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Free OBS plugin for WARDOGS streamers: - Auto POV switch when you're downed - Full-screen instant replay - Live session stats on stream - Dual POV window - Auto clips, Twitch markers, YouTube chapters

70,765 просмотров • 18 дней назад •via X (Twitter)

Комментарии: 50

Фото профиля nAnomaly
nAnomaly18 дней назад

@OBSProject @WARDOGS damn your steam must be so unentertaining that you need to make it look like an esport final lmao 😭

Фото профиля Andrew Philippou
Andrew Philippou18 дней назад

@OBSProject @WARDOGS This is the foundation for actually being able to run WARDOGS esports tournaments. I create tools for streamers, I'm not a streamer myself.

Фото профиля Hova
Hova18 дней назад

@OBSProject @WARDOGS Did it mess up at 0:43 when it deducted $9000 for a purchase in the middle of a gunfight? Not hating just curious. Been looking for a way to track match earnings during the match.

Фото профиля Andrew Philippou
Andrew Philippou17 дней назад

@OBSProject @WARDOGS This was a demo using gameplay so the overlay data was added post but it functions correctly live.

Фото профиля SK1DWRKS FTD
SK1DWRKS FTD17 дней назад

@OBSProject @WARDOGS I’m gonna join the discord an read up on how to download eveything an all that I might have to give this a try Looks really clean

Фото профиля RG | The Real Smaw
RG | The Real Smaw18 дней назад

@OBSProject @WARDOGS BUT will it improve @thisistheray k/d ratio?

Фото профиля Andrew Philippou
Andrew Philippou18 дней назад

@OBSProject @WARDOGS @thisistheray If you don’t track it you can’t know if you are getting better 😂😂

Фото профиля RG | The Real Smaw
RG | The Real Smaw18 дней назад

@OBSProject @WARDOGS @thisistheray 🤣🤣🤣🤣🤣🤣🤣🤣🤣 yo Ray you have to admit that was funny tho @thisistheray

Фото профиля BrokenArrow
BrokenArrow18 дней назад

@OBSProject @WARDOGS Could this get people banned for cheating?

Фото профиля Andrew Philippou
Andrew Philippou18 дней назад

@OBSProject @WARDOGS It’s not doing anything with the game. It reads your screen using OCR in OBS. Doesn’t interact at all.

Фото профиля BrokenArrow
BrokenArrow18 дней назад

@OBSProject @WARDOGS Thanks for the quick reply

Фото профиля j9y
j9y18 дней назад

@OBSProject @WARDOGS @BadKidWZ

Фото профиля Joey Statham
Joey Statham16 дней назад

@OBSProject @WARDOGS Lmao and people are wondering why they are getting banned. Anything auto. Ban. As it should be.

Фото профиля Andrew Philippou
Andrew Philippou16 дней назад

@OBSProject @WARDOGS This is just to control your broadcast. Has nothing to do with game….

Фото профиля Joey Statham
Joey Statham16 дней назад

@OBSProject @WARDOGS Yes but the devs have stated this stuff will get you banned. Doesn't matter what its for if its auto doing anything the game will flag it and youll be banned. I promise.

Фото профиля Andrew Philippou
Andrew Philippou16 дней назад

@OBSProject @WARDOGS It doesn’t even touch your game are you alright? Can you not comprehend it doesn’t even interact at all with the game. It’s a control software for OBS.

Фото профиля Joey Statham
Joey Statham16 дней назад

@OBSProject @WARDOGS Lmao your so confident that only you know what your talking about. Good luck bud. Literally go read what the devs talk about in the comments of other posts. This shit. Is getting people banned. Its not my opinion. The devs said that is what is happening

Фото профиля Andrew Philippou
Andrew Philippou16 дней назад

@OBSProject @WARDOGS I wish you well.

Фото профиля Joey Statham
Joey Statham16 дней назад

@OBSProject @WARDOGS Lmao im sure your MAGA too huh? Too ignorant to listen to what the people who created the game and created the anti cheat are saying. But screw it let's just ignore facts from the source lmao idiots...

Фото профиля SK1DWRKS FTD
SK1DWRKS FTD17 дней назад

@OBSProject @WARDOGS That’s pretty cool but I’m so bad at setting up stuff like this I need someone to go over my obs and help me get everything right lol

Фото профиля дойдлд тяцмр
дойдлд тяцмр18 дней назад

@OBSProject @WARDOGS That's so fucking impressive, great job

Фото профиля KC Pharaon ☥
KC Pharaon ☥17 дней назад

@OBSProject @WARDOGS @le_Swid

Фото профиля NoTread
NoTread18 дней назад

@OBSProject @WARDOGS So you are wearing the dark shirt and switched to your twin brother's pov in the light shirt?

Фото профиля Andrew Philippou
Andrew Philippou18 дней назад

@OBSProject @WARDOGS They are separate clips displaying each new function. This is also a demo showreel based on gameplay clips. It functions exactly like this live as well.

Фото профиля Hazel "Gayzel" Morrowind | Aman★gawaEN
Hazel "Gayzel" Morrowind | Aman★gawaEN17 дней назад

@OBSProject @WARDOGS so how does this then provide the teammates' POVs? Do they also need to be streaming, or is it some game functionality I am as of now, unaware?

Фото профиля Andrew Philippou
Andrew Philippou17 дней назад

@OBSProject @WARDOGS They can provide you the feed via discord (the discord has free 1440p60fps streaming) or they can just be live on twitch kick or YouTube and you add their source.

Фото профиля MovaH
MovaH16 дней назад

@OBSProject @WARDOGS What is the name of plugin?

Фото профиля Michael krick
Michael krick17 дней назад

@OBSProject @WARDOGS @Brammflakes your thoughts on this

Фото профиля synergy
synergy17 дней назад

@OBSProject @WARDOGS I can’t tell what the f is going on…. “Guy in the tower got me”- shows AK on a roof?? That just bad editing to have the voice still active or what ?

Фото профиля Andrew Philippou
Andrew Philippou17 дней назад

@OBSProject @WARDOGS This is an example of the auto pov switching so when we get downed it changes pov live to your team mate so your stream doesn’t have to watch black screen.

Фото профиля synergy
synergy17 дней назад

@OBSProject @WARDOGS Ahhh makes sense I guess.

