OutVersus

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OutVersus

OutVersus

@OutVersus_

THE WORLD IS YOURS

Cat5e 가입일 Ağustos 2024
679 팔로잉64 팔로워
dax
dax@thdxr·
who's got something good i'm buying
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dax
dax@thdxr·
man you guys already got to all the good domains and npm packages and you don't do anything with em
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Bessi
Bessi@LLMpsycho·
Droid Mission in a nutshell, 24h + running. Damn.
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OutVersus
OutVersus@OutVersus_·
@Zai_org my lite plan still doesn't have access to just 5.0...
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Z.ai
Z.ai@Zai_org·
GLM-5.1 is available to ALL GLM Coding Plan users! z.ai/subscribe
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jason liu
jason liu@jxnlco·
Thanks @thsottiaux We reset rate limits so you can try out plugins!
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Michel Lieben
Michel Lieben@MichLieben·
Giving away a full Claude Project setup that builds advanced n8n workflows from a single prompt. This completely changed how we build automations at our $7M ARR agency. You write a basic prompt describing your workflow. Claude (Sonnet 4.5) reads it, breaks it down, and outputs an n8n JSON file you can import directly. It handles field mappings, data flow between nodes, trigger configurations, conditional branches, sticky notes for documentation, and error handling. What's included: → Full Claude Project setup you can copy-paste and run immediately → 70+ n8n documentation pages extracted from the official GitHub repo, so Claude knows the syntax and node references → Templates and frameworks for use cases like lead routing and social listening → Real prompts vs. the workflows Claude actually built, so you can see what worked and what didn't → SOPs to update the documentation every time n8n ships a new feature "How to build n8n workflows?" has always been harder than "what n8n workflow should I build?" This flips it. Spend your time thinking about which automation moves the needle. Let Claude handle the build. Reply "PROMPT" and I'll DM the full setup guide. Must be following.
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OutVersus
OutVersus@OutVersus_·
@chongdashu B for sure. I'm hoping that's a cheaper model too 😅
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Chong-U
Chong-U@chongdashu·
Sora is being discontinued - but I still need a way to generated animations for my game sprites with AI. Decided to try different models → Veo 3.1 Fast → Seedance v1 → Hailuo-02 → Kling v3 Blind test of a punch animation below - which do you like the most?
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Timothy Lindblom
Timothy Lindblom@timothylindblom·
Introducing Newly. The world's first Agentic app builder. RT + Comment "Newly" and I'll send you 100 apps to make $10K/mo.
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Luc
Luc@investingluc·
here is the prompt I used on @perplexity_ai max (Computer)...feel free to mess around with the weightings, etc. ----------------------- PROMPT: Build “Should I Be Trading?” — Bloomberg Terminal-Style Market Dashboard Build a live, auto-refreshing Bloomberg Terminal-style web dashboard called “Should I Be Trading?” that evaluates the current stock market environment and outputs a clear, actionable trading decision for swing traders. --- Core Output The system must display: 1. Decision: YES / CAUTION / NO 2. Market Quality Score: 0–100% 3. Execution Window Score: 0–100% (separate) 4. Plain-English Summary: concise explanation of the environment --- Data Inputs (Live or Latest Available) Volatility / Risk - VIX level, trend (5d slope), and 1-year percentile - VVIX (if available) - Put/Call ratio (estimate if needed from VIX regime) Trend & Structure - S&P 500 (SPY) vs 20 / 50 / 200-day moving averages - QQQ vs 50-day moving average - SPY 14-day RSI - Market regime classification: uptrend / downtrend / chop Breadth - % of stocks above 20d / 50d / 200d moving averages - NYSE Advance/Decline line + daily ratio - Nasdaq new highs vs new lows - McClellan Oscillator (optional if available) Momentum / Participation - All 11 S&P sector ETFs: XLK, XLF, XLE, XLV, XLI, XLY, XLP, XLU, XLB, XLRE, XLC - Top 3 vs bottom 3 sector performance (relative strength spread) - % of stocks making higher highs Macro / Liquidity - 10-Year Treasury yield (level + short-term trend) - Dollar Index (DXY trend) - Fed stance (derived or labeled: hawkish / neutral / dovish) - FOMC calendar (flag if event within 72 hours or same day) - Optional: CPI / Jobs flags --- Scoring System Calculate category scores (0–100): - Volatility: 25% - Momentum: 25% - Trend: 20% - Breadth: 20% - Macro/Liquidity: 10% Then compute: Market Quality Score = weighted average --- Decision Logic - 80–100 → YES Full position sizing, press risk - 60–79 → CAUTION Half size, A+ setups only - <60 → NO Avoid trading, preserve capital --- Execution Window Score (Critical Layer) Separate score that evaluates whether setups are actually working: - Are breakouts holding above pivot levels? - Are leading stocks