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Ivo

@IvoAI3

Founder of 4 newsletters. 4 exits. AI Analyst. My latest project, @TheUpsideAI - Join 400+ readers ⬇️

Katılım Ekim 2024
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Ivo
Ivo@IvoAI3·
This guy claims he's making around $500/day by giving ChatGPT his options criteria, letting it generate a trade idea, and following the setup. He pastes in basic inputs like trade price, strike price, stop loss… and the AI returns a full options position.....like a long Apple call. In one example, the next day the trade is up 21%. The interesting part isn’t the profit claim. It’s the shift in behavior. People are no longer “researching trades” the traditional way, they’re outsourcing the decision structure itself to AI. The real edge now isn’t picking stocks. It’s how you design the prompt that produces the trade idea.
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Ivo
Ivo@IvoAI3·
@X_FINALBOSS Im gonna write a article about this for @TheUpsideAI newsletter coming out tmrw morning. Good stuff 👍
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ALEX SUZUKI
ALEX SUZUKI@X_FINALBOSS·
IF I HAD A GUN TO MY HEAD AND WAS FORCED to make $20K/month selling ebooks online with AI in 30 days, starting from 0, here's exactly what I would do in 20 steps: Days 1–3: Build the content machine with AI 1. Find the #1 creator in a profitable niche (ecom, fitness, finance, dating) 2. Scrape their top 100 posts — already proven to get views 3. Feed them into AI and generate 300 posts in your voice in under 15 minutes 4. AI schedules 5–10 posts/day automatically via TweetHunter 5. At 7 posts/day that's 210 posts in 30 days. Even if only 2% go viral, that's 4 viral posts. One viral post = 50K–200K impressions minimum Days 4–7: AI builds your product in 48 hours 6. Prompt AI to write a 80–120 page ebook on your niche in under an hour 7. AI designs the cover, formats the pages, exports as PDF 8. AI writes the entire sales page and checkout page copy 9. AI builds your Whop or Gumroad store in 30 minutes 10. Price it $197–$497. Total cost to create: $0. Total time: 2 days. Days 8–20: AI runs the entire sales machine 11. TweetHunter's AI auto-DMs fire to every liker and commenter 24/7 while you sleep 12. AI writes the DM sequence : free lead magnet offer, follow up, pitch 13. AI generated the lead magnet too (short ebook or checklist, built in 20 minutes) 14. AI wrote every email in your follow-up sequence 15. Example: 1 post gets 500 comments → AI sends 500 DMs instantly → 150 click the free magnet → 8 buy your $297 ebook = $2,376 from one post, fully automated Days 21–30: AI scales what's working 16. AI identifies your top performing posts and generates 10 variations of each 17. AI writes a second upsell ebook at $497–$997 in 15 minutes 18. AI handles objections in DMs automatically 19. You're not doing anything manually at this point The conservative math: > 200 AI-sent DMs per day × 30 days = 6,000 DMs > 50% click AI-generated free lead magnet = 3000 leads > 1.5% buy $297 AI-built ebook = 45 sales * 25% take $497 AI-written upsell = 11 upsells * Total: $13,365 + $5,467 = $18,832 in 30 days That's the floor. One viral post can do $5K–$10K in 24 hours alone. Every product — AI. Every post — AI. Every DM — AI. Every sales page — AI. Every follow up — AI. Just set it once and collect. Comment "X" and I'll send you the full system.
ALEX SUZUKI tweet media
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Ivo
Ivo@IvoAI3·
IN @TheUpsideAI THIS MORNING, IT COVERED HOW A 17 YEAR OLD TURNED A $20 CLAUDE SUBSCRIPTION INTO A $30,000/MONTH AI APP. The idea is simple: He used AI to build a text to speech tool without writing the code himself. He asked ChatGPT to create the prompt, pasted it into an AI coding tool, and watched it generate the app in minutes. The tool was able to create features like different voices and voice settings, then deploy the product. A few years ago, building software meant learning to code or hiring developers. Now, the biggest advantage might belong to the people who can use AI to turn ideas into products faster.
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Myttle
Myttle@xmyttle·
the client is not buying a render they are buying the moment they can finally make a decision. that is why this kind of AI visual work is a real business. look at the workflow: a rough property photo goes in. then the same space gets tested as a renovated version, a cleaner layout, a different mood, a different buyer story. that used to be a slow back-and-forth with a studio. now one operator can turn the ugly first version into a client-ready direction before the meeting even happens. this is where AI fits in architecture. not the stamped drawing. not the permit set. not structural responsibility. the money is upstream: - concept visuals - renovation previews - moodboards - layout options - client decks - fast iterations before the expensive phase starts full-service architecture firms charge $15k-$80k. but the pre-design layer can be sold separately. show the client the version they cannot imagine yet. then hand the buildable work to licensed professionals. that is the wedge. not AI replaced architects. AI made the decision layer faster. full breakdown in article
Shadow Nick@doublenickk