Фото профиля p3t3
p3t318 дней назад

@OBSProject @WARDOGS How much performance does this draw from cpu / gpu? Could I do this with my i912900k and 3070?

Фото профиля Andrew Philippou
Andrew Philippou18 дней назад

@OBSProject @WARDOGS 1-2% of cpu utilization for your CPU and 0-1% utilization of GPU

Фото профиля p3t3
p3t318 дней назад

@OBSProject @WARDOGS Great to know, I would need my boys in discord to stream to discord as well right?!

Фото профиля Andrew Philippou
Andrew Philippou18 дней назад

@OBSProject @WARDOGS Thats the most optimal way, espeically if you use the @kennel_gg discord as we have a discord bot that automates switching for you but you can also just get them to be live on twitch.

Фото профиля LunatheDarkMoon
LunatheDarkMoon17 дней назад

@OBSProject @WARDOGS @EiosRequiem I think you need this when you play wardogs

Фото профиля Nathan Warnick 🎦
Nathan Warnick 🎦17 дней назад

@OBSProject @WARDOGS I am so confused looking at this!! is this showing the killers POV?.. I've played a decent amount of the game, But as a viewer I'd be annoyed AF trying to watch this.

Фото профиля Christopher Sloan
Christopher Sloan17 дней назад

@OBSProject @WARDOGS Very nice!!!!

Фото профиля S
S18 дней назад

@OBSProject @WARDOGS Cc @HutchMF

Фото профиля Kane
Kane17 дней назад

@OBSProject @WARDOGS Does it come with the recoil script?

Фото профиля Andrew Philippou
Andrew Philippou17 дней назад

@OBSProject @WARDOGS Are you insinuating I’m cheating?

Фото профиля Kane
Kane17 дней назад

@OBSProject @WARDOGS You're using a recoil script, its not humanly possible to have that kind of recoil with those attachments. Even with the best attachments in the game you cant have almost zero movement. So yes you're cheating.

Фото профиля Andrew Philippou
Andrew Philippou17 дней назад

@OBSProject @WARDOGS What you are seeing is max FOV with smallest weapon model and 30 years of above average FPS MnK experience. The settings reduce visual recoil making it easier to stay on target. I’m not even that good.

Фото профиля Kane
Kane17 дней назад

@OBSProject @WARDOGS Crazy how it looks exactly the same as some furry avatar and the average Chinese clip. But yeah sure buddy, not to mention anyone can create a recoil script that looks just like that. Actual streamers that are good at fps have obvious deviation your clips have i identical recoil

Фото профиля Fr0st❄️
Fr0st❄️18 дней назад

@OBSProject @WARDOGS this overlay is really clean. how did you set it up?

Фото профиля Andrew Philippou
Andrew Philippou18 дней назад

@OBSProject @WARDOGS I use OCR technology to read in real time your balance at the start of the stream and hwo it goes up or down accordingly as you play. It also calulates dollar earned per minute but only for actual in game time - if you are in menu or not in a lobby it doesnt count

Фото профиля illitaret
illitaret17 дней назад

@OBSProject @WARDOGS Does this switch to another streamer?

Фото профиля Andrew Philippou
Andrew Philippou17 дней назад

@OBSProject @WARDOGS yeah you set the streams of the people are you playing with and when you get downed it will change to their POV and when you get rezzed it goes back to yours.

Фото профиля illitaret
illitaret17 дней назад

@OBSProject @WARDOGS That’s pretty cool. Have you made it public yet?

Фото профиля Andrew Philippou
Andrew Philippou17 дней назад

@OBSProject @WARDOGS Yes.

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Gh0stArcade

240,388 просмотров • 1 месяц назад

Adobe tried to buy Figma for $20 billion in 2022. The deal collapsed. So Figma went public on the NYSE in July 2025 instead. Ticker FIG. Public company. Quarterly earnings. Wall Street pressure. You know what happens to design tools after they IPO. In March 2025, Figma raised the Professional Full seat 33%. From $15 to $20 a month. Organization seats jumped to $55. Enterprise to $90. Then they took Dev Mode, which was free during beta, and locked it behind a paid seat. Your developers now pay extra to inspect the designs your designers already paid to create. In March 2026, Figma started charging for AI credits on top. If Figma raises prices again, you pay. If Figma gets acquired, you pray. If Figma shuts down, your files die with it. Your design system. On their servers. In a proprietary format only their app can read. To draw rectangles on a screen. There is an open source design platform that runs on your hardware. Stores your files in plain SVG. Costs $0 forever for unlimited users. It is called Penpot. 45,700+ stars on GitHub. A full Figma-grade design platform built on open web standards. Vector editing. Components. Design tokens to W3C spec. Flex and Grid layouts. Real-time multiplayer. Interactive prototyping. Here's what it does: → Real-time collaboration. Live cursors. Comments in line. → Components, variants, shared libraries. → Auto layout, Flex, CSS Grid. The tool outputs production CSS, not lookalike CSS. → Interactive prototypes with overlays, animations, and flows. → Inspect tab. Free. Built in. Every developer grabs production CSS, SVG, HTML without a separate seat. → Plugin ecosystem. Figma import to migrate your files. → Self-host on Docker in one command. Your designs never leave your network. Here's the wildest part: Figma stores your designs in a proprietary format only Figma can read. Penpot files are SVG. The same format your browser has rendered for 25 years. Open them in any editor. Open them in 20 years. Nobody can lock you out. The feature Figma charges your developers extra for, Penpot gives away. Without asking permission. Figma Professional: $20/month per seat. A 10-person team: $2,400/year. Figma Organization: $55/month per Full seat. A 50-person org: $33,000/year. Penpot: $0. Unlimited users. Unlimited files. Unlimited teams. Self-hosted. Free forever. 45,700+ stars. 2,700+ forks. 250+ contributors. MPL-2.0 license. Backed by a community that believes design tools should be free. Your designs. Your files. Your standards. 100% Open Source. (Link in the comments)