maintaining gains after breakout? - Are pullbacks being bought quickly? - Is there multi-day follow-through? Score 0–100 and factor into final explanation (but NOT the main score weighting). --- UI / UX Requirements (Bloomberg Terminal Style) Visual Style - Dark blue/black background - Monospace font - Green / red / amber indicators - Minimal, dense, high-signal layout --- Layout Top Bar - Scrolling ticker (SPY, QQQ, VIX, DXY, TNX, sectors) - Status indicator: LIVE / UPDATING - Last updated timestamp (“updated 12s ago”) - Manual refresh button --- Hero Panel - Large “Should I Trade?” decision badge (YES / CAUTION / NO) - Circular score visualization (0–100%) - Subtext: “Market Quality Score” --- Core Panels (Grid) Each panel includes: - Current value - Direction (↑ ↓ →) - Interpretation (healthy / weakening / risk-off) Panels: 1. Volatility 2. Trend 3. Breadth 4. Momentum 5. Macro --- Sector Heatmap - Horizontal bar visualization of 11 sector ETFs - Highlight leaders vs laggards --- Scoring Breakdown Panel - Show weight + score per category - Visual contribution to total score --- Alert Banner - Display when FOMC / CPI / major macro event is imminent --- Terminal Analysis (AI Layer) Generate a short explanation like: “This is a strong trend environment with expanding breadth and moderate volatility. Sector leadership is concentrated in technology and industrials. Favor selective swing trades with disciplined risk.” --- Mode Toggle - Swing Trading Mode - Day Trading Mode (adjust thresholds slightly tighter and faster) --- Technical Requirements - Auto-refresh every 45 seconds - Server-side cache (30 seconds) to reduce API load - Loading skeleton states while fetching - Error handling for missing data - Modular architecture (easy to swap APIs) --- Output Requirements Return: 1. Full frontend layout (React preferred, Tailwind optional) 2. Backend/data aggregation logic (Node or Python) 3. Clear scoring formulas (editable) 4. Example output using current/latest market data 5. API recommendations (free + paid) --- Success Criteria - Clean, fast, high-signal UI - Accurate regime detection - Simple, trustworthy YES / NO output - Feels like a personal risk manager, not just a data dashboard ♥️Luc
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Luc
Luc@investingluc·
I made a "should I be trading?" dashboard. Scores the market across 5 pillars: - volatility (put/call ratio, vix, positioning) - trend (spx vs 20d, 50d, 200d ma's) - breadth (advancing/declining, nas highs/lows) - momentum (sector leaders, laggards, % participation) - macro (fomc, rates, geopolitics) Each is weighted, combined, and averaged to give me a score for the current environment. Basically a yes, no, or stay small. Sometimes I just need someone (or something) to remind me to stay out. Happy to share the prompt if you guys want it...but I made this with @perplexity_ai's Computer.
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OutVersus
OutVersus@OutVersus_·
i just hired an ai cmo from @askokara to help grow so far it has: • identified reddit opportunities • discovered seo issues • analyzed competitors • found geo issues Pretty insightful and very easy to use.
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John Siwicki
John Siwicki@siwicadilly·
This is another amazing feature of @zocomputer being able to bring in my other subscriptions.
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Alexander Bittan
Alexander Bittan@alexanderbittan·
I have been loving using Perplexity Computer. If you haven't tried it yet I highly recommend it. @perplexity_ai
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OutVersus
OutVersus@OutVersus_·
@chongdashu I've just set it up after reading this. Does feel more polished than openclaw
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OutVersus
OutVersus@OutVersus_·
@KingBootoshi @MentraGlass legit. been working on my hacked metas and im spending more time debugging than developing. might as well get one of these. im in
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BOOTOSHI 👑
BOOTOSHI 👑@KingBootoshi·
AWWWW SHIT MY OPEN SOURCED AI @MentraGlass CAME IN WHAT SHOULD I BUILD W THEM AHAHAHAHA
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God of Prompt
God of Prompt@godofprompt·
Steal my Claude Code prompt to plan and build any app from scratch with zero coding experience👇
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OutVersus
OutVersus@OutVersus_·
@chongdashu Do you see a noticeable difference between planning with GPT 5.2 vs planning with Codex 5.3?
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Chong-U
Chong-U@chongdashu·
Progress on my Final Fantasy Tactics inspired vibe coded game → new character sprites + animations → 2 different classes (melee +range) → check out that opening map swirl! → compass → facings All done with → GPT 5.2 High for planning → Codex 5.3 High for execution.
Chong-U@chongdashu

When vibe coding games... I always make sure to have a test scene for → player animations → camera → controls Helps you catch bugs that might not be as obvious in the main game. Without peeking to the right video... Can you spot the issue with the left video?

