Gregory Akerman

3.1K posts

Gregory Akerman

Gregory Akerman

@gregoryakerman

Web Development / Fitness / AI / Politics

Los Angeles, CA, USA Katılım Şubat 2009
1.7K Takip Edilen546 Takipçiler
Gregory Akerman retweetledi
Ethan Trader
Ethan Trader@sandra836544639·
I'll only say it once. This might be the fastest way to accumulate $1 million by the end of 2026: $NVDA (NVIDIA) → $228 Must buy $IREN (IREN Ltd) → $56 Must buy $MU (Micron) → $795 Must buy $CSCO (Cisco) → $113 Must buy $TSM (TSMC) → $410 Must buy $RKLB (Rocket Lab) → $122 Must buy I often get asked why I don't turn this into paid content, but for me, sharing stock information is just a hobby. I'm not financially struggling, so I choose to share it for free. NFA
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Felix Haas
Felix Haas@felixhhaas·
How To Prompt High-End Websites In Lovable: Prompting is the new designing. Most people use Lovable to describe what to build. The ones getting exceptional results describe how it should feel. Big difference. I've been playing around with a few new prompt hacks over the past few days and collected my favorites into a full playbook. Some of them sound a little strange. Trust me anyway. I recently built a speaker product landing page that looks like a creative agency spent three weeks on it. But in reality it took one proper prompt based on a few patterns that trigger exceptional design. Read full playbook here: open.substack.com/pub/designplus…
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Gregory Akerman retweetledi
Con
Con@__Con_·
I bet you all the 13 stocks Trump just purchased will be up so much, in 12 months you'll wish you bought. Bookmark this and come back. Remember the prices now: 1) $PLTR - $133 2) $HOOD - $78 3) $NVDA - $235 4) $SOFI - $15 5) $MSFT - $409 6) $AAPL - $299 7) $DIS - $105 8) $V - $321 9) $ULTA - $496 10) $JPM - $302 11) $COIN - $210 12) $LYFT - $13 13) $AMZN - $267 I'm already positioned in most of these, so I'm good, but if you're not, what're you doing? Who is better to copy trade then the president himself?
amit@amitisinvesting

PRESIDENT TRUMP JUST SUBMITTED HIS STOCK PURCHASES/SALES TO THE WHITE HOUSE OFFICE OF ETHICS. The document is over 100 pages and has thousands of trades. This is one of the first times we've seen a sitting President actively trade securities and not just sit in corporate debt, index funds, or treasuries. Here are some of the names that Trump bought: $PLTR, $HOOD, $NVDA, $SOFI, $MSFT, $AAPL, $DIS, $V, $ULTA, $JPM, $COIN, $LYFT, $AMZN.

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Mark Lou
Mark Lou@markproduct·
Gemini 3.1 Pro is insane 🤯 Prompt below 👇
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SolSuit
SolSuit@WolfOfTrenchess·
Most retail investors will miss the memory supercycle. Again. They missed $MU at $60. They missed $SNDK at $30. Now $HBM demand is confirmed through 2027. Every Nvidia GPU runs on High Bandwidth Memory. All 2026 HBM capacity is already sold. The shortage is structural. The opportunity is still open. But most people will wait until it's obvious. That's called buying the top. Who's already positioned? 👇
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Gregory Akerman retweetledi
Prof
Prof@TheProfInvestor·
Guy is literally on fire. Amazing performance. Buys and rides them. $RKLB 55%. $CRDO +34% $COHR 27%.. Saw him do it to $IREN today, legit cant wait to see this guy's future.
Mr. T@MrTinvests

we made big profits on $rklb $cohr $iren $crdo $pltr space stocks $pl $bksy $sats are next our challenge account going up every day. we’re going to make a lot of memories, make $1000s daily. Get rich together. I am committed to this.