Nav Toor

217,656 просмотров • 5 месяцев назад

10 free github repos that can replace major SaaS with subscriptions. all free. open-sourced. some are MIT licensed. — 1️⃣ openscreen — replaces screen studio ($29/mo) - a clean macOS/windows/linux screen recorder for polished demos. - blur, cursor highlighting, annotations, export to mp4 or gif at any aspect ratio. - doesn't try to clone every feature, just nails the basics for quick walkthroughs you'd post on X. — 2️⃣ voicebox — replaces elevenlabs ($22/mo) + wisprflow ($15/mo) - local-first AI voice studio. - clone voices from 3 seconds of audio, generate speech across 7 TTS engines in 23 languages, - dictate into any text field with a global hotkey. - nothing leaves your machine. - runs on apple silicon, cuda, rocm. — 3️⃣ openshorts — replaces opus clip ($19/mo) + submagic ($16/mo) - free AI video platform. - clip generator turns long youtube videos into 9:16 shorts with auto-subtitles and face tracking (runs on free gemini + elevenlabs tiers). - also includes AI UGC video generation with actors — that part is pay-per-use via fal. ai (~$0.65-2 per video). docker self-host. — 4️⃣ freellmapi — replaces chatgpt pro + claude pro ($20/mo each) - stacks 14 free AI provider tiers (google, groq, cerebras, openrouter, github models + 9 more) behind one openai-compatible endpoint. ~800M tokens/month. - smart router with failover, sticky sessions, encrypted key storage. ships with a dashboard. — 5️⃣ playwright-mcp — replaces browserbase ($39/mo) + browser use ($25/mo) - microsoft's official MCP server that gives any AI agent full browser control. - uses accessibility trees, not screenshots — deterministic and token-efficient. - works with claude code, cursor, windsurf, codex out of the box. — 6️⃣ vibe-trading — replaces tradingview premium ($60/mo) - natural-language finance research agent. - 7 backtest engines across stocks, crypto, futures, forex. - 75 specialist skills (factor analysis, options strategy, ML strategy). - 29 multi-agent swarm presets. - 21 of 22 MCP tools work with zero API keys. — 7️⃣ CalCom — replaces calendly ($12/mo) + savvycal ($12/mo) - the open-source scheduling infrastructure. - one-on-ones, group events, round-robin, team booking, - payment collection (stripe), routing forms, workflows. - integrates with google/outlook/apple calendar, zoom, meet, teams. - self-host in 10 minutes with docker. 40k stars. — 8️⃣ whisper — replaces otter ($17/mo) - openAI's open-source speech-to-text model. - transcribe audio in 99 languages, translate to english, generate timestamps. - runs locally on cpu or gpu. - the actual model behind most "AI transcription" SaaS tools you're paying for. — 9️⃣ postiz — replaces buffer ($15/mo) - AI-powered social media scheduler. - cross-post to X, linkedin, instagram, tiktok, threads, bluesky, mastodon, youtube, pinterest. - AI captions and hashtags. - analytics dashboard. team workspaces. 31k stars and rising. — 🔟 vaultwarden — replaces 1password ($8/mo) - unofficial bitwarden-compatible server written in rust. - works with every official bitwarden client (mobile, desktop, browser). - unlimited users, unlimited vaults, full enterprise feature set. - runs on a $5 VPS or your home server. — disclaimer: open-source ≠ 1:1 replacement. you'll trade polish for ownership, hand-holding for control, and a credit card for a github version. for builders, prototypers, and indie hackers — that's the whole point. for everyone else, the paid tools still have their place. bookmark this. share with one friend bleeding subscription fees. ~m0h

m0h

255,969 просмотров • 4 месяцев назад

I'm using macOS for more than 14 years now, in a single laptop screen setup with lots of windows open, and I'm using macOS spaces everyday to organize my windows. Switching between spaces is easy: I hit CTRL+arrow left/right, it takes no time. What takes time however, is this macOS-native transition animation that takes a bit less than 1 second, for every single space switch. I've checked everywhere in macOS settings, asked friends with the same problem, and there's just no setting to disable this effect (even with Reduced Motion ON in Accessibility settings). This UX choice from Apple alone costs me days of my time every year, as I'm working non-stop on my SaaS business for 10h a day 5-6 days a week (Crisp for those who know about it!). I calculated that with my daily use of macOS spaces, in 6 months I'd perform 100,000 switches, which costs me the same in seconds waiting for the transition to complete. This represents almost 28 hours waiting. In 1 year, I'd have lost 2.4 days just... waiting! The Hack Fortunately, some other open-source projects discovered a hack not so long ago, which allows disabling the transition when switching spaces: it involves sending to the system a "fake" trackpad left/right swipe gesture that's faster than what's expected (faster than what a human can input via the Macbook's trackpad). Above some threshold, macOS just perform the space switch with absolutely no transition. A friend of mine, Yaël 🛸, made a quick prototype in Objective-C, and it magically worked! The Solution So, I asked my friend if we could make it a proper macOS app together, in a beautiful minimalist package, and he said yes! So, we launched Space Rabbit, a tiny 2MB fully native macOS app, that allows you to optimize macOS spaces for productivity! Space Rabbit is a full rewrite of the initial prototype in modern Swift, with a tray menu bar to configure the app, and a settings window, in a macOS app packaging. Space Rabbit can be downloaded right here: We just released V2 of the app last week, fixing a ton of little bugs, especially for dual screen setups. It's actively maintained to this day as it's my daily driver. The app is open-source: and will always be free, as it's helping improve our productivity in our daily Web Dev tasks for our main businesses. We'll be happy to implement more features from user requests, if you find this app useful and use it daily!

