SaaS Metrics
Product Positioning & Context
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.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Co-Invest?
Co-Invest is a digital product or tool described as: Trade 500+ markets directly from ChatGPT & Claude
Where did Co-Invest originate?
Data for Co-Invest was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Co-Invest publicly launched?
The initial public indexing or launch date for Co-Invest within our tracked developer communities was recorded on June 2, 2026.
How popular is Co-Invest?
Co-Invest has achieved measurable traction, logging over 230 traction score and facilitating 37 recorded discussions or engagements.
Which technical categories define Co-Invest?
Based on metadata extraction, Co-Invest is categorized under topics such as: Fintech, Investing, Finance.
What are some commercial alternatives to Co-Invest?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as PI-Link Speed Radar, which offers overlapping value propositions.
How does the creator describe Co-Invest?
The original author or development team describes the product as follows: "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..."
Community Voice & Feedback
Hey Franklyn, that idea of rational ignorance sticking with you since high school is a fascinating origin point. Was there a specific moment later in your career where you watched wealth flow from someone less informed to someone more informed and thought this shouldn’t be happening, the information is out there, they just couldn’t access it?
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?
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.