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[Hip-Breaker Bird] -RELEASE- Milf Stolas Model:SamMaxWell ム | Comms - 3/3 voice:SoniaVA-🔞 COMMISIONS OPEN Moxxie model:Valz voice:🔞✨SED21✨Artist/VA! (VOICE COMMS OPEN!) SFX:OpenNSFW -Introless/Musicless/Textless, Full 3 minutes, HQ download and more animations on the wataa page in bio >:3-

176,707 просмотров • 28 дней назад •via X (Twitter)

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People with weak cores struggle to stabilize their bodies when they walk. Every step you take sends a little punch up your leg into your hip and lower back. Planks with one or more support points removed to expose this weakness. Use these 12 exercises to strengthen your core: 1 - Bird-Dog (0:06) 3 x 10/side Beginners start with this exercise because removing two support points with your knees on the floor is easier. The goal is to straighten the opposing arm and leg. A client wobbled when she removed her two support points today, which humbled her. 2 - Front Plank with Leg Lift, Elbows (0:15) 3 x 10/side The second plank involves lifting one leg at a time. Being on your elbows is easier than your straightened arms, so I'll first have people familiarize themselves with this position. Lift your leg as high as you can without swinging too much. Hold at the top for a few seconds to increase the burn. 3 - Front Plank with Arm/Leg Lift, Elbows (0:20) 3 x 10 The third plank resembles the Bird Dog, except your knees are off the floor. Straighten the opposite arm and leg at the same time, and hold. You might struggle to reach a full lengthening, so do your best and practice. Removing one hand off the floor also strengthens your shoulder blade muscles. 4 - Front Rotation Plank, Elbows (0:28) 3 x 10/side The fourth plank engages different abdominal muscles with the rotation. Your arms should point toward the ceiling, something beginners might initially struggle with. 5 - Push-Up Plank (0:34) 3 x 10 The fifth plank is excellent for building upper body strength at home. You are bound to break a sweat and work your chest and triceps. I've had many clients struggle to do more than one rep. 6 - Spider Plank, Elbows (1:01) 3 x 10/side The sixth plank improves your hip mobility as well. You want to open the leg and bring your knee to hip level while keeping in the air. 7 - Lateral Raise Plank (1:09) 3 x 10-20/side The seventh plank is done in a push-up position with your arms straight. There is now more weight on your arms, making it harder to stabilize when you remove a support point. My client tried this variation and had to regress to the Bird Dog because she couldn't support herself. Work your way up to 20 reps/side for extra posture gains. 8 - Toe Taps, Straight Arms (1:22) 3 x 10/side The eight plank has you lifting one leg toward one side and touching the floor with your toes. The contact is brief - You're tapping, not resting. 9 - Mountain Climbers with Twist (1:29) 3 x 10/side The ninth plank is a twist on the classic mountain climbers exercise. You lift one leg and bring it toward the opposite elbow, then repeat on the other side. Increase the speed to add a cardio component, but ensure you can first go through the full range of motion. 10 - Arm/Leg Lift Plank, Straight Arms (1:42) 3 x 10 The tenth plank is the final evolution of the Bird Dog in this series. Straighten your opposite arm and leg, and hold for a few seconds to increase the burn. You can also hold the lengthened position for an extended period, like 30 to 60 seconds. 11 - Plank Jacks (1:54) 3 x 30-60s The eleventh plank is a variation of the classic Jumping Jack. This dynamic exercise adds a cardio component to your core workout. Shuffle both feet toward the side, then jump back to the starting position, Ensure you keep your hips aligned with your head and shoulders. You want to avoid your lower back crashing below them and potentially hurting yourself. 12 - Knee to Elbow Plank, Straight Arms (2:01) 3 x 10/side This series's twelfth and final plank requires the most stability and mobility. Most people are unable to reach their knee to the elbow. Enjoy practicing this one; you will feel stronger after three full sets. // Planks with one or more support points removed are excellent for building a more stable posture when you move. They can be done anywhere with enough space. Progress through the twelve variations in this series and watch how your core strength improves. Enjoy!