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Viktor Oddy
Viktor Oddy@viktoroddy·
❤️‍🔥Just Recorded a Full Guide on How To Build Interactive Animated Website with AI. Bookmark this before you forget. Free access. Real workflows. No excuses.
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Mark Lou
Mark Lou@markproduct·
OMG 😱 Claude ai is Banger! Prompt 👇
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Gregory Akerman retweetledi
NoLimit
NoLimit@NoLimitGains·
🚨 Donald Trump just revealed which stocks he’s buying in 2026 FULL LIST: VOO IWB NOW NVDA RSP ADBE WDAY ORCL MSFT AVGO SNPS CDW PG CDNS TT TXN FIS MSI ETN XLI TDG AMZN JBL COST AXON COMT KRUS DELL BA UBER IEMG AAPL XLK NVR SMCI GOVT ICE KLAC FFIV AVB XEL ARES WM EFA CRM PNC DVA GOOGL NWSA WST HD CVNA IEX NFLX VTI TOMORROW, every fund over $100M must legally disclose their Q1 2026 trades to the SEC. Every major filing will be posted on @InTheAssembly so follow them with notifications. If you don’t follow them, you will regret it.
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Prof
Prof@TheProfInvestor·
Get ready for Quantum season: $IONQ $QBTS $RGTI $QUBT they have hit reset.
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Iamveektoria.base.eth 🙂‍↔️🌳 ✠
If lack of skills has been stopping you from making money online, this is for you. These 10 sites can teach you any tech skills for free. RT to help someone or bookmark this for when you need it. Good luck!
GROWTH IN WEB3 🙂‍↔️@growthinweb3

Coursera, YouTube, and Udemy are not the only places you can get FREE tech courses. Here are 10 uncommon apps that can teach you tech skills for FREE. ➜ Enki Teaches tech one small thing a day. Programming, data, Python, SQL, logic. Built for consistency, not overwhelming. enki.com ➜ Mimo Duolingo for tech skills. Learn coding in small bites. Great for commuting or resting. mimo.org ➜ Programming Hero Coding with real examples and challenges. Feels like a game but you're learning real skills. Good if you get bored easily. programming-hero.com ➜ Grasshopper Built by Google. Teaches JavaScript and coding logic clearly. If coding ever felt scary, this makes it gentle. grasshopper.app ➜ DataCamp (Free sections) Most people think it's paid only. It's not. Free beginner lessons for data and analytics without drowning in theory. datacamp.com ➜ Brilliant Teaches you how to think, not just memorise. Logic, problem solving, tech-related thinking. brilliant.org ➜ Skillshare (Mobile app, free trial) Most people don't use it well. Focus on one tech skill during the free period and you'll have enough to start practising immediately. skillshare.com ➜ LearnGitBranching Niche and very powerful. Teaches Git and version control visually. Most beginners avoid Git. This app makes it click. learngitbranching.js.org ➜ Exercism You learn by solving real problems and getting feedback. Not just watching videos. Great for building confidence. exercism.org ➜ CodeSnack / Replit Mobile Write code, test ideas and break things. Learning sticks faster when your hands are involved. codesnack.io replit.com/mobile Follow, Repost and Join us on TG for more help with growing in web3 - linktr.ee/growthinweb3

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Matty
Matty@stealth_riot·
Girl was uncomfortable sharing a room w a trans girl, the school says okay and moves her to another room away from the trans kid respecting her wishes and boundaries. Parents sue anyways?? Tf do these people want? “Kids deserve privacy” SHE GOT THE PRIVACY SHE WANTED.
Kristen Waggoner@KristenWaggoner

Their 11-year-old daughter went on a class trip—only to discover that her hotel roommate (and expected bedmate) was a boy. Today we’re representing them & other CO parents at the 10th Circuit. Kids deserve privacy on overnight trips. Parents deserve the chance to protect them.