x.com/i/article/2076…

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Cennes100
Cennes100@Cennes100·
YOUR VIBE CODED SITE LOOKS LIKE A TEMPLATE AND DEEP DOWN YOU KNOW IT. Most people vibe code a site, get some flat boring layout, and just accept it. They think “that’s just what AI-built sites look like.” Stiff, generic, zero movement. That’s the problem. They’re stopping one step too early. Here’s the actual mechanism - go to Spline first. It’s a tool packed with pre-made 3D animations, or you can build your own from scratch. Grab one that fits the vibe. I found a robot animation and ran with it. Then head to emergent.sh, drop in your prompt, and let the AI start building the site. The detail most people miss: you go BACK to Spline after that, export the animation, and paste that URL straight into emergent. That’s the actual unlock. Most people never loop back. What that one move does: • Codes the entire animated site in under 5 minutes, no manual work • Makes a vibe coded site look like it cost thousands, not zero • Turns a flat AI template into something that actually feels premium and alive This isn’t just “prettier website” territory. This is the difference between looking like a hobby project and looking like an agency built it. Most people use AI site builders to just get a site live. This setup uses AI site builders to make something clients would pay real money for. Once you see it, you can’t unsee how much cash is sitting in that one extra step. Follow: @Cennes100
Cennes100@Cennes100

x.com/i/article/2074…

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cvxv666
cvxv666@antpalkin·
Goldman quants realizing the Nobel laureate who runs Google DeepMind just gave their $650,000 seats a few short years before AGI runs the whole desk from a chat box
cvxv666@antpalkin

Demis Hassabis, Nobel Prize winner and CEO of Google DeepMind, just called it: AGI is a few years away. His exact words yesterday: "we are standing in the foothills of the singularity" Everyone's sharing the safety parts. Almost everyone skipped the one line that matters for your money: "10x the Industrial Revolution at 10x the speed" Run that math. The last Industrial Revolution minted Rockefeller - $400 billion in today's money, the richest man who ever lived. It took him 40 years of railroads and oil fields. Hassabis is telling you the next one compresses that into a few years, and it's made of software. And new money always shows up in markets first. No factories to build, no permits, no supply chains - just data in, positions out. The "recursively self-improving systems" he says the world isn't ready for? Early versions already trade against you every day. That gap between people who run them and people who don't is exactly what he means by 10x speed. He wrote this essay to ask for guardrails before the wave hits. Read it twice and you'll notice what it really is: the most credible man in AI telling you the wave is already visible from shore. Bookmark this. In a few years, "I read Hassabis in the foothills" will sound like "I bought Bitcoin in 2013" - and you'll want proof you were here. I write about this frontier every week - AI agents and what they're doing to markets. Follow me, stay in the AGI foothills.

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the lich
the lich@thelichhh·
A $2,000 DESKTOP RUNS 120B AI MODELS IN NEAR SILENCE. NVIDIA CHARGES DOUBLE FOR ITS ANSWER. A developer YouTuber spent 24 minutes stress-testing the Framework Desktop with AMD's Ryzen AI Max+ 395 inside. 128GB of unified memory. Enough to load models that choke a 4090. He ran his own prompt suite against it, the same one he uses on Mac Studio clusters. Under full load the fans stayed near silent. The part worth watching: he lines it up against machines that cost 2x and 3x more. The gap on screen does not match the spec sheets. Most builders still rent cloud GPUs by the hour to touch models this size. This box sits under a desk and runs them for a flat $2,000. He put the full prompt set on GitHub. Free. The cloud bill crowd finds out last.
Moysei@0xMoysei

