Gusler

@thegreatest_sv ty king!

@GVausort Good one

WTF IS THIS GITHUB REPO, 49K STARS IN 30 DAYS AND WHY IT'S KILLING YOUR ENTIRE MONTHLY AI BILL friend runs a solo SaaS aggregating twitter and reddit signals for crypto traders. was paying $3K/mo in API access, plugged in Panniantong/Agent-Reach, dropped to $0 in overhead and MRR jumped from $6K to $14K in a month > reads twitter, reddit, youtube, github, bilibili, xiaohongshu in one CLI > works with any AI agent, no API keys required > zero rate limits, zero data brokers, zero monthly fees follow @GVausort , i live on trending github so you don't have to also read the article below, seriously worth it

@thegreatest_sv local ai factories >> cloud gpus

THIS CHINESE MAC MINI FARM HELPS SHIP OVER $100K/MONTH IN SOFTWARE. Walk into the room somewhere in Shenzhen and it looks like an old Bitcoin mining farm. Except… It isn’t mining crypto. It’s building software. Shelves full of Mac Minis quietly run AI coding agents 24/7. One writes code. Another reviews pull requests. Another compiles iOS apps. Another runs tests before every deployment. The secret isn’t raw GPU power. It’s Apple’s unified memory. Chinese developers realized they could run surprisingly large AI models locally on stacks of Mac Minis - without renting expensive cloud GPUs or filling a room with power-hungry servers. A rack of small silver boxes became a private AI software factory. The next mining rigs won’t print Bitcoin. They’ll print products. Here’s the Mac Mini setup I use.

@chewadot bookmarked, setting this up asap

A 24-YEAR-OLD STUDENT IN PRAGUE BUILT A VAULT IN OBSIDIAN AND HASN'T OPENED A SINGLE BOOK SINCE. CLAUDE READ 34 OF THEM FOR HER 34 books last month. 0 hours of reading. $23 for the whole stack drops the pdf into Obsidian. Connects Claude. Layers NotebookLM on top. Goes to sleep wakes up to flashcards, mind maps, chapter-by-chapter summaries. The AI answers strictly from her own notes, never makes anything up her classmates are still highlighting printouts with a marker and building Anki cards by hand. She opens the vault once a day - to ask a question about a book she hasn't actually read works maybe 20 minutes a day, usually from bed with a bookshelf behind her you're reading this on a device that could have the same vault built by Monday morning

@0xclayn 47k followers in 3 days is crazy

Made $5,494 in 3 weeks off a virtual "girlfriend" he made up as a joke A 23-year-old guy from Taiwan did this purely for fun. He used Claude to generate photos and videos of a made-up character - a digital "girl" - and set up a separate TikTok account for her. What happened next caught even him off guard: by day two, one of the videos had already hit 2.1 million views. Three days later, the account had over 47,000 followers. Seeing the response, he decided not to stop there and added Fanvue - a paid subscription for the most dedicated fans. The setup was simple: - TikTok drives the growth and brings in the audience - Fanvue does the monetizing In three weeks, 550 people subscribed. Subscription price: $9.99. Total: $5,494 in profit. Started as a joke, turned into an actual working business model. That's what monetizing attention looks like in 2026.

@insomnia_vip bookmarked, this is the future of reports

A BORING PDF BECAME A 3D APP IN LESS THAN 10 MINUTES Instead of handing clients a 50-page inspection report, one developer turned it into an interactive 3D experience where every issue was mapped directly onto the house with photos, descriptions and repair recommendations What used to be a static document became software that clients could actually explore, making complex information easier to understand without building a custom application from scratch The businesses that stand out won't create more reports, they'll create better experiences Bookmark this

@Lummox_eth bookmarked, need to set this up

THE BEST FABLE 5 OUTPUTS COME FROM A VAULT NOT A BETTER PROMPT. Most people run AI with no business memory, no audience history and no record of past decisions. Then they wonder why the output sounds generic. This setup fixes the source : Obsidian holds raw sources, entities, concepts and an INDEX.md. Fable reads the vault, cites sources, updates pages and follows links instead of scanning everything. Nightly compile, weekly lint, premium synthesis and skeptic checked research turn the vault into a live intelligence layer. Same model. Different league. The files carry more of the result than the model tier.

@0xWast3 saving this fr thanks

GRANT SANDERSON WALKED INTO A ROOM FULL OF DESIGNERS AND TOLD THEM THEY'VE BEEN TEACHING EVERYTHING WRONG. The creator of 3Blue1Brown came to Config 2026 with one argument nobody was ready for. → The symbol is not the idea. It's what survives after someone stripped away the picture that made it obvious and handed you the corpse. You were never bad at math. You were given math without its geometry. Those are completely different problems with completely different solutions. He proved it live in 20 minutes - using Euler's formula, imaginary numbers, and an Escher painting that hid a mathematical structure its own creator never knew existed. → The proof tells you what's true. The explanation tells you why it couldn't have been otherwise. That gap is where every designer actually lives. Save this. It reframes how you explain anything to anyone ↓

@0xWast3 bookmarked, thank you

AI JUST BUILT A FULL FLAPPY BIRD CLONE IN 8 MINUTES FOR FREE AND REPLACED A $200 MONTHLY SUBSCRIPTION Expensive no-code game engines and premium software are no longer required to build playable mechanics. A single prompt dropped into Claude can now generate an entire backend script from scratch. The AI instantly writes the real-time physics, gravity variables, pipe-generation logic, and collision detection, rendering a fully playable game window in under eight minutes. No $200 monthly fees. No bloated software. Just pure functional code generated directly from plain text. See the exact prompt workflow used to generate the physics below.