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Gregory Akerman retweetledi
Idea Browser
Idea Browser@ideabrowser·
They stole my ideas, built it with agents and put it on a billboard. Dang. What a time to be alive.
Hyperagent@hyperagentapp

We're taking startup ideas from @startupideaspod / @ideabrowser and bringing them to life with a team of agents: Deep research on the problem space → Product prototype → Cinematic landing page → Billboard in a real location Ideas like: 🏡 Hyper-local market reports for real estate pros 💻 Lead gen that scans GitHub for buying signals 📱 Mobile app studio built for SMB budgets Get $1k in inference to run these agents for yourself below ⬇️

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Gregory Akerman retweetledi
Jessi Cao
Jessi Cao@jessijingyicao·
Must read
GREG ISENBERG@gregisenberg

My 30+ observations on the greatest opportunities in AI agents right now: And some ideas that are keeping me up at night. 1. The new buyer on the internet is an AI agent. Imagine billions of new customers showing up with money to spend but they only shop via MCP. That's what's happening. No MCP server means you're invisible to the fastest growing buyer on the internet. 2. Every franchise system in America (30,000+) needs an agent layer and none of them have one. One founder per franchise vertical. That's 30,000 businesses waiting. 3. Everyone said "distribution is the only moat" a year ago. Now I'd add that the only moat is distribution plus memory. The company that has your audience AND your agent's accumulated context is impossible to leave. 4. Consumer mobile is more interesting than it's been since 2012. Apps can finally DO things for you instead of showing you things. The next wave of $100M apps are being built right now. 5. The most interesting startup nobody has built is an agent marketplace where you rent access to someone else's trained agent. A recruiter spent 6 months training a sourcing agent on healthcare hiring. That agent is worth renting to every other healthcare recruiter on earth. The agent itself becomes the product. 6. A sorta strange phenomenon that's happening right now is agents are developing preferences. Give the same agent the same task 100 times and it starts developing patterns in how it approaches it. Nobody is studying this yet. But the agents that develop good patterns are worth more than the ones that don't. That's a new kind of asset. 7. Dead internet theory is about to become dead SaaS theory. Half the apps you use will quietly replace their support team, their onboarding team, and their content team with agents. You won't notice for months. Then you'll realize you haven't talked to a human at that company in a year. 8. The most valuable data in the world right now is sitting in the support tickets of small or mid tier SaaS companies. Every ticket is a customer telling you exactly what to build next. Mine this. 9. The most interesting pricing problem nobody has solved is how do you price a product when your costs change every time OpenAI or Anthropic updates their model pricing? Your margins can swing 40% overnight based on a decision made in San Francisco. The company that builds dynamic pricing infrastructure for agent-based businesses solves a problem every AI company has. 10. The best AI products feel like they're reading your mind. The worst ones feel like filling out a form with extra steps. 11. An interesting arbitrage I've noticed lately is hiring a human VA for $20/hour to supervise an AI agent that does $200/hour work. The human just checks the output. 12. The managed AI agent business is becoming the new agency model. $5k/month per client. You build it, run it, maintain it. The client gets a digital employee they never have to think about. This will be a $50 B+ category. 13. The first "shadow agent" scandals are about to drop. Employees running personal agents on company infrastructure without telling anyone. Using company API keys. Agents accessing internal docs. IT departments have little visibility into this right now. Lots of opportunity to build companies here. Definitely a painkiller not a vitamin type of business. 14. Right now there are probably millions of agents running on autopilot that their creators forgot about. Still burning tokens. Still sending emails. Still scraping websites. Still costing money. The "find and kill your zombie agents" tool is a product that writes itself. 15. Companies are starting to hire based on someone's agent portfolio instead of their resume. "Show me 3 agents you built that are running right now." It's REALLY early but it's starting. 16. Your Slack archive is a product. Every company's internal Slack has thousands of messages explaining how they actually do things. The company that lets you point an agent at your Slack history and auto-generate SOPs and agents from it will be enormous. 17. We're watching the cost of intelligence fall faster than the cost of distribution. Which means distribution is now the expensive thing. 