nickelangelo

@RetroChainer Every platform rewards novelty

$23,000 a month from 20 videos. The channel never filmed a second of real football. GojosFootball runs on absurd AI clips. Messi steals a car made of watermelon. Ronaldo builds a tank out of oranges. 70 million views on twenty uploads. Why it survives where the clip-stealers die: The footage is generated, not downloaded. Content ID has nothing to match. You own the pixels. The faces do the rest. Ronaldo and Messi light up the recommendation engine, retention stays high, the algorithm keeps pushing. The pipeline: Artlist AI generates the stills. Hyperreal players in ridiculous places. Image-to-video turns them into one-to-five-second scenes. CapCut cuts the Short. Punchy captions, SFX, a pace built to hold the scroll. The edge was never the footballers. It's that nobody can copyright-claim what you built from scratch.

@polydao Simplicity scales surprisingly well

A KOREAN PHD STUDENT PARSED 7,944 CLAUDE CODE SKILLS FROM GITHUB AND PROVED 33% OF THEM COST YOU MORE THAN NO SKILL AT ALL most public plugins bloat the system prompt, trigger model drift, and waste api costs on simple coding tasks but optimized claude skills are the ultimate cheat code for builders right now - if you filter out the trash: > obsidian vault - stores only your curated, verified skills as simple markdown files > hermes agent - dynamically manages execution, runs tests, and logs errors to auto-correct mistakes > Claude Opus 4.8 - reasoning engine that executes complex tasks using the filtered stack without context rotation this stack is how solo developers use this free ai agent framework to build $5,000/month automation agencies: > packaging and selling custom verified skill vaults to local businesses > delivering backend integrations 5x faster than a full team of engineers > charging clients high-ticket setup fees for custom autonomous agents that actually work your weekend project could change what monday looks like save this before you open claude code today 👇

@starmexxx The smart home space is evolving fast

A LOCAL LLM IN A $40 BREADBOARD ROBOT KILLED GOOGLE HOME, ALEXA AND $200/MO AI SUBSCRIPTIONS home assistant is a free open source platform that runs entirely on your hardware. okay nabu replaces hey google with a local voice assistant that controls timers, lights, music and scripts a local llm pipeline adds reasoning on top. ask "do i need a coat today" and it reads your actual weather sensor data and gives a tailored answer instead of a generic forecast you can say "turn off all the lights except the kitchen" and the llm parses the command into home assistant actions. complex requests work the same way as basic ones with zero cloud calls the voice preview edition replaces the google home hub for $50 and runs okay nabu locally. an esp32 cyd display with esphome handles timers and dashboards for under $20 a glados personality on a custom voice runs on the same hardware. nothing leaves the house, no subscription bookmark this and read the article below

@antisadh Owning the infrastructure feels different

ONE USED RTX 3090 FROM A MINING FARM LIKE THIS REPLACED A $440/MONTH OPENAI BILL FOR $11 IN ELECTRICITY mining farms across texas and oregon are quietly winding down after the kaspa drop, racks of used RTX 3090s flooding ebay at $500 a card, the same hardware that mined crypto in 2021 now runs local AI tyler grabbed one off a farm liquidation sale in austin last sunday, 24GB of VRAM, EVGA founders edition, plugged it into his desktop tower the same night the card runs alibaba's qwen 3.6 27B at 40 tokens per second, the model scores 84.1 on vision benchmarks against claude 4.5 opus at 77, both numbers public and verifiable he was paying $440 a month across claude code, chatgpt pro, gemini and cursor, cancelled all four the same week, every workload now runs through ollama with one environment variable change total ongoing cost $8 a month in electricity, the card pays for itself in 3.5 months, the rest of the mining farm gets sold to the next 200 developers chasing the same math the window is open, follow and bookmark before it closes

@rostikdeni Systems beat prompts every time

CLAUDE CAN BECOME A SMALL OFFICE TEAM WITHOUT CHANGING THE MODEL You can use Claude in a different way: not as one giant chat where every task starts from zero, but as a set of narrow workers with their own workflows, commands, and tool connections A sales plugin knows how to prepare a call, research an account, look at pipeline data, and shape outreach A data plugin knows how to write queries and check results before they become a dashboard, a marketing plugin can run an SEO audit, read channel performance, and work inside the tools the team already uses That is the shift Claude is no longer carrying every job as one generalist. The setup gives each role its own memory, process, and tools, so the same subscription starts feeling less like a search box and more like a small operating team The full guide breaks down how to install the repo and build the first worker ⬇️

@kingwilliam_ That's a huge shift in how people work

THE HEAD OF CLAUDE CODE SHIPPED 49 FEATURES IN 2 DAYS WITHOUT WRITING A LINE BY HAND he hasn't typed code by hand in months, he just directs Claude and reviews. the gap between him and everyone else isn't talent, it's setup. a skill is one file that teaches Claude your voice, your stack and your standards one time. it fires on its own in every session after that, so Claude shows up already knowing the job. set up three this weekend and Claude stops being a chatbot and starts working like a team. the full breakdown of all 23 is in the article below.

