tzamalis

Running a small private beta for my AI-assisted equity research engine. Looking for 5 serious long-term investors who want a full analysis on a company they own. Not selling anything — I want feedback. Comment the ticker ↓ #valueinvesting

@AlexFinn I’m using OpenClaw to run full fundamental equity research workflows. You give it a ticker → it builds a complete long-term analysis (moat, capital allocation, earnings quality, intrinsic value). Feels like having a personal research analyst.

OpenClaw is the greatest AI tool ever made, but I still hear SO many people say 'there are no good use cases' That ends now In this video I go over 5 use cases that will be helpful to EVERYONE No matter who you are, if you watch this video, your life will be 5x more efficient

@Cobratate Built my own OpenClaw stack for equity research. Definitely not a scam — just early and very raw. The leverage for solo analysts is insane.

OPEN CLAW CLAUDE BOT IS A SCAM

@Yuchenj_UW Been experimenting with a local OpenClaw stack for something different — using agents for full fundamental equity research, not execution. Early and messy, but the leverage is insane. Feels like the first version of “personal quant tools” for long-term investors.

OpenClaw? You mean the vibe-coded project that passed Linux in GitHub stars in 3 months, triggered Mac mini shortage in Silicon Valley, and became the first one-person billion-dollar company to get acquired by OpenAI?

@CryptoKaleo I’m training my OpenClaw setup to run full Buffett/Graham-style company analysis. Still early, but the output is already usable. If you ever want to stress-test it on something you own — would love the feedback.

I spent $72,000 on 120 Mac Minis, and another $12,000 setting everything up for OpenClaw. I want to change the world, and I believe this ClawdBot setup can do that. Will keep you guys posted on how everything develops. So far I've used my agents to reply to three emails and filter another 268 that were unread, which is a 10x productivity improvement from what I typically accomplish each day.

@summeryue0 Running my equity research agent locally. First rule I added: never execute without a valuation sanity check 😅

Nothing humbles you like telling your OpenClaw “confirm before acting” and watching it speedrun deleting your inbox. I couldn’t stop it from my phone. I had to RUN to my Mac mini like I was defusing a bomb.

@CryptoKaleo I’m using a local agent stack for fundamental equity research. Not automating tasks — automating decision frameworks. Different game.

First 2 companies I’m analyzing this week: $MSFT $GOOGL Full framework. No shortcuts. 2 spots left.

Running a small private beta for my AI-assisted equity research engine. Looking for 5 serious long-term investors who want a full analysis on a company they own. Not selling anything — I want feedback. Comment the ticker ↓ #valueinvesting

What you’ll get: — Business & moat analysis — Capital allocation review — Earnings quality checks — Intrinsic value range — Buy / watch / avoid decision framework Built for long-term investors, not traders.

@carbonfinancex Price action is short term. What matters: FCF moat capital allocation If those are intact, underperformance = opportunity.

YTD Performance: $SPX: +0.92% $META: +0.81% $NVDA: +0.51% $GOOG: -0.13% $AAPL: -2.37% $TSLA: -5.99% $AMZN: -7.24% $MSFT: -16.01%

@MarceloLima SaaS isn’t dying. What’s dying is: – weak moats – 80% gross margin with no pricing power – “growth at any price” AI compresses feature value. It does NOT compress distribution, data, or ecosystem lock-in. The gap between MSFT-type SaaS and the rest will get wider.

Watch Nadella describe SaaS apps as nothing more than a CRUD database with some business logic, but once the business logic moves to AI agents, SaaS is over:

@sachinyadav699 The problem isn’t competition. The problem is 70x P/E for 15% margins.

Every idea feels taken. Every API already exists. Every SaaS has 12 competitors. So what do we even build now?

What’s actually happening: ❌ Market panic-sold quality SaaS → $MSFT ❌ Still holding overvalued SaaS → $NOW Fear is mispriced. Fundamentals aren’t.

AI is NOT killing SaaS. It’s separating winners from overvalued players. $MSFT vs $NOW — fundamentals tell the real story:

$MSFT • 46.6% operating margin (best-in-class) • Copilot across the ecosystem → deeper lock-in • ~25x P/E for durable double-digit growth AI is strengthening the moat.

$NOW • 15% operating margin → LOW for SaaS • ~65x P/E → pricing perfection • 20% growth → will naturally slow This is a valuation risk — not an AI disruption story.

The issue is NOT the SaaS model. The issue is: – weak margins – unrealistic growth assumptions – extreme valuations AI just accelerates the reckoning.

@edgaralandough I struggle to see $UNH compounding from here: – FCF yield below the risk-free rate – dividend not covered by normalized FCF – margins structurally declining Hard to get millionaire-making returns without a big rerating in business quality.

These five investments will create a group of millionaires by 2030: 1. $PLTR – Palantir 2. $ADBE – Adobe 3. $CRM – Salesforce 4. $SPGI – S&P Global 5. $UNH – UnitedHealth You don’t need 50 stocks. You just need 3–5 right ones — and conviction.

@Barchart Death cross gets the headlines, but the real issue for $UNH is fundamentals: FCF yield below the risk-free rate, dividend not covered by normalized FCF, and margins compressing. Price is just reacting to business quality deterioration.

BREAKING 🚨: UnitedHealth $UNH forms a Death Cross ☠️ for the first time since January 2025 🤯 The last one sent shares plunging 57% over the next 6 months 📉📉

@fiscal_ai Revenue scale is massive, but the key question for UNH is earnings quality. FCF yield is below the risk-free rate and the payout exceeds normalized FCF. Do you think Optum can structurally offset the insurance margin compression?

Amazon is now the largest company in the world by revenue, after surpassing Walmart. 1. Amazon: $717B 2. Walmart: $681B 3. Saudi Aramco: $449B 4. UnitedHealth: $448B 5. Apple: $416B $AMZN $WMT $UNH $AAPL