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Elon Musk
Elon Musk@elonmusk·
How to create amazing images with Grok Imagine. You can also ask @Grok to generate image and video prompts.
Déborah@dvorahfr

GROK IMAGINE PROMPT : "highly stylized, hyper-realistic figure of a female warrior posed en pointe like a classical ballet dancer. She balances on the tip of her right foot, wearing pale pink satin ballet pointe shoes with ribbons wrapped tightly around her ankles and calves. Her left leg is lifted and bent slightly behind her, contributing to a dynamic, mid-motion pose. Her upper body is clad in intricately engraved metallic armor reminiscent of ancient Greek empire. The breastplate is form-fitting, sculpted, and heavily ornamented with swirling relief patterns. Matching armored greaves cover her shins, and detailed bracers protect her forearms. The metal has a polished bronze or antique gold tone with elaborate filigree work throughout. She holds a large, round shield in her left hand. The shield is richly decorated. In her right hand, raised high behind her head, she grips a short sword with a narrow blade. Her helmet is covering most of her head and face, with a pronounced crest plume sweeping backward. Contrasting with the heavy armor, she wears a soft, flowing, pale pink skirt made of sheer, gauzy fabric. The skirt flares outward as if caught mid-spin, reinforcing the ballet aesthetic and creating a striking juxtaposition between delicacy and martial strength. The background is neutral and painterly, with muted gray-brown tones and soft lighting that highlights the metallic textures and the musculature of her legs. The lighting creates subtle shadows that enhance the three-dimensional, sculptural quality of the figure. Overall, the image blends classical warrior iconography with the grace and poise of ballet, creating a powerful fusion of strength and elegance." I often add or remove details afterwards thanks to Grok Imagine's editing features. For this image I made about 5 variations on the lighting, the background and I don't remember what other details. @elonmusk I hope I have answered your question.

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OutVersus
OutVersus@OutVersus_·
@cherry_cc12 What works best for general purpose on my single 3090 24gb?
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Chen Cheng
Chen Cheng@cherry_cc12·
Yes, we just dropped it — Flash, 35B-A3B, 122B-A10B & 27B 🚀 Quick take from me: Flash is basically 35B-A3B but with longer context out of the box — great for production. 27B Dense is honestly my favorite for indie devs. Runs on a single GPU, multimodal, and I've been playing with it myself — the Code Agent and reasoning are legit good. 122B-A10B finally shows what this architecture is really capable of. And 35B-A3B is so insane value. Smart, fast to run, highly efficient. Hard to beat at this size. Hope you like it — and seriously, try our model. Your feedback is how we get better 🙏 try them now: chat.qwen.ai
Qwen@Alibaba_Qwen

🚀 Introducing the Qwen 3.5 Medium Model Series Qwen3.5-Flash · Qwen3.5-35B-A3B · Qwen3.5-122B-A10B · Qwen3.5-27B ✨ More intelligence, less compute. • Qwen3.5-35B-A3B now surpasses Qwen3-235B-A22B-2507 and Qwen3-VL-235B-A22B — a reminder that better architecture, data quality, and RL can move intelligence forward, not just bigger parameter counts. • Qwen3.5-122B-A10B and 27B continue narrowing the gap between medium-sized and frontier models — especially in more complex agent scenarios. • Qwen3.5-Flash is the hosted production version aligned with 35B-A3B, featuring: – 1M context length by default – Official built-in tools 🔗 Hugging Face: huggingface.co/collections/Qw… 🔗 ModelScope: modelscope.cn/collections/Qw… 🔗 Qwen3.5-Flash API: modelstudio.console.alibabacloud.com/ap-southeast-1… Try in Qwen Chat 👇 Flash: chat.qwen.ai/?models=qwen3.… 27B: chat.qwen.ai/?models=qwen3.… 35B-A3B: chat.qwen.ai/?models=qwen3.… 122B-A10B: chat.qwen.ai/?models=qwen3.… Would love to hear what you build with it.

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corbin
corbin@corbin_braun·
if your email has this. I will not respond.
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