18. The most underrated asset a human can have in 2026: the ability to sit in a room with another human, make eye contact, and have a real conversation. As AI handles more of the transactional stuff, the humans who can do the relational stuff become disproportionately valuable. The soft skills people used to dismiss as fluffy are becoming the hard skills. The hard skills people spent decades acquiring are becoming the soft ones. 19. There are MANY huge companies to be built around the fact that most people's agents are running on their personal laptops which they also use to browse the internet, check email, and download random files. The attack surface is enormous. One compromised Chrome extension and your agent's API keys, customer data, and workflows are exposed. 20. There's a new type of burnout forming that doesn't have a name. It's not from working too hard. It's from context switching between human work and agent work 50 times a day. Reviewing agent output, correcting it, approving it, reviewing again. The mental load of supervising agents is different from the mental load of doing the work yourself. Some founders are telling me they were less tired when they did everything manually because at least the cognitive pattern was consistent. 21. The cheapest form of market research: search "[your industry] spreadsheet template" on Google. Whatever people are tracking manually is your product. 22. Half the YC companies pivoted within 8 weeks of demo day. Not because they failed. Because agents let them test 5 ideas in the time it used to take to test one. The concept of "committing to an idea" is dissolving. Serial pivoting is becoming the default because 1) AI lets you move fast 2) the world is moving fast. 23. The loneliest job in tech right now is being the only person at your company who understands what the agents are doing. You can't explain it to your boss. You can't hand it off to a colleague. If you leave, everything breaks. You've become a single point of failure for an entire automated system. That person needs a title, a team, and a backup plan. Most companies haven't figured this out yet. 24. Your browser history is the most valuable training data you own and you're giving it away for free. Every site you visit, every product you research, every competitor you study, every pricing page you screenshot. That behavioral data, structured and fed to an agent, would make it understand your business better than any onboarding call. The company that lets you turn your browser history into agent context builds something nobody can replicate. 25. Everyone is building AI wrappers. Nobody is building AI unwrappers. The tool that takes an AI-generated document and tells you which parts a human wrote and which parts were generated. 26. Stripe just became the most important company in the agent economy and they barely had to do anything. Every agent that sells something needs Stripe. Every agent that buys something needs Stripe. They're the payment rail for the entire agentic internet by default. 27. The most undervalued API in the world right now is the US Postal Service address verification API. It's practically free. Every local business lead gen agent needs it. Every real estate agent needs it. Every direct mail agent needs it. Boring government infrastructure is quietly becoming the backbone of agent-native businesses. 28. The concept of "business hours" is for humans. Your agent closed a deal in Tokyo at 3am, processed the payment, sent the onboarding email, and updated the CRM before your alarm went off. 29. What happens when agents start recommending other agents? Your research agent finds that a competitor's sales agent is better and suggests you switch. Agent referral networks are forming organically. The first agent affiliate program is probably 6 months away. 30. Cal dotcom closed their source code. That's the canary. When open source companies start closing up, it means agents were cloning their product too easily. Every open source company is quietly asking the same question right now. 31. "AI for pet groomers" sounds like a joke and that's exactly why it will work. 150,000 of them in America. Zero tech. All scheduling by phone or IG DMs. The joke ideas always win. 32. The thing that will seem most obvious in hindsight: we spent 2025-2026 arguing about which model is best while the entire value was in the orchestration layer. The model is the CPU. Nobody buys a computer based on the CPU anymore. They buy it based on what they can do with it. Makes so much sense in hindsight. What else will be obvious in hindsight? I'll share more notes soon. I can't sleep with all that's going on. Maybe you too. What an incredible time to be building.

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English Englishman from England
Source? Source? Source? Do you have a source on that? Source? A source. I need a source. Sorry, I mean I need a source that explicitly states your argument. This is just tangential to the discussion. No, you can't make inferences and observations from the sources you've gathered. Any additional comments from you MUST be a subset of the information from the sources you've gathered. You can't make normative statements from empirical evidence. Do you have a degree in that field? A college degree? In that field? Then your arguments are invalid. No, it doesn't matter how close those data points are correlated. Correlation does not equal causation. Correlation does not equal causation. CORRELATION. DOES. NOT. EQUAL. CAUSATION. You still haven't provided me a valid source yet. Nope, still haven't. I just looked through all 308 pages of your user history, figures I'm debating a glormpf supporter. A moron.
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