward to answering your questions in the comments.
500 markets across crypto, equities, FX, and commodities through a single interface raises some obvious questions about regulatory coverage. equities and FX have very different compliance requirements depending on the user's jurisdiction and 'fund in-chat' for securities trading is the kind of phrase that makes compliance teams nervous. curious how you're handling the regulatory layer across different asset classes and user locations
Strong concept. Security question: if my conversation with Claude or ChatGPT contains trade instructions and account details what's the data retention policy? Is the trade context stored on Anthropic or OpenAI infrastructure on your servers or is it ephemeral per session? For institutional users especially that distinction matters quite a bit.
Congrats on shipping this. I'm trying to think through the liquidity side for equities and FX specifically, are you acting as the broker dealer directly, or routing through a prime broker or third party liquidity provider? That affects execution quality, margin requirements, and ultimately how competitive your pricing can be at scale.
The AI handles support with full context feature is one of the most interesting parts of this product to me. Does that mean the support agent has read access to my full trade history and positions or just the current session? And is that handled by the same model or a separate system? The context boundary matters a lot for how much I'd trust it.
Built a Kalshi prediction market trading agent and Alpaca equity agent from scratch - so curious about the execution layer here. Alpaca gives developers raw API access to build their own logic. Co-Invest seems to be positioning as the consumer-facing version of that same idea. How are you thinking about the power user who wants to automate recurring strategies versus the casual trader who just wants to ask Claude what to buy? Those feel like pretty different products
Curious about the prediction markets integration specifically are you routing through an existing platform like Polymarket or Manifold, or have you built your own liquidity layer? Prediction market liquidity can be thin on non headline events, so I'd love to understand how you're handling slippage and order size limits there.
The plain language execution is compelling. I'm wondering how the AI handles ambiguous instructions for example, if I say 'buy some ETH when it dips' does it ask for clarification, set a conditional order, or wait for explicit confirmation before doing anything? Understanding where the guardrails are would help build confidence in using it for larger positions.
Congrats on the launch. Trying to understand the business model are you taking a spread on trades, charging a flat subscription, or is it fee per execution? With 500+ markets across so many asset classes, I imagine the revenue structure varies a lot by product type. Would be great to have more transparency on that upfront.
Love the on chain signal layer. Quick technical question: are the wallet activity and order flow signals pulled in real time or is there a lag? For fast moving markets like perps, even a 30-second delay on funding rate data can meaningfully change the trade case. Would love to know the data freshness story.
Really impressive scope here curious about the security model. When a user funds in chat and places a live trade, where are the keys or credentials held? Is execution going through a custodial wallet, a connected non-custodial wallet, or something else entirely? That's the piece I'd want to understand before putting real capital in.
You said finance at its root is about asymmetric information where one side knows something the other doesn't what specific feature or piece of data inside Co-Invest today gives a retail user an informational advantage that even many small professional funds still lack access to?
trading real money from a chat prompt is one of those things that sounds amazing until you think about what happens when you word something wrong. the confirmation step before execution matters a lot here
since you are offering 500+ markets across crypto, equities, FX, commodities and prediction markets, which asset class exposed the biggest technical challenge in terms of data normalization is it the fragmentation of on chain data across different blockchains or the regulatory complexity around executing equities inside a conversational AI?
How does Co-Invest handle position sizing, portfolio correlation and risk management across multiple markets can i ask it to never allocate more than 3% of my total capital to any single prediction market outcome, and if two of my positions are correlated above 0.7, warn me before I add a third and have it enforce those rules conversationally?
for an AI native user who already spends their entire day inside Claude for work, research and coding, how does Co Invest change the marginal cost of checking a market hypothesis do you see users moving from I will look at that later to acting on ideas immediately because the friction from curiosity to execution has dropped so dramatically?
Congratulations on the launch! bringing professional grade research, market intelligence, and execution directly into AI assistants is a compelling vision. what has been the biggest challenge so far in combining real time market data, AI analysis, and trade execution into a seamless conversational experience?
I currently live in India, so which markets do I have access to from your tool? Can I trade in the US market as well, or only in the Indian markets?
Franklyn, congrats on the launch!
Love how you brought the terminal into the chat interface! I'm curious about trade confirmations though.
Are you use a UI modal before execution to prevent accidental trades, or do you handle risk entirely with plain-language constraints in the chat?
