Framez

@0xkvro @prophetmarketai Solving the counterparty problem is the actual hard part of prediction markets

The biggest problem in prediction markets was never pricing the bet. It was finding someone willing to take the other side. @prophetmarketai changes that. Instead of waiting for liquidity, an AI prices the market and acts as the counterparty immediately. Ask a question. Get odds. Trade instantly. For example: "Will Portugal win the 2026 World Cup?" The market is live the moment it's created. No waiting for another trader to show up. Just deposit USDC, choose Yes or No, and let the market resolve when the outcome is known. Prediction markets finally work even when you're the first person with an opinion. Not available in the US. Forecasting involves real risk.

@framexin Collapsing two full shoots into a single prompt update is wild

@0xFramez Turning a wardrobe change into a prompt update collapses two shoots into one

THIS GIRL JUST DID A COWGIRL OUTFIT TRANSITION AND HER ENTIRE WARDROBE CHANGE WAS A PROMPT. She starts in a cream top. Black bob. Warm room lighting. She picks up a brown cowboy hat, puts it on, looks at the camera. Then the cut. Same girl. Same room. But now it's a leather corset with lace-up studs, pigtails, dangling earrings, a gold choker, and the lighting shifted warmer. The whole "get ready with me" took zero seconds of actual getting ready. Pause at 0:03. Look at her hand reaching for the hat. That is the last frame of the first outfit. After that everything changes. Not just the clothes. The hair goes from a bob to pigtails. The earrings appear. The choker appears. The lighting drops warmer. A real transition video requires two separate shoots, two outfits, matched camera angles, and editing. This one required a prompt update. I'm not saying fashion transitions are new. TikTok has been doing these since 2020. But a fashion transition where the person does not exist and the wardrobe is generated and the lighting shifts to match the mood of the outfit is something most people haven't registered yet. They're watching this thinking "cute transition" and swiping. They're not asking who this girl is because the face never triggered a single suspicion. HERE'S WHY THIS FORMAT IS A MONEY PRINTER MOST AI CREATORS IGNORE. Fashion transition videos are one of the highest-engagement formats on TikTok and Reels. The audience replays to catch the cut. Every replay is a signal. Every signal pushes reach. And the format has a built-in loop: the audience asks for the next look. Cowgirl today. Gym tomorrow. Date night Friday. One AI persona can run an infinite content calendar because the audience tells her what to wear next and every outfit is a prompt, not a trip to the store. Pause at 0:09. Look at the corset stitching. Look at the stud detail. Look at how the pigtails catch the light differently than the bob did three seconds earlier. That level of wardrobe detail on a generated persona is what separates accounts with 500 followers from the ones clearing $800 per character. I build AI personas and this format is the one I keep coming back to. Not because it's the most technically impressive. Because it has the highest replay rate of anything I've tested. The viewer swipes back to catch the transition, watches the whole clip again, and the algorithm counts that as two views and longer watch time. One 13-second clip doing the work of three separate posts. Brands pay $600 for the build and $199 a month to keep a persona running this exact format without hiring a model or booking a studio. The creator behind this clip made a full wardrobe change by editing one line in a prompt. Watch it again. Count how many things changed between second three and second four. That's the whole pipeline.

@crimson_moti One person and one pipeline replacing a full production day is the real shift

A GIRL WITH PINK HAIR IS PADDLEBOARDING IN THE OCEAN AND SHE IS WHY YOUR AIRBNB LISTING IS DEAD. She sits on a turquoise board. Pink hair in the sun. Black bikini. She runs her hand through her hair, stands up with the paddle. The whole clip looks like a $3,000 production day in the Caribbean. It wasn't. She does not exist. And the person who generated her charges less than the cost of parking at that beach. Pause at 0:04. Look at the muscle definition on her back. Look at the water reflections on her skin. That is not a vacation video. That is a listing asset. And this article breaks down how one operator turned this kind of content into $12,900 a month staging Airbnb homes without ever booking a photographer. HERE'S WHAT MOST PEOPLE WILL SCROLL PAST. The operator runs a full book of short-term-rental hosts. Six tools. Eleven hours a week. Every host knows their photos are the reason bookings stalled but none of them want to reshoot. So the operator generates the entire visual identity from scratch. Staging. Lifestyle shots. Property tours. One person with one pipeline generating clips like the one above. Pause at 0:07. The wide shot from behind. Turquoise board on calm water. Put that in a beach condo listing next to every other host's iPhone photos from 2021 and the click-through difference is not even close. The modeled ceiling is $12,900 a month. Every US market has a stack of properties with dead photos and every one of them is one better image away from a booking they are currently losing. This girl with pink hair on a paddleboard is that image. And the person who made her doesn't own a camera. Watch the clip. Then open your nearest Airbnb listing. That's the gap.

