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Frame
5.6K posts

Frame
@btcframe
Frame is an AI-powered investing assistant on your desk that you can talk to 24/7. Track markets, news, your portfolio, and thousands of assets in real time.
New York, NY 加入时间 Haziran 2013
2K 关注2.6K 粉丝
Frame 已转推

@markproduct I saw a problem that wouldn't let me sleep until I solved it.
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@Sherifdeenolat2 Keeping those first 10 users happy while figuring out what they’ll actually pay for.
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@Guronnimo That they don't buy what you *think* you built, they buy what it actually solves for them.
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@icanvardar Agreed. Sustainable growth comes from trust, value, and consistency, not shortcuts.
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@I_keepchanging Maybe. But if AI can help create products, discoveries, and economic output at a scale we've never seen before, that's where the ROI comes from. The question is whether the value created will exceed the cost of generating it.
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@joshjfish @X Builder here 👋 Also excited about what Frame is doing at the intersection of startups, crowdfunding, and AI. Looking forward to connecting with more founders and builders in the space.
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Hey @X algorithm,
Let's connect me with more people interested in:
-> SaaS 🔥
-> AI agents 🤖
-> Coding (vibe coding or not) 💻
-> Startups 💼
-> Automations 👾
-> Founders 🙋♂️🙋♀️
-> Builders 🙋♂️🙋♀️
#buildinpublic #letsconnect
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@Finance_w_Mohit AI is quickly becoming a general-purpose technology. The companies turning AI investment into real revenue will be the biggest winners.
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🚀 AI is no longer just a trend — it’s the biggest force driving markets in 2026.
From semiconductors to cloud computing and data centers, AI spending is shaping the next phase of stock market growth.
#AI #StockMarket #Investing #TechStocks #MarketUpdate

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@BitcoinSapiens That's probably the biggest AI conversation. The technology is moving fast, but society, education, and policy will have to adapt too.
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@asklivermore AI is eliminating some tasks, not eliminating the need for people. The companies that combine both effectively are the ones to watch.
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Software like $NOW, $MSFT, $ADBE, $PLTR, $ORCL, $IBM and others.
Software-related jobs are rising in 2026.
This means that AI is a productivity ENHANCER, rather than a job DESTROYER.
Software stocks will be bigger and BETTER in the future.
Just needs the rest of the markets to realize this.
May take some time.

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@ben_ai_eng Keep sharing. The people pushing these tools to their limits often have the most valuable insights to offer.
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I don’t live in San Francisco.
I don’t work at a big AI company.
But I do spend 8–12 hours a day using Codex and Claude to build production systems, agentic workflows, and health technology.
Sometimes I wish the people building these tools would respond to the things I share. That would be pretty cool.
Either way, I’ll keep building and documenting the journey.
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@VaibhavSisinty The most useful AI tools aren't necessarily the most advanced. They're the ones people actually use every day.
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@George_Babis Exactly. Capital expenditure got the headlines. ROI will decide the winners.
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For the first time since the AI boom began, investors are starting to ask a different question.
Not:
“How much should companies spend on AI?”
But:
“Will they ever earn an acceptable return on it?”
Over the past two years, Wall Street rewarded every company that announced larger AI spending plans.
Now the market is becoming more selective.
$GOOG , $AMZN , $MSFT , $META and other hyperscalers are collectively spending hundreds of billions on data centres, chips, networking infrastructure and AI talent.
At the same time, many are increasingly relying on debt markets to help fund those ambitions. Morgan Stanley estimates AI-related debt issuance could approach $570 billion this year alone. (CNA)
This doesn’t mean AI is a bubble. It means the easy phase is over.
The market no longer wants promises. It wants proof.
The next winners may not be the companies spending the most. They may be the companies generating the best return on every dollar invested.
That’s the question I’m watching most closely right now.
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@ActionModelAI That's the conversation we should be having. Creating value is one thing. Making sure more people share in that value is the real challenge.
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Anthropic CEO Dario Amodei has said even he’s worried about AI creating trillions in economic value while also replacing jobs.
That’s the paradox of AI:
Higher GDP.
Fewer workers.
We’ve never lived through a technological shift like this before.
The question isn’t whether AI will create value.
We all know it will.
The question is who benefits from it.
At Action Model, we believe the value created by AI should flow back to humanity, not just a handful of Big Tech companies and billionaires.
Join our movement to bring community-owned AI mainstream.
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@evokein @tryquantio That's a fascinating shift. Understanding the investor's behavior may end up being just as valuable as understanding the market itself.
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watched the @tryquantio demo and the feature that stuck with me wasn't the research tools.
it was the idea of creating a "shadow" version of your investing process from journals, trades and decisions.
most AI tools try to understand the market.
Quant AI seems to be trying to understand the investor too.
feels like financial intelligence is moving beyond answering questions and toward helping people recognize patterns in their own behavior.
worth watching the demo 👇
Quant AI@tryquantio
Meet Quant AI. Your AI companion for money. See what Quant AI sees 👉 tryquant.io
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@audiencon Because AI can help with marketing, but it can't create demand for something people don't want.
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Request for build: an investment product that goes exponential if AI does.
There's a particular kind of anxiety I keep running into with people who don't work in tech. They're using AI every day now, they can feel the energy, they see the IPOs coming in the trillions, and somewhere underneath it sits a quiet fear of being left behind while a new class pulls away.
So they ask the obvious question, how do I invest in this, and the answer is pretty weak. Buy Nvidia, some tech stocks, maybe an AI ETF that's half the names you already hold, and that's about it. The venture upside, the pre-IPO names, the real high-risk/high-return asymmetric stuff, is all closed off unless you're already wealthy and have access. Which is the whole problem crypto is supposed to solve.
Imagine an investment structure that gives regular people exposure to the entire thing.
Not just public stocks but pre-IPO names, early stage venture, infrastructure, even allocations into the sovereign funds now piling into AI. And then the interesting part, instruments that track what AI is actually doing in the world. Options, perps and prediction markets that pay out as AI takes its share of GDP, as it replaces white collar work, as the sector compounds into the trillions. And the real asymmetry is speed - the faster it all happens, the more it pays. Hit AGI in the next two years rather than the next ten and the thing goes vertical. Composable crypto rails are what tie it all together.
The financial structuring is obviously very tricky, but the harder part is who issues it. A basket of derivatives is only worth something if whoever wrote them can actually pay when you come to collect, so this has to be built by someone with a real balance sheet. Low counterparty risk, properly capitalised, etc.
The test for the product is simple - if AI goes exponential, the product goes exponential. If the technology 100x's and the thing returns 30% a year, it hasn't worked.
Get all of that right (very hard) and you've got yourself an extremely compelling investment product.
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@markproduct For an MVP? Probably not.
For scalability, reliability, and a polished product that customers trust? That's where great developers and designers still win.
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