@ailirone The best prompt might be a scheduled task

Anthropic engineers asked a simple question: Why are people paying for Claude 24/7 and only using it when they're awake? Most users never go past the chat window. No /loop. No scheduled tasks. No Routines. No automation. In this guide, they break down the full stack: /loop Desktop tasks Auto Mode Cloud Routines The result? Claude reviews code. Monitors GitHub. Writes reports. Tracks issues. While you're doing something else. The biggest Claude upgrade isn't a better prompt. It's making Claude work when you're not.

One of the most expensive habits is constantly looking for the next thing. The next app. The next strategy. The next opportunity. Meanwhile the tools, relationships and opportunities you already have are sitting there underused. Most people don't have an information problem. They have an attention problem. They're always looking for what's next before fully using what's already in front of them.

@andreysuperior A laptop and a good system can go a long way

A guy put a mini PC on his desk and runs a wall of faceless YouTube channels from it. The box is the size of a paperback. Sits next to his coffee. He plugged it in and that was it. Now every channel on his screen uploads on schedule without him. He doesn't film. He doesn't edit. He doesn't even open YouTube most days. He says one channel lands him around $8,000 a month. He scrolled past dozens just now. The box paid for itself in 3 days. His rent is now fully paid by a box on his desk. The crazy part is regular people are quietly becoming media networks. Save this, you are watching the next gold rush hit the home office.

@de1lymoon Critical thinking was always the real skill

Anthropic CEO Dario Amodei, building a $965B company, on whether you should learn to code now: coding itself is the dying skill. the real edge is critical thinking. his words on what stays valuable: "tasks that are human-centred, tasks that involve relating to people." don't compete with AI. build around it. - writing the code building the agent is the part getting automated - which is exactly why a working agent is worth $0 on its own - the money is in the human part: find the buyer, sell the outcome 9 min, free, worth more than a $500 building course

@ventry089 Competition is great for everyone

Оpen source AI just outperformed every major lab. not in one category - across the board. image generation - Ideogram 4.0 became the number one model in the world by benchmarks. beat Midjourney, DALL-E, every closed model. first generator that renders readable text on images - logos, posters, signage, every letter in place. native 2K resolution, photorealistic detail. open weight, free, download and run it yourself. AI voice - Chatterbox beat ElevenLabs in blind listening tests. 64% of people chose the free model without knowing which was which. clones a voice from 5 seconds of audio. coding - 100,000 people are already running Claude Code for free through Ollama. same terminal, same commands. $200 a month turned into zero. Midjourney raises prices to $30. ElevenLabs charges $22. Anthropic charges $200. and open source releases free versions that beat them in blind tests and benchmarks. the pattern: paid tools grow in price. free tools grow in quality. in 2026 the lines crossed.

One of the weirdest things about technology is that most people notice it too late. When something is expensive, everyone talks about it. When it becomes cheap, almost nobody notices. A few years ago having access to world-class AI required massive infrastructure, expensive subscriptions and resources most people simply didn't have. Now some of the same capabilities are available to anyone willing to spend a weekend learning. The biggest opportunities rarely appear when something is new. They appear when something powerful becomes boring.

@noisyb0y1 The real moat is accumulated knowledge

THIS OXFORD STUDENT CONNECTED OBSIDIAN TO KIMI AND LET THE BRAIN DO ALL HIS HOMEWORK - NOW MAKES $3,000/MONTH FROM CLASSMATES vault connected to Kimi K2.6 via MCP - every lecture note, every paper, every past exam feeds into the base automatically one prompt before each assignment - 300 agents scan the entire vault, find relevant research, cross-reference lecture notes and return a structured answer in his own style via Document to Skill practical assignments: agent pulls his previous work, matches the format his professor expects and generates the submission with citations from his actual notes classmates pay $50-100 per session for the same output - he runs their materials through the same pipeline and delivers in hours what takes them days Smart Connections finds semantic links between notes automatically - two papers on the same topic get connected even if he never linked them manually every result saves back into the vault - next assignment starts smarter than the last Obsidian free, MCP server open source, Kimi API costs cents per run - and classmates keep paying because the output is better than anything they produce manually

@s4yonnara The last line says it all

Anthropic's Claude Code creator Boris Cherny just showed how he actually uses his own tool. Most developers are doing it completely wrong. The gap between basic and advanced use is massive: Don't start with coding. Start with codebase Q&A to understand the project fast. Always ask for a plan before it writes a single line. Quality jumps immediately. CLAUDE.md is the secret weapon. Project rules, architecture, code style, no repeated mistakes. Connect CLI tools and MCP servers. It becomes part of your actual team workflow. Give it Puppeteer access and it tests, finds bugs, fixes them on its own loop. Shift Tab = auto-accept mode. ! = direct bash. # = memory. Esc = stop. It's not autocomplete. It's a full agent that runs in any IDE or terminal. Why CLI? Boris says terminal is the lowest common denominator. Works everywhere, no IDE lock-in. The developers getting the most out of it aren't prompting harder. They're setting up context better. Watch the full video and read the article below.