Alex Bernier

351,097 просмотров • 2 лет назад

Recorded my first walkthrough video for App Publishing via Manus 👉👈✨ You can now package and share your app for testing on Google Play Store and the Apple App store without setting up Xcode, Android Studio, or wrestling with build configurations. Supported platforms: • Android → Google Play (Internal Testing) • iOS → App Store (TestFlight) Ready to try it? Here's how 👇 ➡️Google Play: Prerequisites: Google Play Developer account ($25 one-time fee) Steps: 1. In Manus, click Publish → select the Android tab 2. Click Build APK — Manus packages your app in AAB format 3. Go to your Google Play Console and navigate to Internal testing 4. Click Create new release and upload the AAB file 5. Under Testers, add your email address (or create an email list for your team) 6. Copy the opt-in link 7. Open the link on your Android device, accept the invite, and install ➡️App Store: Prerequisites: • Apple Developer account ($99/year) • iPhone with TestFlight installed Steps: 1. In Manus, click Publish → select the iOS tab 2. Click Create app and follow the prompts to connect your Apple Developer account 3. Manus will package and upload your app to App Store Connect automatically 4. Wait for Apple to process your build 5. You'll receive an email from TestFlight when it's ready 6. Open the email on your iPhone, tap the link, and install via TestFlight 🔗 Full guide: Let me know what else you'd like to see next!

Natalie 🇸🇬

312,816 просмотров • 6 месяцев назад

Here's how I'm running automated content engine in 2 files 1 markdown file = my wiki 1 html file = my dashboard that's the whole stack. [ the architecture, in plain words ]: LLM wiki = a single markdown file holding my audience DNA, 15 tracked creators, every viral topic from the last 30 days HTML artifact = a single page that reads that markdown file AND can trigger my agents the artifact and the agent talk to each other directly the wiki is the shared brain [ what I actually see when I open it at 9am ]: > 5 trending topics ranked by my audience-DNA fit > 3 KOL posts worth quoting today > last week's saved tweets (so I can ride waves that are still warm) > buttons: [draft tweet] [draft QT] [schedule] [log idea] 1. I click "draft tweet" on a topic 2. the artifact pings my agent 3. agent reads the wiki, drafts in MY voice, returns it to the artifact 4. I edit, schedule, done 15 minutes from morning coffee to 3 scheduled posts [ how to build the same in one evening ]: > step 1: dump your domain knowledge into ONE markdown file (audience profile, KOL list, content rules, voice guide, anything an agent would need to do YOUR job) > step 2: ask claude to build an html artifact that reads from that file ("here's my wiki, build me a dashboard with these views") > step 3: add buttons for the actions you do daily (draft, schedule, log, score, search — your workflow, not mine) > step 4: wire each button to call your agent via tool calls (so the artifact and the agent talk directly) the moment your artifact reads your wiki AND triggers your agents.. most SaaS tools you currently pay for quietly become unnecessary dashboards I used to pay $50/month for now sit in a single html file I can rebuild in 20 minutes every "I'll build a SaaS for this" idea you had last year is a 200-line file you write in an afternoon if you want to get the same content engine, just reply "CONTENT" and will send you in DMs later we're going from buying software to owning it.

Ronin

50,083 просмотров • 2 месяцев назад

ChatGPT 5.5 is cooked. Claude Opus 4.7 is cooked. Every $420/mo SaaS AI just got an open-source assassin. Mind blown: an open-source desktop AI just hit #7 trending overnight, runs 100% on your laptop, ships with 100+ native integrations, and is quietly killing the entire ChatGPT-subscription era. Introducing OpenHuman by tinyhumansai -> your Personal AI super intelligence. Private. Simple. Powerful. Two weeks ago they quietly dropped it on GitHub. Today: 300+ stars, 100+ daily paying users, 1,129 commits, zero marketing budget. > What is OpenHuman? A native desktop agent (macOS, Windows, Linux) that lives on YOUR machine instead of feeding your data back to OpenAI. Download the app, sign in once, and the agent harness gives you 100+ native connectors out of the box: Gmail, Slack, Notion, GitHub, Reddit, Instagram, Calendar, Drive, Telegram, Discord, and dozens more. One click each. From that moment it builds an encrypted, on-device knowledge base of your entire digital life. No terminal. No Python envs. No API keys. No CLI. > What the agent actually does: Steven, the creator, just dropped a Loom showing real prompts: - "Send Mark a joke" -> drafts in your voice and ships it. - "List my top 5 emails today" -> surfaces what matters from a flooded inbox. - "Summarize that thread and email it to the team" -> done in 3 seconds. One prompt --> multiple connected tools --> end-to-end execution. No tab-switching. > What's actually inside: - Screen intelligence -> the agent SEES what's on your screen and feeds it into your local context. - Memory-aware keyboard autocomplete -> system-wide, in YOUR voice, trained on YOUR past replies. Gmail Smart Compose for your entire OS. - Local knowledge base -> every email, message, and note parsed, embedded, encrypted, on YOUR device. Day 30 it knows you better than your therapist. - 75% Rust core -> memory-safe, brutally fast, runs local AI directly on your machine. > The "but wait" moment: OpenClaw and Hermes Agent are excellent. But they live in the terminal. Virtualenvs. SKILL.md files. Shell debugging at 2am. OpenHuman doesn't ask any of that. Their README compares itself to "The Tet" from Oblivion -- that alien superintelligence Morgan Freeman calls "a brilliant machine". And tomorrow they're dropping the official OpenHuman mascot. Sneak peek already in Steven's Loom. The cloud-first AI decade is ending. OpenHuman is GPL-3, fully auditable, shipping a release every few days. Save this -- you just got the link to the thing replacing every SaaS AI on the market. -> Repo:

