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Introducing the Victrix Pro BFG Reloaded Wireless Modular Controller 🎮 3 Customizable Modules with Hall-Effect Technology 🕹️Ergonomic 6-Button Fightpad module with Kailh microswitches 🛑5-stop Clutch Triggers Order now: #victrix #turtlebeach #EVO
49,134 просмотров • 1 год назад •via X (Twitter)
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![[New Xbox Controller Review] #ad Special thanks to Qrdgame_offcial for supplying me with a review unit of their Ferrox M5 Xbox & PC Controller QRD Ferrox M5 The QRD Ferrox M5 is a Wireless Xbox One–style gamepad with a transparent design. Since it targets Xbox One natively, it works automatically on PC and Xbox Series S/X. The included 2.4Ghz USB Dongle also supports Switch and Android with the right adapter (USB C), but I was not able to test those in time for this review. A Wireless Xbox Controller The QRD FERROX M5 comes in a familiar Xbox layout with Hall Effect joysticks, RGB rings around the sticks, and a magnetic & detachable clear shell that shows the internals. The controller feels very similar to a standard Xbox pad in terms of shape and size, but it’s slightly lighter at compared to the usual Xbox controller weight. The lighter weight makes it easier to hold for longer sessions without hand fatigue. The D-Pad is surprisingly good at dialing special moves feels as solid and responsive as the official Xbox controller, and that’s impressive at a lower price point. I spent a few days trying out the Mortal Kombat Legacy Kollection exclusively using this controller and I did not notice any difference at all. Capabilities From what I’ve tested, the controller performs extremely well for action games, fighting games, and shooters. The Hall Effect joysticks offer smooth movement and precise control with no drift issues. The D-Pad uses micro switches, so every input is tactile and accurate. The back triggers support an adaptive “trigger stop” mode, which shortens the travel distance for faster reaction time in FPS games or quicker blocks in Fighting Games. You also get 4 back macro buttons, turbo mode, and adjustable joystick sensitivity with deadzone options. Vibration strength and RGB lighting modes are also customizable. What can it do The FERROX M5 includes an 800mAh battery that lasts around 8 hours of gameplay. It only uses the 2.4Ghz wireless connection, not Bluetooth, so it always requires the included USB Dongle. The good thing is once you sync it with your Xbox or PC, you don’t need to sync it again—it carries over between both devices automatically. The 2.4G connection is stable and low latency, and the controller has a 3.5mm headphone jack for audio and mic support. It also features a quick calibration system to keep sticks and triggers accurate over time. The overall grip and shape feel close to the official Xbox controller, comfortable for long gaming sessions, and the transparent shell gives it a distinct look. Areas of improvement I initially had trouble charging the controller while playing because connecting it to the Xbox via USB would disable all inputs, making it unusable in wired mode. But luckily QRD Support helped and provided me with an updat - I had to connect it to a PC, download the firmware tool from QRD’s website, and update the controller manually. After installing the new firmware, the controller can now charge while being used normally on Xbox, so the issue is fully resolved. The Xbox button also behaves differently on Xbox, where the single press acts like hold and the hold acts like single press; this issue doesn’t appear on PC. Syncing with the dongle took a few attempts on both Xbox and PC, but once paired, it never needed syncing again. The wireless mode is strictly 2.4G with no Bluetooth support, so it cannot connect without the dongle, though the benefit is that one pairing works across both Xbox and PC. Final Summary ✅ Hall Effect Joystick ✅ Lights in the dark ✅ Good D-Pad for input dialing ✅ Light Controller ❌ First sync can be annoying on PC ❌ No bluetooth for phone usage - Dongle is necessary ❌ Needs an update for the Xbox Wired issues which require a PC The Controller is available on Amazon for $59.99, and will be part of the Black Friday Deals on their official website for even more discount! Amazon Link Website Link](https://image.24vids.com/tw-1990087471603007955/amplify_video_thumb/1990062771694878721/img/urCX60VWfT8T5SAm.jpg)