@xmyttle The knowledge graph angle is interesting

THIS IS HOW A $10K WORLD-BUILDING OFFER STOPS LOOKING LIKE A GOOGLE DOC HY-World 2.0 does not just make a pretty AI clip. it turns an input into a 3D world you can actually move through. that is the shift. most clients do not need “an idea”. they need the thing a team can build from: - characters - factions - locations - rules - timelines - visual direction - a world that stays consistent after page one the old version took a studio room. writers, artists, lore designers, concept people, months of back-and-forth. the new version looks more like this: > map the lore into a knowledge graph > turn the graph into a World Bible > generate the playable 3D direction > populate it with agents that have goals > hand the client a universe their team can use that is why this becomes a real offer. a complete world system for an indie game, TTRPG, author, or film team. $5K-$15K for the bible. more if the world becomes interactive. the creator who wins here is not the one with the weirdest prompt. it is the one who can turn a messy idea into a universe other people can actually build inside.

@polydao The win rate is wild if it holds up

+$9,670 ON WEATHER MARKETS. 92%+ WIN RATE. THE BOT THAT NEVER SLEEPS this trader has been running the same play for 5 months straight > temperature markets. dozens of cities. every single day. automatically the strategy: > find city temperature markets with extreme mispricings > yes at 0¢-5¢ (outlier temps) or no at 97¢-99¢ (fading consensus) > enter 36-48 hours before the market resolves > hold to expiry - weather markets are binary and there's nothing to manage > repeat across dozens of cities simultaneously Tokyo, Sydney, London, Paris, Rome, Singapore, Berlin, Seoul - all running in parallel the edge: systematic arbitrage against sentiment-priced forecasts > the bot scans for mispriced extremes against real forecast models (noaa, meteoblue) > fires micro-sized entries ($10 median size) to stay under the radar > june volatility (heat domes, storm systems) repriced dozens of positions overnight > $258,000+ volume. $9.67K+ PnL. ~35-40 trades per day. this is a trading agent, not a human - backtest over last 3,886 trades: > $10 fixed copy mode -> +$910 on $2,000 deployed (45.5% ROI) > 96% win rate, max drawdown 23.3% note: swing hold (1.5 days avg) is longer than typical weather scalps but yields a higher accuracy go track it yourself: [ @liddoair?via=0" target="_blank" rel="nofollow noopener">polymarket.com/@liddoair?via=0 ]

@0xSpivach This feels like a glimpse of what's coming next

A Japanese farmer with zero engineering background automated his 250 acre farm. He used ChatGPT and Codex. Automating an operation this size usually requires expensive machinery. It requires specialized engineers. Hiroki Tomiyasu did it himself. His story was simple. He was a former public servant who taught himself to farm. Now he runs a massive agricultural operation in Hokkaido. Farming at this scale is brutal. It is operationally complex. Instead of spending millions, he treated AI as his elite in-house engineer. He uploaded photos of his fields. AI diagnosed crop diseases in seconds. He built a custom bot. It controls his greenhouse vents remotely through a messaging app. He pulled satellite vegetation data. He mapped it over his own fields to monitor crop health. Then he looked at his tractors. He learned about GPS auto steering. He built his own automated tractor system at a fraction of the cost of buying a commercial one. He still grows broccoli. He still oversees hundreds of acres. He still runs the farm. But the complex engineering duties have already changed hands. The takeaway is massive. AI is no longer limited to tech hubs. It is spreading to rural corners of the world. It is giving people access to elite engineering skills. The barrier to building complex systems is forever gone.

@0xTria 30-40 clips a day is serious volume

A Chinese creator shared the 5 AI tools he used to build an AI content factory that makes him $12,545/month. The system is simple: he records one basic video of himself, then turns it into dozens of different versions. One tool replaces the person in the frame. PixVerse adds cinematic effects. Gemini adds another character next to him. Runway changes the outfit. MiniMax changes the voice. So one video becomes a product demo, a dating ad, a fashion try-on, a beauty commercial, and a fake influencer clip. He says the best-performing videos are not the most realistic ones. They are the ones where people stop scrolling because something feels slightly impossible. Now he posts 30–40 clips a day across different accounts. Some sell phone cases. Some push skincare. Some promote apps. Some are just used to grow pages and resell traffic.

A GAME STUDIO WAS ABOUT TO SPEND $50,000 ON WORLD-BUILDING Then someone showed them a document generated over a weekend. Hundreds of pages. Every character connected. Every location mapped. Every conflict explained. Enough material for writers, artists and developers to work from immediately. The world wasn't smaller. The team was. For the first time in history, one person can create at the scale of a studio.

@leopardracer No API bills is a beautiful thing

HE JUST KILLED HIS BLENDER SUBSCRIPTION STACK WITH A $700 EBAY GPU local qwen 3.6 27b generating blender geometry nodes, 30-50 tokens per second, nothing leaves your machine and nothing costs money per request broke even in 3.5 months, saves $4500 over two years vs subscriptions full breakdown of how to replicate this stack below