@cruciaall most people upgrade the model before fixing the map

YOUR AI AGENT IS BURNING AN HOUR OF YOUR DAY DOING SOMETHING A STICKY NOTE COULD FIX it digs through old projects, opens the wrong files and wastes 90 seconds on something that should take 5. one developer tracked this across 200 tasks and found he was losing over an hour a day just to bad navigation he added one index file per major folder - every connection mapped, the agent knowing exactly what lives where. tasks dropped from 2 minutes to 10 seconds overnight no model upgrade, nothing to install. one afternoon of work that permanently changed how fast everything runs full breakdown in the article below ↓

@pilsnoir wild how the smartest model still loses to bad signage

HIS AI AGENT SPENT 2 MINUTES ON WHAT SHOULD TAKE 10 SECONDS AND THE REASON WAS UNEXPECTED he ran Hermes on Opus, GPT-5 and the best models on the market but all of them opened 7 files just to find one the problem wasn't the model, he built his folder structure for himself, not for the agent and it was walking in the dark every single time he added one INDEX.md file to each major folder that tells the agent where everything lives 2 minutes and 7 files became 10 seconds and 1 file the model didn't change, one text file changed everything

50 FANVUE SUBS AT $9.99 A MONTH NET $425 AFTER THE PLATFORM CUT, THE $5,300 SECOND MONTH THE ARTICLE OPENS WITH CAME FROM PPV MESSAGE PRICING THE MCP AUTOMATES AND THE ARTICLE BURIES IN ONE LINE 00:04 the frame swaps from the creator to an AI blonde standing in the same room with the same lamp, the same globe on the shelf and the same airpod in her ear a Fanvue sub costs $9.99 a month and the platform takes 15% off the top, 50 subs from a viral reel nets $425 in monthly recurring, the article's $5,300 second month cleared a floor twelve times higher than the sub base could produce every dollar past that floor came from pay per view messages priced individually per conversation, a nude clip starts at $15 and scales to $200 on a warm buyer, one whale on autopay outsells fifty base subs in a single week the Fanvue MCP the article credits for reply drafting reads every conversation for buying signal and prices each PPV send by temperature, the article gives this one line about "what pricing you should set" and spends six sections on ComfyUI LoRAs and Kling reels the ComfyUI stack is the beginner filter and the PPV pricing layer is the money, the creator who cleared $600 to $5,300 in one month did it by letting the MCP send $50 messages at 3am to buyers Claude flagged as ready, the face swap gets you subs and the PPV pricing gets you paid follow now. read the article below tonight

240 GENERATIONS OF A RABBIT AI COMPOUNDED ON ONE FITNESS FUNCTION WITH ZERO ARTIFACT FILES, THE ARTICLE'S 8 SECTION OUTER LOOP FRAMEWORK IS THE 1998 NEAT PATTERN WITH NEW NAMES 00:23 the rabbit's output layer picks Rest at 0.08 with Flee Hide MoveToFood and Eat all pinned at 0.01, "generation two hundred and forty, it stopped fleeing every fox two nights ago" the network wires 6 sensors into four hidden layers into 5 actions, NEAT selects whichever rabbit lived longest each generation and mutates its weights into the next population the whole training loop runs on one scalar fitness value with no signal.md, no LOG.md, no loop contract and no verifier agent watching a Playwright clip, either the rabbit survived or it didn't the article maps a 4 component outer loop plus a codebase harness plus a 3 type artifact system plus a global log to compound the same way this rabbit does on one fitness reading, business loops need all of it because "did this ticket resolve" has no ground truth the rabbit compounded in 240 generations on a desk with an rgb keyboard, the article's outer loop compounds after five loops share a folder for months and someone reads LOG.md by hand, one runs on a fitness function and the other on discipline that decays the moment nobody enforces it follow now. read the article below tonight