![全网疯传神老师这个提示词太好玩了 我改了一版裸眼3D版本 然后又花了1美金做了一个视频 产品展示历史3D图提示词： Role & Subject: A museum-grade, hyper-realistic 16:9 3D infographic masterpiece titled "THE EVOLUTION OF [Product Name]". The visual style combines cinematic product photography with advanced technical blueprint aesthetics, emphasizing extreme depth and tangible 3D presence. The Hero Lineup (3D Volumetric Core): • A complete chronological sequence of 8-12 historical versions of [Product Name], from earliest prototype to futuristic concept • Arranged on a precision-engineered floating ruler/timeline base with depth shadows and reflection mapping • 3D Rendering Enhancement: - Octane Render + Unreal Engine 5 volumetric lighting - PBR (Physically Based Rendering) materials with: * Sub-surface scattering for organic materials * Metallic/roughness maps for mechanical parts * Micro-displacement for surface texture depth - Each object casts realistic shadows on the background plane - Edge rim lighting (0.3 intensity) to separate objects from background - Depth of field: Sharp focus on center objects, subtle bokeh on edges • Material Evolution Story: - Early versions: Weathered textures (rust, wear marks, patina) - Mid-era: Industrial matte finishes with visible manufacturing seams - Modern: Pristine glossy surfaces with screen-space reflections - Future: Holographic elements with volumetric fog effects Brand Atmosphere (The 3D Canvas): • Background: Deep [Brand Color] with physical texture layers: - Embossed vintage patent drawings (normal-mapped) - Floating translucent glass panels with engraved engineering notes - Volumetric god rays piercing through layered newspaper clippings - Particle system: Subtle floating dust motes with motion blur • Header Zone: - Brand logo: Extruded 3D metal badge with bevel and emboss - Title typography: Carved letterpress effect with depth shadows - Metallic foil stamp simulation with anisotropic highlights The "Hyper-Dense" 3D Information Layer: A complex, organized data-maximalist layout with spatial depth: 1. Dense Annotation Network: - Ultra-fine white hairlines (0.5px) connecting components to data blocks - Lines have slight 3D curvature following perspective rules - Connection nodes: Small metallic spheres with Fresnel reflections 2. Contextual Era Modules: - Floating glass panels hovering above the timeline - Each decade module has: * Frosted glass material with transparency gradient * Iconographic markers in raised relief * Subtle animated pulse effects (optional) 3. Magnifying Lens Inserts: - Circular/hexagonal cutouts with beveled glass edges - Extreme macro close-ups showing: * Material grain (wood, metal, plastic crystals) * Internal mechanisms with exploded-view depth - Lens distortion shader for realism 4. Technical Specs Strip (Bottom): - Structured data bar with 3D segmented panels - Each cell: Slightly recessed with inner shadow - Typography: Laser-etched effect on brushed metal texture - Micro LED indicator lights between data points 3D Enhancement Technical Specs: • Rendering Engine: Octane Render / Unreal Engine 5.3 • Global Illumination: HDRI environment map (studio lighting setup) • Camera Settings: - Focal Length: 35mm (slight wide-angle for information density) - F-Stop: f/5.6 (selective focus) - Chromatic Aberration: 0.2 (photographic realism) • Post-Processing Stack: - Ambient Occlusion (AO) for micro-shadows - Screen Space Reflections (SSR) - Volumetric lighting with light shaft scattering - Color Grading: Cinematic LUT with lifted blacks - Sharpness: 130% (crisp data legibility) • Material Library: - Metals: Anisotropic brushed aluminum, polished chrome - Glass: IOR 1.52 with caustics - Plastics: Translucent with thickness variation - Paper: Subsurface scattering for vintage documents Output Parameters: --ar 16:9 --v 6.1 --style raw --stylize 400 --quality 2 --chaos 10 Additional Flags (for AI generators): --3d-rendering --volumetric-lighting --octane-quality --pbr-materials --depth-of-field Metadata Variables to Replace: [Product Name] → Your subject (e.g., "POP MART Designer Toys") [Brand Color] → Primary brand color (e.g., "Deep Navy Blue #1A2332") [Material Vibe] → Core material story (e.g., "Vinyl to Resin to Smart Materials") [Key Components] → Specific product features (e.g., "Joints, Paint Finish, Packaging") Pro Tips for Maximum 3D Impact: 1. Use "isometric 3D layout" for uniform depth perception 2. Add "floating holographic UI elements" for futuristic tech feel 3. Include "cross-section cutaway views" to show internal structure 4. Apply "chromatic aberration" around high-contrast edges for lens realism 5. Insert "measurement calipers" as 3D props for scale reference](https://image.24vids.com/tw-1997925011412426988/amplify_video_thumb/1997924816490582016/img/n2nlH3VE-vTOWHKr.jpg)