Valerian Saliou

222,167 просмотров • 2 месяцев назад

Google's new laptop category Googlebook running Googlebook OS which mixes the best of ChromeOS and Android, built fully around Gemini AI. starts at 💰 $899. 🖥️ up to 2.8K OLED touchscreens, haptic glass trackpads, backlit keyboards 🔩 premium materials: aluminum, magnesium alloy and carbon fiber ⚡ Intel and Qualcomm chips with 45+ TOPS NPUs, up to 14 hours battery 💡 Glowbar is back: lights up at startup, shows battery level, animates when you talk to Gemini 🤝 made by Acer, Asus, Dell, HP and Lenovo works with your Android phone out of the box: 🔐 sign in and your settings, passwords, Wi-Fi and messages move with you (end-to-end encrypted) ▶️ Continue On: pick up exactly where you left off on your phone, right from the taskbar 📁 Files: view, search and open your phone's files and photos on the laptop 📲 Cast My Apps: stream and use your phone's apps in a desktop window Gemini stuff built in: ✨ Magic Pointer: shake your cursor and Gemini works on whatever's on your screen 🗣️ Rambler: talk through your thoughts and it turns them into clean, structured writing 🧩 Create My Widget: describe what you need and it builds a custom desktop widget apps and extras: 🌐 full Chrome browser with extensions + millions of Android apps 🎬 Photoshop, Lightroom, CapCut, Netflix and HBO Max with offline viewing 🎮 1 year of GeForce NOW free with every purchase 🛠️ Antigravity AI dev platform + full Linux terminal for developers 🔒 Google Titan security, Level 5 certified hypervisor, updates for up to 10 years every Googlebook includes 12 months of Google AI Pro (5TB storage + Gemini Advanced), 3 months of YouTube Premium, Adobe Photoshop and more. pre-orders open now on Google Store, Best Buy and select retailers. on shelves October 4 in the US, October 5 in Canada, UK, Ireland, France, Germany and Australia. #Googlebook

Abhishek Yadav

19,376 просмотров • 23 дней назад

Tried this with Wan 3.0 on TapNow Prompt Detailed video generation prompt (Scooby-Doo / Interdimensional Cable, Twitch livestream composite) Full-screen recording of a live Twitch stream, identical layout and UI chrome to a real Twitch desktop player. Dark purple/black interface. Top bar: Following | Browse | search field showing “PokémonXP & 2026 Worlds” | notification bells | “Try 1-Month Ad-Free.” Left sidebar “For You / Live Channels” with the same channel list and viewer counts (TheBurntPeanut 515K, stableronaldo 441K, KaiCenat 85.3K, JoeKnowsYT, Jynxzi, k3soju, etc.). Bottom-left streamer badge: circular avatar, red LIVE pill. Right column: Stream Chat with continuously scrolling messages, bits/cheers, subs, and the same chaotic energy (LOL, GEEG GEEG, FAX YELLOW NOT, IM DYING, goodfellow, UNIQLO GG, DROP THE BRAND, IM WEARING PINK, PAAAHAHAHAHAHA, go naked, wait put us on game unc, etc.), “Verified Accounts Only Chat,” chat input box, and viewer/sub counts ticking in the header (ethourah, Khaled_5vl3d, mssmoaka143, etc.). Occasional Twitch notifications (subs, gifted subs, raids) pop in the chat like the original stream. Center player shows the cartoon with a thin player bar (timestamp advancing ~00:06–00:28). Overlaid on the cartoon at key beats are black “DIRECTOR MAX” caption cards, same typography and placement as the source video. Inside the player: Scooby-Doo classic Hanna-Barbera / Warner cartoon style — thick rounded black outlines, flat cel colors, slight film grain and analog-TV softness, 1969–1970s Saturday-morning look (not modern 3D or highly detailed reboot). Characters are on-model: Shaggy Rogers (tall, skinny, slouched, messy brown hair, green shirt, brown pants, goatee, half-lidded lazy eyes, holding a black remote) and Scooby-Doo (Great Dane, brown with black spots, blue collar with gold diamond tag, expressive droopy muzzle). They slouch on the same living-room set as the original video: beige walls, brown two-cushion couch, circular rug, wooden floor, kitchen behind them (fridge, hanging lamp), night window with stars, framed pictures, bookshelf, purple lamp on the side table, coffee table. Do not redesign the room — keep that exact interior. Start with a wide living-room shot. Shaggy and Scooby sit slouched on the couch watching the TV on the left. Shaggy leans back with one long leg extended, remote in hand, looking bored and hungry. Scooby sits slightly hunched, one paw near his muzzle, looking uneasy. Subtle idle animation: breathing, Shaggy’s fingers twitching on the remote, Scooby’s tail giving a small nervous wag, Scooby’s foot tapping. On-screen DIRECTOR MAX card (same style as source): “Scooby-Doo cartoon, cel-shaded: Shaggy and Scooby slouch on the living-room couch flipping interdimensional cable” Shaggy speaks in his classic nasal, slacker voice: “Like, look at this, Scoob — interdimensional cable. It’s just, like, nonsense from other realities.” Cut to medium close-up of their faces. Shaggy’s mouth is open mid-sentence, eyes half-closed. Scooby stares at the TV with growing discomfort, ears slightly back. Cut to over-the-shoulder / TV-centric shots. The television rapidly flips through absurd interdimensional channels (same pacing and cuts as the original): - Bright commercial for a “Plumbus”-style gag, Scooby-Doo flavor: a small green blob-like monster with purple ears and a big smile stands next to a metallic mystery gadget, waving against a yellow background. Banner reads something like “PLUMBUS” in large orange letters (keep the same graphic layout). - Quick cut to a talking toaster wearing a tiny tuxedo and red bowtie, smiling with a cartoon face. - Fast channel change with motion blur into a surreal landscape: rolling green hills and purple mountains under a blue sky, with multiple giant disembodied eyeballs floating and staring at the camera. - Later channels show colorful neon monster / alien game-show hosts (pink, green, blue creatures with glowing outlines) dancing and waving on a dark stage with bright lights and abstract shapes. Scooby, still looking at the screen, in trademark Scooby-speak: “Ruh-roh, Shaggy… some of this stuff is actually kinda spooky.” His expression shifts from confusion to mild distress (trembling jowls, wide eyes). Camera slowly pushes in over their shoulders toward the TV as the screen keeps flickering through more chaotic programming. Low ambient hum of the living-room refrigerator. Scooby becomes more anxious, mumbling about Scooby Snacks / the mystery they were supposed to be working on. He raises both paws to his head in frustration. Shaggy groans, lets out a wet burp, slumps deeper into the couch, and blindly reaches toward a half-empty mug (or sandwich plate) on the coffee table. TV audio dissolves into layered interdimensional static mixed with warped game-show applause and monster voices. Second DIRECTOR MAX card (same placement and length as source): “The camera pushes in slowly over Shaggy and Scooby’s shoulders as the television screen flickers through surreal alien game shows, accompanied by the low hum of the living room refrigerator and Scooby’s anxious mumbling about Scooby Snacks. Shaggy groans, burps wetly, and reaches blindly for a half-empty mug on the coffee table while the TV audio morphs into chaotic interdimensional static.” Scooby, voice rising with panic (still Scooby-speak): “Reah, I really gotta— I mean, we have so many Scooby Snacks to eat, Shaggy, and we’re just sitting here!” He turns slightly toward Shaggy while still glancing at the TV, then grabs the mug. Keep the animation loose and expressive like classic Scooby-Doo: squash-and-stretch faces, rubbery walks even while seated, slight line wobble, big eye takes, Shaggy’s lazy slouch vs Scooby’s cowardly flinch. Lighting stays consistent with the original room — TV glow on their faces plus warm indoor lamps. The Twitch chrome, chat scroll, live-channel list, viewer counts, and DIRECTOR MAX cards remain visible the entire time; the cartoon plays only inside the stream player. No extra watermarks beyond the Twitch UI. Duration target: ~20–25 seconds. Smooth camera moves, natural dialogue timing, rapid but readable channel changes on the TV. High fidelity to Shaggy and Scooby’s personalities (cowardly, snack-obsessed, “like/zoinks/ruh-roh”) while locking the background, shot list, overlay layout, and edit rhythm to the original stream recording.