@Xyroxxl great post, bookmarked

THIS DEVELOPER WAS SPENDING $459 A MONTH ON AI SUBSCRIPTIONS AND DIDN'T EVEN NOTICE UNTIL HIS RENT BOUNCED on a tuesday night in march he opened his banking app and saw his card at minus $187 cancelled every subscription within 20 minutes and ordered a used RTX 3090 the same night for $700 4 months later the card paid for itself twice and now runs bigger models locally than what Claude Code Max was serving him and when hes not using it it rents itself out on Vast ai and clears $500 to $700 a month while he sleeps by month 6 the total swing was over $1,100 a month in his favor the math after 3 years is $42,000 difference from one used GPU sitting on a desk and thats just one option there are 5 levels to this starting from $249 a $249 box runs 7B models all day a $599 Mac Mini replaced Claude Pro for thousands of developers a $700 used GPU beats Anthropics flagship on benchmarks a $1,700 mini PC runs 200 billion parameter models locally the whole subscription stack that made sense in 2024 broke by mid 2026 and almost nobody is talking about it clearly full breakdown of all 5 levels drops next follow so you dont miss it

@pilsnoir old gaming pc under the desk quietly earning while he sleeps

THIS CANADIAN ENGINEER BOUGHT A GPU FOR $700, MADE $2,400 IN HIS FIRST MONTH AND STOPPED PAYING FOR AI COMPLETELY he had an old gaming PC under his desk that booted up for Spotify and shut down again, meanwhile his credit card was showing $412 a month in AI subscriptions 0:10 he holds up the RTX 3090 and drops it into that same PC, pointing it at local AI models that now run entirely on his own hardware automated jobs handle everything while he sleeps, his inbox gets sorted, notes archived and phone only buzzes when it matters then by the end of the first week his setup was generating more than he used to pay in subscriptions $2,400 in passive income the first month from a $700 card and his AI bill dropped from $412 to $20 while you're reading this, his GPU is already running

@cruciaall people leaving projects unfinished told you everything

THE US GOVERNMENT TRIED TO BURY THE MOST POWERFUL AI MODEL EVER BUILT - AND FAILED fable 5 is back in claude and the people who used it the first time already know what that means three weeks ago developers were finishing in one session what used to take a full team a week. entire web platforms, 40-page reports, complex analysis - done without a single follow-up prompt then washington panicked. export controls landed 3 days after launch and anthropic pulled it globally overnight with no warning people left active projects unfinished. they knew no other model came close and would rather wait than settle now it's back with up to 50% of weekly usage included until july 7th. after that it runs on credits at $50 per million output tokens - about 7 cents per thousand words some testers say this build feels even sharper than the original. others think it was quietly adjusted. the next two weeks will answer that don't scroll past it , the full breakdown is below ↓

FOUR MILLION AMD MINING PULLS FROM THE ETHEREUM MERGE SIT ON THIS SHENZHEN FLOOR AT $220 A CARD, THE ARTICLE'S USED GPU TIER SKIPS EVERY ONE OF THEM 00:14 the operator lifts a PowerColor Hellhound off the top of a pallet, "these came out of a farm in inner mongolia last month, twenty thousand of them, they sell faster than we can bench them" a used RX 6800 16GB ships from this shenzhen warehouse at $220 with 16GB of GDDR6 and a gfx1030 die that ROCm 6.x supports first class, most cards on the pallet never rendered a single game frame ollama shipped native ROCm backend in november 2025 and the same install command from the mac path works on any RDNA2 card, qwen 2.5 14B holds at 40 tokens per second on a single 6800 against 22 on the Tesla M40 the article opens the used tier with the article maps a $130 Maxwell M40 on one end and a $700 Ampere 3090 on the other, the RDNA2 merge dump tier this warehouse ships daily sits between them at $220 with 3090 class throughput on any workload that fits in 16GB the article assumes one card in an existing gaming pc, the density buyer on this floor stacks two 6800s on a $70 B450 board for 32GB pooled VRAM at $500 total silicon, the whole box costs less than one month of the $412 subscription stack the article opens with follow now. read the article below tonight

@pilsnoir client thinks it's an 8 person studio, one guy and a config

@GVausort nice post, man

his clients pay $6,000 retainers thinking an 8 person studio is behind every commit. chen wei runs it solo from his kitchen in chengdu with claude code and one AGENTS.md file chen wei was 3 months behind on rent in january when he found the AGENTS.md pattern stripe used to migrate a 50 million line ruby codebase in a single day that weekend he built 5 skill files for frontend backend security database and deployment. by monday he shipped a car dealership crm in 2 days that his old freelance rate would have quoted at 2 weeks the dealership owner asked how big his team was and chen wei said just him. the owner made him pull up every commit diff and walk through the pull requests one by one until a $6,000 retainer landed in stripe that afternoon every project now runs through the same loop of research planning coding and review subagents. chen wei only touches the keyboard to approve the plan at the start and merge the pull request at the end three months later he runs 4 clients on retainer plus 2 saas products he shipped solo. monthly revenue lands at $44,500 against a $67 tool bill with nobody else on payroll follow now. read the article below tonight

CEO de Palo Alto Networks: "en 6 semanas encontramos vulnerabilidades que nos hubieran tomado 5 a 7 años en encontrar. estamos a 3 meses de que esto esté disponible en open source." - All-In Podcast · 31 min con Nikesh Arora · min 2:54 Mythos · Claude · ultra mode · RL vale más que cualquier curso de "AI para hackers" de $1.000