x.com/i/article/2076…

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Nekt0
Nekt0@Nekt_0·
A $3K LANDING PAGE NOW STARTS WITH CLAUDE, A GITHUB SKILL, AND ONE MCP CONNECTION INSTEAD OF A DESIGNER BRIEF 00:01 he searches UI UX Pro Max on GitHub, opens Claude, installs the skill, connects Magic MCP, and asks for a landing page like it is a normal prompt. the result is not just "AI made a website." the useful part is the stack behind it. Claude gets design rules, UI patterns, component logic, and an execution layer before it starts building. one skill changes the job. no blank chat, no generic template, no guessing what good UI means from a single sentence. Magic MCP gives the model a better way to act. UI UX Pro Max gives it taste scaffolding. Claude turns that into pages like “Design is Everything” and “Launch Your Workflow Into Orbit” without starting from zero. the model is not the edge here. the harness is. a plain Claude prompt gives you a draft. Claude plus skills gives you a workflow. that is why this stops being "Claude killed designers" and starts looking more like every designer having to compete with someone who knows how to wire the tools together.
0xSlyth@0xSlyth

x.com/i/article/2076…

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wast3
wast3@0xWast3·
A MODDER GENERATED A FULLY DETAILED MINECRAFT WORLD IN UNDER 5 MINUTES USING CLAUDE FABLE 5 Most world generators still rely on fixed noise algorithms, spitting out flat, repetitive terrain no matter how big the seed is. He fed Claude Fable 5 a description of the biome layout instead, mountains, rivers, cave systems, and let it write the generation logic on the fly. Every chunk that loads in carries actual structure, ore veins placed with intent, villages positioned near water, caves that connect logically underground. Nothing in the world repeats the way procedural noise usually does, because the model is reasoning about placement instead of just rolling numbers. Scaling it up to a full map didn't slow it down, the same logic just runs across more chunks in parallel. See how the chunk generation actually works below👇
wast3@0xWast3

x.com/i/article/2074…

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Ernesto Lopez
Ernesto Lopez@ErnestoSOFTWARE·
Our app makes $50,000/ week between IOS and android. At this rate thats $200,000/mo This is the exact tool stack we use to rank #7 and beat companies That have millions in funding As a Bootstrapped team of 2 ✅ Rork: using fable 5 to update the app and quickly beta test it ✅ FunnelFox for doing web to app funnels and saving close to 30% of apples fees when running meta ads ✅ Higgsgield MCP: for running AI UGC and testing AI ads ✅ Amplitude: tracking all your apps analytics ( onboarding drop off and more ) ✅ Singular: MMP for ads ✅ Superwall: for collecting payments in app and a/b testing paywalls ✅ Claude Code: To build internal systems and tools ✅ Sideshift: To hire and pay creators Using these tools is non-negociable to building a generational app
Ernesto Lopez tweet media
Ernesto Lopez@ErnestoSOFTWARE

✅$25,000/week proceeds 🫶🏻$50,000/week next Crazy that $25,000 used to be our apps monthly revenue You can just do things

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HodlReaper
HodlReaper@HodlReaper·
A 23-YEAR-OLD TECH CREATOR JUST SHOWED HOW TO RUN FULL LOCAL LLMS ON A REGULAR PC. TechMakesArt dropped a clean TikTok breakdown on LM Studio. Zero internet needed. Download, load the model, chat privately on your own hardware. Viewers flooded the comments with real questions. GPU VRAM minimums. RAM sweet spots. How it stacks against alternatives. He answered directly: image generation works, multi-user setups are possible, chat history saves locally. The same account also covers 3D printing workflows, portable consoles, and electronics hacks. All practical, hands-on, home-lab style. No cloud bills. No data leaks. Full control. LM Studio turns any decent rig into a personal AI station. One laptop. One app. Offline models running now.
HodlReaper@HodlReaper

ZIMA BLADE DELIVERS A FULL AI WORKSTATION FOR $69. The original ZimaBoard 2 build was pure jank. One tiny computer with a PCI Express extension. A full-size GPU strapped on for fun. Dual 2.5 gigabit ports. It ran containers and home lab experiments but drew endless comments. Now the cheaper fix arrives. Zima Blade costs one third to one fifth as much. $69 base. $119 for the bumped processor. Same PCIe slot. Dual SATA for external drives. Interchangeable RAM. One Ethernet. Display output. Powered by any decent USB-C. Open the case. Click in the RAM. Plug in power, Ethernet, display. Boot to CasaOS based on Debian. Finish setup from another machine at casaos.local through the clean web UI. System status shows low CPU and RAM usage right away. Storage ready. Network live. This is the no-compromise entry point for home labs, self-hosted AI agents, and container stacks. Fanless aluminum body. Dual 2.5 gigabit ports. Full functionality without the monstrosity tax. The ZimaBoard 2 started at $339. This starts at $69.