![Drew Bredvick compressed Vercel's sales team from 20 people to 2. And I think it's one of the best case studies in the history of AI and GTM. the problem: Sales development doesn't compound. Headcount does. Every additional SDR brings another salary, another ramp period, another personal definition of what "qualified" actually means. the solution: Drew built an AI agent that evaluates every inbound lead: researching the company, scoring intent, and routing only the credible opportunities to the sales team. Everything else is handled automatically. the result: Now two people, focused exclusively on edge cases and high-touch accounts handle the entire sales operation at the $10B company. Andddd the previous team wasn't let go. They were moved into "higher-value work" within the company. here's the play in six steps: 1. Shadow your best performer 2. Pull 90 days of historical data 3. Iterate until 95% agreement 4. Run in parallel with people 5. Get co-sign 6. Hand your top dogs the controller 1. shadow your best performer Sit next to your best SDR for a full day and document every decision: when they qualify, when they disqualify, every signal they check, every button they click. Drew found the real qualification criteria was not in process docs. Reps were checking LinkedIn profiles, scanning websites for tech stack indicators, and pattern-matching on how leads found Vercel. None of it was documented. 2. pull 90 days of historical data Export 90 days of contact form submissions with outcomes attached. Did they close? Ghost? Become a $500K whale? 3. iterate until 95% agreement Open any code editor with AI built in. Drop your CSV into a new project and start a conversation: "Look at this lead data. I'm going to give you a prompt to evaluate leads. Tell me if each one is qualified or not." Run this prompt against a batch. Compare the agent's calls to what actually happened—not what humans decided, but whether the lead converted. Find disagreements. Fix the prompt. Repeat. You're aiming for 95%+ agreement with historical outcomes. starter prompt: You are a lead qualification agent. For each lead, analyze the following signals and provide your reasoning BEFORE your decision: Company signals: website quality, tech stack, company stage, employee count Intent signals: how they found us, what they asked for, urgency indicators Fit signals: ICP match, use case alignment, budget indicators Structure your response as: REASONING: [Your analysis of each signal category] CONFIDENCE: [High/Medium/Low] DECISION: [Qualified/Not Qualified] NEXT ACTION: [Route to sales / Auto-respond / Request more info] Be conservative. You naturally want to qualify leads to make humans happy. Resist that urge. A false positive wastes sales time. A false negative just means we follow up later. 4. run in parallel with people Once the prompt works with historical data, prove it works live with your sales team: Here's what to track: - agreement rate: Agent vs. human decisions. - accuracy rate: Agent vs. actual outcomes. - processing time: Lead received → decision made. - confidence distribution: How often the agent is certain vs. uncertain - error log: When it got it wrong, and why. 5. get co-sign Drew started chatting with individual contributors. He got them to validate that the agent was making good calls. Then he partnered closely with the leader of the SDR team. He then let leaders of the sales team tweak qualification criteria, the leaders of the marketing team adjust scoring weights, and let leaders of the ops team define routing rules. b/c when leadership builds alongside you, they stop being gatekeepers and start being advocates. 6. hand your top dog the controller Flip the switch!! The agent processes every lead, makes a qualification decision, and even drafts the response. But a person reviews before anything goes out and has more time to check the genuinely f******* tough and weird cases. The system recommends; humans decide. The same loop should work In other parts of the org too: customer support triage, contract review, expense approvals, and even content moderation. Full playbook below w/ prompts and Drew's handholding. 👇](https://image.24vids.com/tw-2014000574195261730/amplify_video_thumb/2013993080546865152/img/7NvFFePIizJUtyIx.jpg)