Sharon Riley

18,709 просмотров • 1 месяц назад

this fitness app is doing $600k/month with duolingo-like onboarding, here's why. onboarding: - an elephant mascot greets you first → duolingo tone in a category full of clinical spreadsheet apps. - it shows you the ranking system before any tracking feature → you learn what you're playing for before you learn how to play. - hold the screen to commit → a physical action, tiny sunk cost, you've already done something. - build your own avatar → it's your app now, not theirs - 40+ questions on goals, experience, training history → every answer makes the plan feel more custom. - you earn your first rank from the answers alone → a win before you've touched a barbell - review prompt fires right at that moment → peak motivation, highest possible rating. - paywall loops with no exit, only "try free for 7 days". that review placement is the actual business. it's how you get 30k+ reviews sitting at 4.7. review volume is an app store ranking input, and liftoff is top 3 on 700+ keywords. the onboarding isn't just converting downloads but it's manufacturing the ratings that produce the next batch. these guys stopped chasing trends. found 3 or 4 formats that converted, pov training clips, day in the life, transformation arcs, and ran them into the ground with fresh execution each time. i see app founders do this exact system adapted to the niche, somewhere in there we separated creation from scale. they built the original templates, a small team of editors multiplied them across platforms. this is where most solo founders get stuck. they either do everything themselves and burn out around 15 posts a month, or hire generically and lose whatever made the content work.

Mufasa

15,432 просмотров • 2 месяцев назад

Promised to ship before the movie so... 📅 53 days 🤖 731 vibe coded commits ⚡️ Powered by Three.js 🚀 Inspired by a space plumber 🙋‍♂️ AMA, no secrets, no shame High level, grouped list of what's in this game: Galaxy DNA - Lumas - Star Bits - Spin attack with air boost + ground-cancel - Galaxy gravity - Octoombas - Gateway Galaxy music track Vibe Coding Process - Claude Code (Opus) for ~95% of all code - CLAUDE.md project instructions file (163 lines of rules + constraints) - 87 implementation plans written before coding - 36 AI code reviews (ECS, architecture, performance) - 11 retrospectives after major features - 60 extracted skills (reusable knowledge from debugging sessions) - Constraints doc that grows every time something breaks (115 lines) - /lets-build workflow: discovery → plan → review → implement → verify - Every feature: plan first, review the plan, then build in atomic commits - Custom level construction CLI (AI-assisted placement) - this evolved over 53 days Architecture - Custom ECS engine (Structure-of-Arrays, zero-alloc hot paths) - Benchmarks faster than bitECS on packed iteration - 117 ECS systems orchestrated in explicit update order - Data-oriented Process system (sequential/parallel composition) - 30+ process types: UI animations, camera arcs, sfx Rendering - Three.js + Pixi.js sharing one WebGL2 context - Three renders 3D, Pixi renders UI — no extra canvases - Half-res bloom, color grading, occlusion silhouettes - Fresnel rim lighting + hemisphere ambient for Galaxy-style polish Physics - Rapier3D WASM physics (SIMD build) - Kinematic character controllers for player + all enemies Gravity - Galaxy-style gravity fields (walk around surfaces) - 4 gravity field types - Priority-based gravity resolution with distance tiebreakers - Convex hull letter platforms with per-face gravity - Spring-damped gravity transitions Shadows - Multi-pass gravity-aware shadow system - Per-instance shadow filtering via vertex shader attributes - InstancedMesh candidates promoted across gravity fields - Dynamic frustum sized from camera FOV each frame Camera - camera system with 12 critically damped springs - Follow-gravity mode (trailing orbit in tangent plane) - Fixed-up mode (screen stays level on letter platforms) - Top-down mode (Galaxy overhead cam, roll-free quaternion) - Camera collision via 4-direction spherecast repulsion - Override blend system for boss fights + pipe travel - Catmull-Rom spline intro flythrough with per-waypoint duration Space - Procedural space nebula (simplex noise shader, 3 octaves) - 1,800 seeded stars with per-star brightness + color variety - Galaxy-authentic palette across all screens Enemies - 5 enemy types with full AI state machines - Goomba, Koopa, Spiny, Bob-omb, Octoomba - 3D distance → FOV cone → LOS raycast detection pipeline - Editor-placed OBB avoidance zones with deflection hysteresis - Recoil, stun, shell, fuse, and ranged attack behaviors Boss Fight - Bowser Jr. boss fight - Multi-phase combat with Bob-omb spawning - Controlled intro/outro sequence Mario - Galaxy-style spin attack - Rainbow diamond particle burst (InstancedMesh, 64 pool) - Hit-stop with global time scale freeze + camera shake - Air boost, ground-cancel, shell kick at extended range - Invulnerability frames during active spin Yoshi - mount/ride system with shield HP - +3 extra HP ring on mount, damage depletes shield first - Overflow damage carries to Mario - Forced dismount on shield break with poof effect Objects - Coin system with InstancedMesh rendering (256 max) - Per-instance opacity via shader patching - Pop → float → shrink → fade collection animation - Swap-and-pop O(1) entity removal - Star bit burst spawning with attraction system - Pipe warp travel with camera override blend - Parallel-transported screen-right vector during crossfade - Shadow field updates for traveling entities - trampoline - 3D assets from Hello Mario Framework (now archived) and game rips Audio - 17+ wired sound effects with spatial audio - Bob-omb fuse sound: per-entity lifecycle, looping playback tracking - Distance-based volume for poof and explosion effects UI - Odyssey-style ring HP meter with shield inner ring - Number roll + arc lerp stagger on health changes - Gold coin counter HUD - Loading screen with code-split fast first paint - Pretext layout flow in "legal" screen with retro Mario Controls - Mobile touch controls: virtual joystick + A/B buttons - Proportional analog stick with walk/run speed switching - Gamepad support: Xbox, PlayStation, Switch Pro - Dead zones, auto-reconnect, synthetic DOM key bridge Dev Tooling - experimental CLI level construction tool with undo history - 18 placement types with type-safe defaults - Atomic file writes, auto-backup (max 20), live reload - Dev server auto-save plugin for visual editor - Two-panel debug editor (Tweakpane) - Hierarchy + inspector with gravity field live editing - Translation/rotation gizmos with gravity-relative local space - Per-waypoint camera preview for intro spline tuning 731 commits. 53 days. 95%+ vibe coded.