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Charly Wargnier
Charly Wargnier@DataChaz·
✅ Claude Code ✅ Claude Cowork ✅ Claude Design ✅ Claude Finance ✅ Claude Science ✅ Claude Teacher ⬜ Claude HR ⬜ Claude Analytics ⬜ Claude Marketing ⬜ Claude Sales ⬜ Claude Legal ⬜ Claude R&D ⬜ Claude Procurement ⬜ Claude Accounting ⬜ Claude Engineering
Claude@claudeai

We're introducing Claude for Teachers: free access to premium Claude capabilities for verified K-12 educators in the US, with a library of teaching skills and a direct connection to evidence-based curricula, mapped to academic standards in all 50 states. claude.com/solutions/teac…

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wast3
wast3@0xWast3·
A SCRIPTER IS PLANTING ENTIRE ROBLOX FORESTS WITH CODE INSTEAD OF DRAGGING TREES ONE BY ONE Most builders still open Studio's terrain tool and hand-paint grass, then place every tree by clicking it into the world individually. He wrote a Luau script that reads the terrain height map first and scatters trees only where the slope and material actually make sense. Grass density shifts automatically too, thick near water, sparse on rock, without anyone painting a single texture by hand. He's running it through Studio's built-in Terrain Editor API, so the plugin handles the heavy terrain queries while his script decides what grows where. A biome that used to take a weekend of manual placement now generates in a single pass across the whole map. See how the placement logic actually works below👇
wast3@0xWast3

x.com/i/article/2053…

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Cryton
Cryton@crytonbuton·
@IvoAI3 @TheUpsideAI $500/day is the headline. Finding people who'll actually pay is still the hard part.
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Ivo
Ivo@IvoAI3·
IN @TheUpsideAI THIS MORNING, IT COVERED HOW PEOPLE ARE USING CLAUDE PROMPTS TO TURN THEIR SKILLS INTO DIGITAL PRODUCTS THAT CAN MAKE $500/DAY. The idea is simple: Tell Claude what you know, what problems you solve, and what people constantly ask you for help with. Claude can turn that knowledge into sellable product ideas, create the structure, identify customer problems, and help build the final product. No coding. No complicated tools. Just your experience, AI, and a way to package your knowledge. The biggest opportunity with AI isn’t just creating things faster. It’s turning what you already know into something people will pay for.
Insomnia@insomnia_vip

x.com/i/article/2076…

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slash1s
slash1s@slash1sol·
A $800 USED RTX 3090 JUST HUMILIATED NVIDIA'S $4,000 DGX SPARK ON LOCAL LLM SPEED Someone benchmarked 19 GPUs and found that the "AI-ready" flagships get destroyed by used gaming cards. VRAM decides what runs. Bandwidth decides what actually flies. Same 13B model, only the memory bus changed: 936 GB/s -> 19ms per token. 256 GB/s -> 70ms per token. 3.7x speed difference from bandwidth alone. The traps: > NVIDIA DGX Spark, $4,000, 128GB memory but only 273 GB/s bandwidth. > AMD Ryzen AI Max+ 395 mini PC, up to $4,000, 96GB unified memory at 256 GB/s. The actual value picks: > Used RTX 3090 -> $600 to $1,050 -> 24GB at 936 GB/s. > RX 7900 XTX -> $800 to $1,000 -> 24GB at 960 GB/s. The cores were never the bottleneck. The memory bus was, and the marketing has been lying about which spec to look at. The full 19-GPU ranking is in the article. Save this before you overpay for a "supercomputer" that cannot feed itself ↓
beamnxw ./@beamnxw

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Moysei
Moysei@0xMoysei·
A workshop in Vietnam filmed a $31,000 AI workstation build, and the on-screen price tag is the least shocking part. 800 triệu, roughly $31,000. The parts explain where it goes: a Gigabyte TRX50 AI TOP board built for exactly this, a Threadripper socket, rows of DDR5 RDIMM slots, PCIe 5.0 lanes waiting for a wall of GPUs. The build takes 3 minutes on screen and looks like watch assembly. Gloves, brackets, cable runs measured to the centimeter. The RAM slots are the quiet subplot. Filling a board like this became a race in 2026: DRAM contract prices jumped 90% in Q1 because AI datacenters eat the memory supply. The same build costs more today than the day this was filmed, and more next month than today. Machines like this used to live in datacenters with badge access. Now they get assembled in local shops for anyone tired of renting compute by the token, running frontier-class open models with nothing leaving the room. The camera ends on the finished tower, lit and idling. $31,000 sounds insane until you price 10 years of subscriptions for a whole team. Some people rent intelligence. This customer bought the building.
Moysei@0xMoysei