@framexin A three week old account farming millions of views off fake leaks says a lot

@Dexonfxf The augment developers instead of replace them framing is why Cursor actually stuck

25 YEARS OLD. $50 BILLION VALUATION. ONE AI TOOL CHANGED EVERYTHING While most 25-year-olds were still figuring out their careers… Michael Truell and three MIT classmates were building Cursor. An AI coding assistant that’s now becoming one of the fastest-growing software companies in history. Here’s how they did it 👇 In 2022, the four MIT students started with one simple idea: Developers spend too much time writing repetitive code. Instead of replacing programmers… AI should help them build software faster. That idea became Cursor. An AI coding assistant that understands your codebase, writes new features, fixes bugs, and helps developers ship products much faster. Then something unexpected happened. Developers didn’t just like Cursor. They started using it every day. Companies quickly followed. The growth was explosive. • Founded by 4 MIT students • Launched in 2022 • Used by millions of developers • Trusted by 50,000+ companies, including Nvidia, Adobe, Uber and Shopify • Reached $500M+ ARR • Raised funding at a $9.9B valuation, with reports later valuing the company at around $50B as adoption accelerated. Today, Cursor has become one of the defining AI companies of this generation. The biggest lesson? They didn’t try to build another ChatGPT. They built a tool that saves developers hours every single day. Sometimes the biggest AI opportunity isn’t replacing people… It’s making the world’s best professionals dramatically more productive. Follow @Dexonfxf for more real AI founder stories 🚀

@lag1r Taking equity over a guaranteed check when everyone else wanted certainty is the whole lesson

50 Cent was offered $5 million to be the face of a struggling vitamin drink. he asked for equity instead. three years later Coca-Cola bought the company for $4.1 billion and he walked away with a reported $100 million. but the part nobody talks about is what he did in between. while employees at Glacéau were quietly selling their stock options - cashing out early, not wanting to wait for a payoff that might never come - 50 was buying them. he sat across from people who worked there every day and took the equity they no longer believed in. they wanted certainty. he wanted the upside. Vitamin Water's revenue went from $100 million to $355 million to $700 million in three years. 30% of the entire enhanced water market. I took quarter water, sold it in bottles for two bucks. Coca-Cola came and bought it for billions, what the fuck? the $5 million fee would have been the biggest endorsement check of his life. it would also have been a 20x mistake. everyone in that building had the same shot he did. he was just the only one who understood what he was holding ↓

@AnatoliKopadze Payments inside iMessage closes the last gap between agent and actual transaction

The single feature every agent builder has been waiting for just shipped:

@kardinall Yeah, they pack a lot of useful ground into one session

@0xFramez They talk about a lot of interesting stuff there

Anthropic just released a free 59-minute masterclass on Claude Code. Not a tutorial from some random creator. This is Anthropic themselves showing how they actually use their own tool. · 00:00 – From autocomplete to full agentic coding · 04:50 – How the agentic loop actually works · 14:07 – CLAUDE.md as persistent project memory · 26:53 – Why you should always start with Plan Mode · 33:31 – Live task: from brief to commit on camera · 54:46 – Skills vs CLAUDE.md and when to use each Most developers still use Claude Code like a smarter autocomplete. This course shows how Anthropic uses it to plan, execute, test, and ship entire features. One hour that replaces every paid Claude Code tutorial on the market. Bookmark it.

@kv1nsiii Same, easy to miss that these are just sitting there for free when half the timeline is repackaging the exact same material into paid courses, worth grabbing before it turns into someone's $500 masterclass

@0xFramez didn't know this was free

@theSethian Agreed, first-party walkthroughs skip the guesswork, you're seeing the intended workflow straight from the people who know the sharp edges instead of a creator reverse-engineering it and getting half of it slightly wrong

@0xFramez Yeah, videos from the people who built the product are always worth watching.