Tommy Leung

185,083 просмотров • 6 месяцев назад

You spend hours shooting or hunting down raw footage, only to get back to your desktop and face the real nightmare: importing clips one by one into your editor, spending another 30 minutes digging through music libraries for a track, and manually dragging every single piece onto the timeline... Before you even touch a cut or sync a beat, you’ve already burned half your day. I was honestly so done with this tedious, soul-crushing prep work. Then I saw everyone talking about Fotor’s Fotor Agent, so I threw a folder of raw extreme sports footage at it just to see if it was legit. And damn... I actually got hyped. The action editing headache is finally solved. High-energy sports edits live and die by pacing and audio impact. Usually, manual clip scrubbing and beat-matching take hours, while standard AI generators just slap random footage together into an uneditable mess. Instead of dumping a locked MP4 on me, Fotor Agent’s Smart Editing handled all the brutal prep work and handed back a fully synced, multi-track project file. Here are a few details from my test run that genuinely blew me away: Step 1: Intelligent Highlight Extraction (Auto-Select & Timeline Setup) I dumped gigabytes of raw B-roll straight into the Agent. Zero manual scrubbing needed. It analyzed the motion vectors, pulled the highest-impact peak action frames (the heavy landings, freefalls, and massive jumps), trimmed the dead space, and laid everything out in logical narrative order. Step 2: Auto-BGM Matching + Beat-Syncing + Multi-Track SFX Hunting for tracks and sound design usually makes me want to pull my hair out. Fotor Agent didn't just pick a track with the right energy—it snapped visual cuts precisely to the bass drops. Even better, it automatically layered swooshes, risers, and impact SFX right on the action points, each isolated on its own editable audio track. Step 3: Non-Destructive Tweaks (Swap Clips Without Re-Prompting) This is where it turns into a real production tool. When I wanted to swap out a mountain bike shot for a tighter POV angle, I didn't have to re-render the whole project or re-prompt. I just swapped that single clip right on the timeline, and the Agent auto-adjusted surrounding transitions while keeping the beat sync perfectly intact. Step 4: Native 4K Motion Graphics (High-End Quality for Cents) Action reels look flat without slick animated titles and telemetry data. Keyframing these in After Effects takes forever, and outsourcing them can easily cost thousands. Fotor Agent generated sharp, native 4K vector motion graphics directly on the timeline that I could edit anytime—costing just a few cents per second. On top of that, while tweaking the project, I noticed I could freely stack custom filters and seamless transitions. The final output didn't just look like a quick edit—it delivered a true commercial-grade asset that you could actually hand over to a paying brand client or run as a high-converting ad. No more burning hours on mindless file imports and manual clip alignment. Fotor Agent handles the heavy structural setup and timing, leaving you with total creative control over the final cut. Check the workflow and final video below! 👇🏼

ares. 🎧

27,991 просмотров • 15 дней назад

𝐓𝐡𝐞 𝟐𝟎𝟐𝟔 𝐖𝐨𝐫𝐥𝐝 𝐂𝐮𝐩 𝐰𝐢𝐥𝐥 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞 𝐦𝐨𝐫𝐞 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐭𝐡𝐚𝐧 𝐚𝐧𝐲 𝐬𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐞𝐯𝐞𝐧𝐭 𝐢𝐧 𝐡𝐢𝐬𝐭𝐨𝐫𝐲. Most people will use sportsbooks. A few will discover something better. Here's why the World Cup is actually POTS MARKET Market biggest moment. Every match carries dozens of predictable outcomes, not just who wins, but scorelines, goalscorers, red cards, halftime leads, VAR decisions. Traditional sportsbooks will process billions in bets. And keep most of it. Here is the problem with sportsbooks that nobody talks about: They set the odds. Not the market. Which means the house always has an edge baked in before you place a single bet. You're not trading against the market, you're trading against a company whose entire business model depends on you losing. That's not a prediction market. That's a casino with a football shirt on. Prediction markets are different. The odds aren't set by a company. They're set by the collective intelligence of everyone participating. When millions of people put real money behind their beliefs, the market finds truth faster than any analyst, pundit, or algorithm working alone. This is why prediction markets outperform polls, pundits, and press releases, every single time. Now here's where POTS Market changes the game entirely. POTS MONEY has a dedicated sports vertical, built specifically for football, basketball, and esports. Not a generic market with a football category tucked in the corner. A tailored module optimized for the way sports prediction actually works, short windows, live data, rapid settlement. 64 World Cup matches = 64 live prediction markets. Each one open, on-chain, transparent. But the real edge is not the markets themselves. It's the capital layer underneath them. On a traditional sportsbook, every bet locks your full stake. You place £100, that £100 is gone until settlement. POTS Money changes this. The DeFi lending primitive means you can collateralize positions and optimize capital across multiple markets simultaneously, without locking up dead capital on each one. That's not betting. That's portfolio management. And then there's the AI layer. Via MCP (Model Context Protocol), you can deploy autonomous trading agents that monitor live match data and execute positions based on your pre-set strategy. Imagine this: Agent monitors possession stats in real time Detects a momentum shift at the 60th minute Auto-places a position on the next goalscorer market before the crowd even reacts 𝙏𝙝𝙖𝙩'𝙨 𝙣𝙤𝙩 𝙖 𝙥𝙧𝙚𝙙𝙞𝙘𝙩𝙞𝙤𝙣. 𝙏𝙝𝙖𝙩'𝙨 𝙖𝙣 𝙚𝙙𝙜𝙚 Compare the two worlds side by side: Sportsbook: ❌ House sets the odds ❌ Geo-restricted ❌ Capital locked per bet ❌ No automation ❌ Withdraw only when they allow it POTS Market: ✅ Market sets the odds ✅ Open and on-chain ✅ Capital efficient via DeFi lending ✅ AI agents execute your strategy ✅ Fully collateralized, transparent settlement One of these is built for the next decade. The other is built for the last one. The timing is not a coincidence. POTS Market launches Q2 2026, right as World Cup fever peaks globally. Q1 2026 — MVP + Polymarket integration ✅ Q2 2026 — Market Launch + DeFi lending beta 👈 we are here Q3-Q4 2026 — Skill Hub + Sub-accounts 2027+ — DAO governance + cross-chain The infrastructure is ready exactly when the biggest prediction event on earth arrives. That's timing. The 2026 World Cup will mint the first generation of serious prediction market traders. Most will start on sportsbooks. The ones who do their research will end up on POTS. From trusting the house to trusting the market. From locked capital to capital efficiency. From punting to positioning. POTS MARKET POTS MONEY, the World Cup just became a DeFi event.