slash1s

70,687 просмотров • 2 месяцев назад

ClawTeam v0.2.0 is here. One CLI to coordinate any coding agent — Claude Code, Codex, OpenClaw, nanobot, and more — into a self‑organizing swarm that plans, builds, and ships together. What's new in v0.2.0: 1) - Gource Visualization — Watch your agent swarm’s Git activity in real time. Clear. Visual. Instant. Run: clawteam board gource --live See every commit, branch, and merge as it happens. Track what each agent is doing. 2) - Runtime Profiles — A provider‑aware configuration system. Switch between Claude, Kimi, and Gemini anytime. No need to edit environment variables. Run clawteam profile wizard. Follow the interactive setup. Done in minutes. 3) - Git-Based Context — Full worktree isolation with built‑in conflict detection and change tracking. Each agent works on its own branch, and the leader can see everything clearly in one place. 4) - Stability & Hardening — Spawn/workspace conflict fixes, improved tmux integration, message normalization, P2P liveness with lease-based detection. This release is about making the foundation rock-solid. --------------------------------------------------------- To show what a coordinated agent swarm can actually do, we ran 1 Claude Code orchestrating 8 Claude Code agents to build a robotics simulation system optimized for Apple Silicon — from scratch. 8 hours. 300+ PRs. One running simulator. Check the result: --------------------------------------------------------- Huge thanks to the open-source community for the feedback, issues, and PRs that shaped this release. ClawTeam is built in the open because we believe multi-agent coordination should be a shared primitive, not a proprietary moat. Try it: pip install clawteam Docs: GitHub: #ClawTeam #nanobot #AIAgents #openclaw #ClaudeCode #Cursor

Chao Huang

25,101 просмотров • 4 месяцев назад

TradingView to Screener & Marketsmith Extension ⚠️Please before asking in comment or DM, how to install, please read the full post, i have given the instructions also, and if you still cant follow it, You will find plenty of video on youtube on how to install the plugin, or ask AI⚠️ 🙏This was a killer timesaver tool for me, Hope it helps all, please share your feedbacks or gratitude in comments, will be sharing more plugin like this in future as well ☑️Overview This Chrome Extension natively integrates with TradingView, adding quick-access buttons to your top chart header. These buttons allow you to instantly view fundamental financial data for the currently active stock symbol on or evaluate it on MarketSmith India. > Features : > Screener New Tab: Opens the consolidated financials page for the current active TradingView symbol in a new browser tab. > Screener Splitscreen: Toggles a bottom-half split screen (iframe) inside the TradingView tab to load the page directly over your charts, letting you perform fundamental and technical analysis synchronously. > Marketsmith New Tab: Opens the stock evaluation page on MarketSmith India for the active symbol in a new tab. > This extension utilizes the Manifest V3 standard APIs and works smoothly across all modern Chromium-based browsers, including: Google Chrome Microsoft Edge Brave Browser Vivaldi Opera Arc Browser ⭐ Installation Instructions (Local/Unpacked) -> 1)Download or keep this entire extension folder on your computer. 1) Download or keep this entire extension folder on your computer: For Google Chrome: type chrome://extensions/ in the address bar. For Microsoft Edge: type edge://extensions/ in the address bar. For Brave: type brave://extensions/ in the address bar. Enable Developer mode using the toggle switch (usually located in the top-right corner). 3) Click the Load unpacked button that appears. 4) In the file explorer popup, choose this exact directory (the folder containing the manifest.json file). 5) The extension is now successfully installed! Open up TradingView to play around with the newly injected buttons in the top header. Github Repo ->