Worth flagging this one has the classic betting-tout shape, the it's not variance, it's a repeatable edge framing plus a copy-my-picks referral link and a closing window is exactly the urgency setup these accounts run, and consistent match after match is usually survivorship, you're seeing the winning streak that got screenshotted, not the accounts that flamed out

screenshotted this before posting because i genuinely didn't believe the numbers on first look check the profile yourself, i'm not going to sit here and describe stats when the receipts are right there what stands out isn't even the total, it's how consistent the pattern is match after match, that's not variance, that's someone who found something real and keeps running it i copy him on stride now, every position mirrors automatically the second he opens it, i'm not even watching the games he's in quarterfinals aren't done, this window to get in early is closing betonstride.com/r/9cgqkvc

@cipgerx Clean but generic is the perfect diagnosis, a short prompt leaves every real decision to the model so you get the average of everything, structuring it as a shot plan just moves the directing back to you where it belongs

Your Seedance prompt is not too short It is forcing the model to direct the entire scene by itself A regular prompt gives Seedance an idea: “Crystal dolphin jumping over an ancient fountain.” Then the model has to guess everything else: camera movement, framing, lighting, speed, atmosphere, depth and final composition That is why the result often looks clean but generic A structured JSON prompt turns the same idea into a shot plan: • what appears first • where the camera starts • how it moves • when the subject enters • where the light comes from • how the environment reacts • what the final frame should look like Same model Same concept Far fewer decisions left to chance My current workflow: Write the scene in one simple sentence Split it into subject, environment, camera, lighting, motion, mood and color Add the order of events inside the shot Convert everything into JSON Generate variations and finish the strongest one with sound and color JSON is not the creative part It simply stops Seedance from guessing what you forgot to direct Save this before your next generation Tomorrow I’ll post the exact JSON structure you can fill in and paste into Seedance 2.0 in under two minutes

@caesar_aii Agreed, it quietly solves the context problem more than any clever prompt does, since a good claude md file means you stop re-explaining your stack every session and the output actually stays consistent across a project

@0xFramez claude md is such an underrated feature

@Skaly__Bull Every prompt please reply being free market research is the clever part, the fake dish isn't the product, the comment section is, and the audience is basically crowdsourcing what bait to generate next without realizing it

The dish in this video is fake The comment section is not and that's the entire business model Nobody making this cares whether you believe the food is real They care that you type a comment the algorithm counts as engagement, full stop Every "prompt please" reply is free market research on what fake dish to generate next None of it required a kitchen, a camera, or one real ingredient The only thing anyone actually wants from this video is the prompt The dish was bait The comment section was the funnel

@theSethian The marketing was already inside the game is the sharpest line here, when the fun is inherently clippable and shareable the players do the distribution for you, and players mining an opacity trick out of the color picker is exactly that loop working

A $5.99 hide-and-seek game sold 15 million copies in under a month. Meccha Chameleon lets players paint their characters to match walls, floors, and furniture while the other team hunts them with shotguns. The guy in the video found an opacity control buried inside the color code: > open the RGB palette > choose a slightly darker color and find the final "FF" > replace it with a value between 5 and 50 > paint over the same areas with the new opacity Players are already turning a tiny color picker into a competitive system. The article below covers the two developers behind it: they reused systems from earlier projects, had a playable build almost immediately, and answered a rough playtest with three new maps in the final 14 days. The marketing was already inside the game: learn a trick, hide better, clip it, send it to friends.

@0xWast3 The shift from asking to describing a whole system is real, though the running application part is where it usually gets messy, deploy and connect to your environment is exactly where the one prompt demos quietly break

@kobaHUB Two devs hitting 100M with no marketing off pure shareable chaos is the kind of story that quietly kills a lot of over-planned roadmaps

Two guys. Two months. Zero marketing budget. 100M$+ in revenue. That's the story of Meccha Chameleon - a game where you paint yourself to blend into walls, floors, furniture... and hide from hunters with shotguns. Sounds simple. It's chaos. Release week alone: 340K+ concurrent players, one of the biggest indie peaks in Steam history. Ten million copies in 16 days. Over 15 million by July. All from two Japanese devs, lemorion_1224 and Haganeiro, with no big studio behind them. Their approach wasn't master planning - it was "build it now, fix it later." They skipped the endless design docs and had a playable version running within a day of the idea. Two weeks before launch, playtesters said it felt repetitive. Instead of panicking, they cranked out three new maps in 14 days - now fan favorites. No ad budget. No influencer deals. Just clips of people melting into walls that got shared until the whole internet was watching. Sometimes shipping fast beats shipping perfect.

@noisyb0y1 The 40 lines replacing 10 engineers claim always needs an asterisk, it works great in the demo and then reality adds the other 4000 lines nobody films

Microsoft engineer leaked for free a 30-minute guide on how to build an AI product from scratch and save $30,000 for solo developers: 00:19 - Microsoft agent that starts acting on its own 04:55 - 40 lines of code replace 10 engineers 08:49 - AI controls all internal processes by itself This talk gives you for free what Microsoft charges $10,000 an hour for in private workshops. Bookmark it & watch today. Then read the step-by-step guide below.