KIMMY OF GOOD LIFE 😍

22,452 просмотров • 4 месяцев назад

Made $313 → $2,382,780 in 4 Days Using a Claude AI Bot on Polymarket. 26,738 trades. 98% win rate. Full blockchain proof. Every single trade verifiable on-chain. I've made the exact step-by-step guide to build this Claude Polymarket bot from scratch. You've been trading for 3 years. Still red. He gave Claude $313. Woke up rich. Free for 24 hours. To get this Setup guide: 1. Comment "Money" 2. Like and Retweet 3. Follow me Himanshu Kumar (so i can DM you) Full 2-hour video tutorial attached. Every single click and command explained. Beginner to running bot. Now let me break down exactly how this works. Save this post. This is the most important trading breakdown you'll ever read. ↓ Let's start with the number that should make you sick. $313. That's what this wallet started with. Not $50,000. Not $10,000. Not even $1,000. $313. Less than your monthly Netflix + Uber Eats + Spotify combined. 4 months later: $2,382,780.80. That's a 7,942x return. While you spent those same 4 months staring at charts, drawing trendlines, panic selling, revenge trading, and ending the month exactly where you started. Minus the $200 you lost on that "sure thing." Same 4 months. Same market. Same opportunities. He had a bot. You had feelings. Guess who won. Save this post right now. What I'm about to explain is the exact mechanism behind every dollar of that $2.38M. Follow Himanshu Kumar so you don't miss the rest. ↓ How Polymarket actually works and why bots print money on it. Polymarket is a prediction market. Will BTC be higher in 15 minutes? Yes or No. Will the Fed raise rates? Yes or No. You buy shares between $0 and $1. If you're right, your share settles at $1. If you're wrong, it settles at $0. Simple. Now here's where it gets interesting. Polymarket updates its prices SLOWER than the real market moves. When BTC drops 0.6% on Binance, Polymarket still shows old odds for about 2.7 seconds. 2.7 seconds. In those 2.7 seconds, the bot already knows the outcome. It's not predicting. It's not guessing. It's reading information that already exists and trading before Polymarket catches up. That's not trading. That's collecting free money with a 2.7 second head start. And you're over there using a 15-indicator TradingView setup trying to "predict" where BTC goes next. The bot doesn't predict anything. It just reads faster than you. That's the entire edge. Save this post because if you understand this one concept you understand how millionaires are being made on Polymarket right now. Follow Himanshu Kumar for more breakdowns like this. ↓ Let me walk you through one single trade. A new 15-minute BTC contract opens on Polymarket. Odds are 50/50. Fair price. 10 minutes in, BTC drops 0.6% on Binance. Hard, fast move. The real probability of BTC being lower at expiry is now about 78%. Polymarket still shows 54/46. The bot sees this instantly. Binance WebSocket feed. Under 50ms latency. The edge is 24 percentage points. On a binary contract, that's basically free money. Bot calculates position size using Kelly Criterion. Executes via Polymarket's API. Done. Within 2-3 seconds, other participants update the odds. 54/46 moves toward 78/22. Bot either exits for immediate profit or holds to resolution. Either way, the trade was entered with near-certainty of a positive outcome. Now repeat this 200-500 times per day. $313 → $2,382,780 in 4 months. Not magic. Not prediction. Not luck. Industrial-scale exploitation of a market inefficiency that still exists today. And you're still placing one manual trade per day and calling yourself a "trader." This is the mechanism behind every single dollar. Bookmark this post so you can study it again. Follow Himanshu Kumar because I'm breaking down each strategy separately. ↓ There are 4 strategies. Not all Claude bots do the same thing. Strategy 1: Latency Arbitrage. Win rate: 85-98%. What 0x8dxd used. Monitor Binance price feeds. When Polymarket odds lag behind reality by 3-5%, buy the correct side before the market corrects. No forecasting. No model. No sentiment analysis. Pure speed. You're not guessing. You're reading an outcome that has already happened. Strategy 2: Oracle Arbitrage. Win rate: 78-85%. Chainlink oracle price feeds occasionally diverge from Polymarket's implied prices. When they do, the settlement direction is known. Fewer opportunities. Higher certainty when they appear. Strategy 3: News-Driven Trading. Win rate: 60-75%. Claude ingests real-time news. Government filings. Central bank statements. On-chain data. Assesses probability impact before retail traders even finish reading the headline. Lower win rate because interpretation introduces uncertainty. But works on ANY market category, not just crypto. Strategy 4: Market Making. Return: 2-5% per month. Place buy and sell orders on both sides. Capture the spread. No prediction required. Most consistent. Hardest to blow up. Compounds aggressively over time. You didn't even know there were 4 strategies. You thought "trading bot" meant one thing. That's how far behind you are. 4 strategies. 4 different risk profiles. 4 ways to make money while you sleep. Save this post. Follow Himanshu Kumar for the deep dive into each one. ↓ The timeline that should haunt you. December 2025: Bot launches with $313. Nobody notices. January 6, 2026: Wallet hits ~$438,000. 140x in 30 days. 6,615 predictions. 98% win rate. Finbold reports it. Crypto Twitter explodes. March 10, 2026: Head-to-head test. Claude bot: $1,000 → $14,216 in 48 hours. +1,322%. OpenClaw bot: fully liquidated. Same market. Same timeframe. Claude won because of better risk management. OpenClaw died because it overleveraged. March 16, 2026: Someone trains a swarm model on 3 years of NBA data. Result: +$1.49M on Polymarket. April 2026: 0x8dxd final verified balance: $2,382,780.80. 26,738 trades. 