About Co-Invest on Product Hunt
“Trade 500+ markets directly from ChatGPT & Claude”
Co-Invest launched on Product Hunt on June 2nd, 2026 and earned 210 upvotes and 36 comments, placing #4 on the daily leaderboard. Co-Invest by Liquid lets you research and place real trades inside ChatGPT or Claude. Access 500+ markets across crypto, equities, FX, commodities, and prediction markets—24/7. Fund in-chat, use on-chain signals (wallet activity, positioning, funding, order flow), and execute in plain language with stops/targets. Your AI also handles support with full context.
Co-Invest was featured in Fintech (47k followers), Investing (26.6k followers) and Finance (5.9k followers) on Product Hunt. Together, these topics include over 27.7k products, making this a competitive space to launch in.
Who hunted Co-Invest?
Co-Invest was hunted by Justin Jincaid. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Co-Invest stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Justin Jincaid
Hi Product Hunt! 👋
I’m Franklyn Wang, founder and CEO of Liquid.
Before starting Liquid, I led AI for Macro at Two Sigma, working at the intersection of machine learning and markets. Before that, I was Harvard’s top-ranked math student twice.
One thing became clear throughout my career:
The best investors don’t win because they’re lucky.
They win because they have better information, process it faster, and execute with more precision.
For decades, that edge has mostly belonged to professionals.
Professional investors have had:
Better data
Faster research workflows
More sophisticated models
Real-time market intelligence
Direct execution infrastructure
Everyone else was guessing, or stitching together fragmented workflows.
That’s what we’re changing with Co-Invest: the first way to trade inside AI assistants like Claude.
Co-Invest gives everyone access to the kind of investing workflow that used to be reserved for professionals:
Superior information, including on-chain data like positioning
Superior data processing, powered by frontier AI
Superior execution through Liquid, with some of the lowest fees available
Instead of just reading about markets, you can ask questions, analyze opportunities, build conviction, and act — all through conversation.
Co-Invest lets you:
Access real-time market and on-chain intelligence
Construct portfolios according to any criteria, from risk profile to values
Process complex data faster with AI
Execute trades directly from chat
Access 500+ markets, including crypto, equities, FX, commodities, and prediction markets
Trade 24/7
Why we built it:
In high school, I was struck by the idea of rational ignorance: because humans have limited time and limited ability to process information, it can be rational not to know things. Sometimes, the cost of becoming informed is higher than the benefit.
I hated that idea.
As a math-obsessed kid who craved perfect rationality, the notion that ignorance could be produced by the system — not just by the individual — felt like surrender.
As I grew older, I saw how expensive that ignorance was.
Finance, at its root, is about asymmetric information. One side of every transaction knows something the other side does not.
An influencer pumps a stock to followers, then exits at the top. A scammer convinces a retiree to wire away her life savings. A brokerage auctions off the right to trade against your order. A market maker pays for the right to see your order before it fills.
Some of this is illegal. Some of it is legal. But every example has the same shape:
Wealth flowing from the less sophisticated to the more sophisticated.
Modern finance is very good at making that happen.
Co-Invest is our attempt to change the equation by giving everyone access to superior intelligence, better information, and better execution.
Who it’s for:
Investors who want better research and execution
Traders managing opportunities across multiple markets
AI-native users who already spend their day inside assistants like Claude
Anyone who wants access to a more professional-grade investing workflow
Our vision:
At Liquid, we’re building toward an AI-native financial system accessible to everyone, everywhere.
Our first product, the Liquid mobile app, gives people access to every market. Co-Invest pairs universal market access with universal intelligence.
That combination — universal markets plus universal intelligence — is incredibly powerful, and we’re just scratching the surface it.
We believe the next generation of investors won’t be limited by who has the biggest team, the most terminals, or the most infrastructure.
They’ll be empowered by AI.
Co-Invest is our first step toward making professional-grade investing capabilities available to everyone.
If you try it, I’d love your feedback:
Which markets, brokers, or exchanges should we support next?
What’s the biggest bottleneck in your investing workflow today: information, conviction, execution, or risk management?
Thank you for checking out Co-Invest and supporting our launch.
Looking forward to answering your questions in the comments.
— Franklyn Wang
Founder & CEO, Liquid