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PolySuccubus
PolySuccubus@polysuccubus·
This guy turned $49 into over $4,400 by trading only esports on Polymarket... and almost nobody is talking about him. I found this wallet today and spent a while going through the history. The account was funded with just $49.78 back in February. Since then he's grown it to +$4,405 profit traded more than $449,000 in volume, made 1,156 predictions with 55.1% win rate. What I like is that he doesn't trade everything. He sticks to Counter-Strike, Dota 2 and League of Legends and clearly knows those games inside out. His latest CS2 trades are a good example. He bought LEO at 57.2¢ to win the BO3 and 59.1¢ to win Map 2. Profit +$249 and +$164. His biggest single win is already $1,202, and there are plenty more green trades in his history. I found this wallet via Predict Parity, followed him, added it to my bookmarks and now I'm waiting for the next entry. Being able to track good traders and jump into the same markets from one terminal is honestly much easier than using Polymarket alone. If you're trading esports on Polymarket, this is definitely a wallet I'd keep on my watchlist.
Polymarket Counter-Strike@PolymarketCS2

Vitality open as favorites to win BLAST Bounty Season 2. 🏆 Traders give them a 29% chance, with Falcons and Spirit right behind at 24%.

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0xbobaa
0xbobaa@0xbobaaa·
this is a $4,329 RTX 5090 running at 96% load, 600W, 341 FPS it's touching 1.8GB of its 32GB of VRAM you didn't pay for the speed. you paid for the 30GB it never uses it launched at $1,999 in january 2025. the silicon is identical. the memory is not 16GB of GDDR7 cost a board partner around $70 per card in mid-2025. by december it cleared $200. memory is now over 80% of the bill of materials on a high-end GPU. roughly $820 of a 5090's street price is the chips alone here's the part nobody says out loud you're not bidding against scalpers. you're bidding against AI datacenters, and IDC projects they'll take ~70% of the world's memory output this year gamers didn't lose a supply war. they got outbid in one they were never invited to nvidia's answer, on july 9, was free collectible paper trading cards. fourteen designs. zero silicon now run the math reviewers skip 5090: 1792 GB/s at $4,329 = 0.41 GB/s per dollar used 3090: 936 GB/s at $1,050 = 0.89 GB/s per dollar a five-year-old card moves memory twice as cheap as the fastest GPU ever built bookmark this before the card everyone calls overpriced today becomes the one they call cheap in 2028
beamnxw ./@beamnxw

x.com/i/article/2076…

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Cas.Fyn
Cas.Fyn@FynCas·
Claude = 550 videos/day Fully realistic UGC ads, cinematic lighting, natural human motion, clean pacing, powered by AI agents. UGC cost: $1 Production time: minutes Scale: instant One AI engine that creates, tests, and scales short-form ads automatically, nonstop. RT & Comment ''Claude'' and I’ll DM you the full workflow. (Must be following)
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SCOTTY BEAM
SCOTTY BEAM@ScottyBeamIO·
THIS FRENCH GUY RUNS OPENCLAW AND HERMES AI AGENTS ON A HOMELAB THAT REPLACED GOOGLE DRIVE AND ICLOUD ENTIRELY ON JUST 10 WATTS The project: host his own local AI agents, OpenClaw and Hermes, ditch cloud storage subscriptions entirely by running his own NAS, and use the whole build to prep for his K8s certification – all running on 4 Raspberry Pis. Today's upgrade: a PoE module. One Ethernet cable now does two jobs – powers the Raspberry Pi AND gives it network access at the same time. No separate power adapters, no cable clutter, no juggling connections during maintenance. Total power draw for all 4 Raspberry Pis combined: max 10 watts. He's not renting cloud storage anymore. He's not paying monthly subscriptions for space he already owns the hardware for. His files, his AI agents, his data – all sitting on hardware in his own home, on a fraction of the power a lightbulb uses. Next up: blocking ads network-wide across his entire home, using one of the automation services running on the same setup. This is what "own your data" actually looks like when someone builds it instead of just talking about it. Bookmark this post. Full build in the video below.
SCOTTY BEAM@ScottyBeamIO

x.com/i/article/2066…

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