4 months. This all happened while you were "waiting for the right time to start." The right time was December 2025. The second best time is right now. But you'll probably wait until it's too late. That's what you always do. Every date on this timeline is a day you could have started but didn't. Save this post. Follow Himanshu Kumar so you at least start today. ↓ Why Claude and not ChatGPT? This isn't opinion. It's data. March 2026 head-to-head: Claude bot: +1,322%. OpenClaw (GPT-based): liquidated. Same prompt. Same market. Same conditions. Researchers found Claude's code included: > More defensive edge cases > More conservative default parameters > Better error handling > More legible code for debugging > Proper Kelly Criterion position sizing > Hard drawdown kill switches ChatGPT's code overleveraged into a losing sequence and couldn't recover. Claude's code sized positions conservatively, stopped trading when drawdown thresholds hit, and survived to compound another day. The difference between +1,322% and liquidation wasn't the strategy. It was the risk management. And Claude writes better risk management than ChatGPT. That's not a debate. That's a $15,216 difference in 48 hours. But sure, keep using ChatGPT because "everyone uses it." Everyone's broke too. Coincidence? Stop using the popular tool. Start using the profitable one. Save this post. Follow Himanshu Kumar for more Claude vs ChatGPT comparisons with real data. ↓ Why humans lose to bots. Every single time. Same strategy. Same market. Same period. Bots: ~$206,000 profit. Humans: ~$100,000 profit. 2x gap. Same strategy. Here's why: 1. Late entries. By the time you identify the lag, verify your reasoning, and click buy, the 2.7 second window is gone. The bot executes in under 100ms. You execute in 30 seconds. The opportunity doesn't exist for 30 seconds. 2. Emotional sizing. You oversize when "confident." Undersize when scared. Exact opposite of Kelly math. The bot sizes based on edge. Every time. No feelings. 3. Fatigue. You make worse decisions at hour 6 than at hour 1. The bot makes the same decision at hour 72 that it made at hour 1. 4. Drawdown psychology. After 3 losses you either panic quit or double down trying to recover. Both destroy capital. The bot has a kill switch. It stops. It doesn't feel anything. You're not competing with other humans anymore. You're competing with machines that don't sleep, don't feel, don't flinch. And you're losing. The data doesn't lie. Humans lose to bots 2x on the same strategy. Save this post. Follow Himanshu Kumar for the complete bot setup that removes you from the equation. ↓ What can go wrong. Because I'm not going to lie to you. Most people who build this bot will NOT 7,942x their money. Some will lose their initial capital. Here's what can kill you: Edge compression. The arbitrage window was 12 seconds in 2024. It's 2.7 seconds now. It's shrinking. At some point it hits zero for retail operators. This is a time-limited opportunity. Not a permanent income stream. Rule changes. Polymarket can change contract mechanics, settlement rules, or API terms overnight. What worked yesterday can lose money tomorrow. Risk management bugs. A 98% win rate strategy with broken position sizing will blow up your account on the one losing trade. The March 2026 experiment proved this. Claude survived. OpenClaw got liquidated. Same strategy. Different risk management. That's why the 2-hour video tutorial walks through every single risk parameter. Because the strategy doesn't kill you. Bad risk management kills you. This is the section most "gurus" delete. I'm keeping it because I'd rather you make money safely than blow up and blame me. Save this post. Follow Himanshu Kumar for honest breakdowns, not hype. ↓ The step-by-step to build your own. Step 1: Set up a Polymarket wallet. Fund with USDC via Polygon network. Start with $100-$300 for testing. Step 2: Generate API credentials. CLOB API key from docs.polymarket .com. Store private key in environment variable. Never hardcode it. Never share it. Step 3: Prompt Claude to build the bot. Use Claude Code for best results. It reads your filesystem, executes code, and iterates on errors autonomously. Step 4: Paper trade for at least one week. Minimum 200 completed trades. Win rate must be above 70% before going live. This step is NOT optional. Step 5: Configure risk management. Max single position: 8% of portfolio. Daily loss limit: -20% with auto halt. Kill switch at -40% drawdown. Telegram alerts on every threshold. Step 6: Go live small. $1-5 per trade. Watch every trade for first week. Compare to paper results. Scale only on evidence. Skip steps 4 and 5 and you will lose your money. That's not a warning. That's a guarantee. This is your complete build guide. Save this post. Follow Himanshu Kumar because I'll be posting the exact Claude prompts for each strategy. ↓ The edge exists right now. Not next month. Not "when you're ready." Right now. The arbitrage window is 2.7 seconds. It was 12 seconds in 2024. It's shrinking every week. Every day you wait, more bots enter the space. The window gets smaller. Your potential returns get smaller. The bots already running have a compounding advantage. They're making money today that they'll use to make more money tomorrow. You're reading about it and telling yourself "I'll look into this next weekend." That's what you said last weekend. And the weekend before that. The best time to start was 6 months ago. The second best time is today. But you already know you're going to bookmark this and never open it again. Prove me wrong. ↓ Full 2-hour video tutorial attached. Every single click. Every command. Every parameter. From zero to running bot. Beginner friendly. Nothing skipped. A similar bot has already earned $2,382,780. Full blockchain proof in the article below. The video is free. The tools are free. The edge still exists. The only thing that costs money is another month of doing nothing while bots eat every opportunity you're too slow to catch. Follow Himanshu Kumar for the complete series covering every automated income stream using Claude. Prediction markets are just the beginning. Save this post. Bookmark it. Screenshot it. Whatever you need to do so you actually watch the video and build the bot instead of just reading about people who did. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

54,045 просмотров • 6 месяцев назад