Public is a multi-asset brokerage where retail investors trade stocks, ETFs, options, crypto, bonds, and other assets from a single account. This launch opens the platform's AI Agents feature to all users, removing the waitlist that gated it after the initial rollout four months ago, and introduces a catalog where investors can browse ready-made agents built by others, deploy them into their own portfolio, or fork the underlying logic to adjust parameters like account, ticker, or share quantity.
The catalog spans five categories, trading strategies, market monitoring, risk management, fund management, and sentiment analysis , with each card exposing the exact workflow behind examples like dividend reinvestment schedules or automated covered call strategies. The pitch against connecting a brokerage to external tools like ChatGPT or Claude is that these agents run natively inside an authenticated Public account, execute deterministically against user-defined criteria rather than model output, and log every decision for review, pausing, or editing from web or mobile.
The context matters because Public, co-founded in 2019 by Leif Abraham and Jannick Malling and now serving more than three million users , is staking out a position in a crowded field where brokerages are racing to define what "AI in your portfolio" actually means. Turning agents into a shareable, remixable format pushes that debate toward workflows retail investors can inspect and hand off to each other, rather than opaque chat sessions.
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Priya Vaidya1d ago
A marketplace of agents for portfolios is either genius or the fastest way to speedrun someone's Roth IRA into a smoking crater. I'm subscribed either way.
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Tomas L.1d ago
The tweet buried the lede. 'No more waitlist' should have been line one, not the footnote after three arrows.
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kenji1d ago
Ok wait, so I can build an agent, share it with my group chat, and watch them run it in their own accounts? That's a memecoin without the coin.
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Ada Okafor1d ago
Curious how creator liability shakes out when SharedAgent69 nukes someone's account. The TOS on that page must be a novella.
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Misha S.1d ago
Shipped something very similar inside a big co in 2019, killed for 'regulatory ambiguity.' Genuinely glad someone with a broker-dealer is actually doing it.
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Lena Castellano1d ago
The launch graphic is clean but the arrow bullets in the tweet copy are giving 2022 product hunt. Let the product breathe.
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Rafa Montero1d ago
Hot take: the marketplace is the moat, not the agents themselves. Whoever owns distribution of strategies wins the next cycle.
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Haruka Noda1d ago
One more thing for the roadmap: let me backtest a shared agent against my actual holdings before I deploy it. That's the trust bridge.
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Yuwen Z.1d ago
Is there an API for agent creation or is this UI-only? Asking because my whole thesis depends on the answer.
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devscribbler1d ago
Rate limits on agent execution during market open would be the real spec I want to see. Everything else is marketing.
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Noor Haddad1d ago
Retention on the first 10 seconds of that landing page is going to depend entirely on whether people trust an agent named by a stranger. Trust badges when.
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Brigitte Mwangi1d ago
The margin story here is fascinating. Compute per agent per user could get spicy fast if these things actually get shared at scale.
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santi1d ago
If you're hiring on the agents team, I know a brilliant applied ML engineer who just wrapped up at a robo-advisor. DMs open.
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Public is a multi-asset brokerage where retail investors trade stocks, ETFs, options, crypto, bonds, and other assets from a single account. This launch opens the platform's AI Agents feature to all users, removing the waitlist that gated it after the initial rollout four months ago, and introduces a catalog where investors can browse ready-made agents built by others, deploy them into their own portfolio, or fork the underlying logic to adjust parameters like account, ticker, or share quantity. The catalog spans five categories, trading strategies, market monitoring, risk management, fund management, and sentiment analysis , with each card exposing the exact workflow behind examples like dividend reinvestment schedules or automated covered call strategies. The pitch against connecting a brokerage to external tools like ChatGPT or Claude is that these agents run natively inside an authenticated Public account, execute deterministically against user-defined criteria rather than model output, and log every decision for review, pausing, or editing from web or mobile. The context matters because Public, co-founded in 2019 by Leif Abraham and Jannick Malling and now serving more than three million users , is staking out a position in a crowded field where brokerages are racing to define what "AI in your portfolio" actually means. Turning agents into a shareable, remixable format pushes that debate toward workflows retail investors can inspect and hand off to each other, rather than opaque chat sessions.
Comments (13)
A marketplace of agents for portfolios is either genius or the fastest way to speedrun someone's Roth IRA into a smoking crater. I'm subscribed either way.
The tweet buried the lede. 'No more waitlist' should have been line one, not the footnote after three arrows.
Ok wait, so I can build an agent, share it with my group chat, and watch them run it in their own accounts? That's a memecoin without the coin.
Curious how creator liability shakes out when SharedAgent69 nukes someone's account. The TOS on that page must be a novella.
Shipped something very similar inside a big co in 2019, killed for 'regulatory ambiguity.' Genuinely glad someone with a broker-dealer is actually doing it.
The launch graphic is clean but the arrow bullets in the tweet copy are giving 2022 product hunt. Let the product breathe.
Hot take: the marketplace is the moat, not the agents themselves. Whoever owns distribution of strategies wins the next cycle.
One more thing for the roadmap: let me backtest a shared agent against my actual holdings before I deploy it. That's the trust bridge.
Is there an API for agent creation or is this UI-only? Asking because my whole thesis depends on the answer.
Rate limits on agent execution during market open would be the real spec I want to see. Everything else is marketing.
Retention on the first 10 seconds of that landing page is going to depend entirely on whether people trust an agent named by a stranger. Trust badges when.
The margin story here is fascinating. Compute per agent per user could get spicy fast if these things actually get shared at scale.
If you're hiring on the agents team, I know a brilliant applied ML engineer who just wrapped up at a robo-advisor. DMs open.