Roshan Kumar

14,810 просмотров • 4 месяцев назад

You guys asked for a deeper sim and that's what 2.9 is. Submitted. Rebuilt Avatars: Player avatars completely redone. 14 hairstyles, 8 skin tones, 6 hair colors, beard options, all at higher resolution. Over 50,000 combinations across the 4,700+ players the game generates. Coach avatars got the same revamp. Player Cards: Cards rebuilt from scratch to feel like a broadcast graphic. Team-color gradient hero that pulls each program's actual colors, oversized OVR display, archetype line, headline stat strip, and tabs for stats, ratings, game logs, and bio. Coaching Systems: Biggest gameplay shift in this build. You pick an offensive scheme and a defensive scheme and they change how your team plays. 6 offensive options (Run & Gun, Motion, Pick & Roll, Princeton, Post-Centric, Balanced) and 6 defensive options (Man, 2-3, 3-2, 1-3-1, Press/Trap, Pack Line). Run & Gun teams shoot more threes and turn the ball over more. Pack Line teams give up fewer paint points but allow more open looks. Same modifiers run in live games and background sims so your scheme matters either way. Scout Cards: Tap any team and you can now see their offensive and defensive playstyle laid out in full. Real game-planning is finally possible. Facing a Press team, you can scheme around it. Facing a 2-3 zone, you can prep your shooters. Pull up an opponent before tipoff and actually know what you're up against. Recruiting Pipelines: Recruit generation now mirrors real basketball geography. Top talent clusters in real hotbeds. Class rank, position rank, and state rank show on every recruit. All-American badges flag elite prospects and State Player of the Year badges call out standouts in smaller states, but neither is an auto cheat code. An All-American is a strong prospect on paper, development still matters, and not every one pans out. State POY varies a lot by state. The real edge is taking a job in a strong pipeline state. Better states produce better players more often, and coaching in a hotbed gives you home state advantage on recruits everyone else is fighting over. Smarter Rankings + Bug Fixes: Rankings rebuilt to reflect who's actually playing the best. Quality wins matter, strength of schedule matters, bad losses hurt. Plus a long list of bug fixes from your Discord reports. If you posted a bug, it's been looked at even if I didn't reply directly. Android: Thank you for everyone who has been testing! We have finally got aversion that is ready for release and I am submitting it right now! I will keep you guys updated on when it drops❤️

Hardwood Empire

33,574 просмотров • 3 месяцев назад

$VET, #VeFam. In this video, I demonstrate in less than 4:30 minutes how to create an AI agent on veworld(.)ai. Watch me build a Mr. Robot Monologue Writer agent. If you haven't seen Mr. Robot, I suggest you watch it! This is just early bird access. The options for tools and integrations and such are limited, but what exists is already working quite well. The process is easy peasy. The UI is simple, but effective. It asks you for... 1. Role & Purpose 2. Voice & Style 3. Behavior 4. Rules 5. Tags 6. Avatar image 7. Welcome text. 8. Test drive before publication. ... and that's about it. This free version lets you have at most 3 agents, I am told. This implies that there is also a paid version. I'm all for it, because it sounds to me like VeChain is ready to do real business! I am providing feedback to Jérôme Grillères in order to help improve VeChain's AI agent marketplace. I didn't have to set up anything. The web UI is all I needed! The agent is running on Claude Sonnet 3.7. I did not have to provide a Claude API key. We seem to be riding along on VeChain's. I hope there'll be a choice for more models, including ChatGPT, in the future. This is so user friendly, that I can easily imagine that this would take off in a big, big way. I'm definitely building on this, when it goes into production with full features. Even if my own AI agents aren't successful, then I'm sure others' will be. And that means the $VET / $VTHO / $B3TR flywheel is going to take off in a big, big way. I, for one, am here for it. (See the reply below for the listing of the AI agent I just created.)

₿lackthorne AI

16,562 просмотров • 1 месяц назад

GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre

Qiusheng Wu

18,075 просмотров • 1 месяц назад