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Introducing Deepwiki MCP! 🔥 - Get fresh Docs in Cursor - Free, no signup or API Key! - Fetch a single page or multiple (Unofficial MCP, couldn't wait!) Example: outdated Tailwind v3->v4 upgrade vs updated Deepwiki upgrade. Link in the Comment 👇

Kevin Kern

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88,019 Aufrufe • vor 1 Jahr •via X (Twitter)

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Introducing Generative UI for MCP Apps One server. Infinite interfaces. Instead of building views, define a component catalog. The AI assembles the right UI based on your API, CLI or MCP server tools. Works in Claude, ChatGPT, VS Code, Cursor and more

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💬 We get asked Can I manage my strategies without clicking through the platform? ❕ Answer from a GT App Top Trader: Yes, and it’s a total game-changer. I’ve started using the GT Protocol MCP server to connect the platform directly to my AI agent. 🔸 Fast Integration Grab the MCP server from the GT Protocol GitHub and follow the repo guide, it’s a quick setup that only takes a couple of minutes. Once it’s ready, you can connect Claude, Cursor, or Claude Code to your account. Just tell your agent to authenticate, and your tokens will be saved automatically. 🔸 Trading via conversation Now, I use natural language for everything. For example, I just ask for a backtest, get the win rate in seconds, and deploy to a demo account with one command. 🔸 Instant monitoring I don't click around anymore. I just ask "What’s running right now?" to get a full breakdown of active bots and profits delivered straight into the chat. No more forms or clicking, just pure AI-driven trading! 👉 Get the MCP Server

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BSCN

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this FREE MCP just replaced my entire $12K/month brand research team (I literally made this FREE) while you're downloading n8n workflows you'll never actually use... this thing creates detailed psychological profiles from any Twitter account or website in 30 seconds - zero installation - no python - no custom code - just pure intelligence here's what's actually happening: most people think AI automation has to be complicated they're trying to become overnight developers building complex workflows that break after one week burning hours on setups they'll abandon in 3 days meanwhile professionals are using simple tools that actually solve business problems you don't need to become a developer to use AI intelligently you just need the right tools this MCP gives you what $500/hour consultants charge for: → complete psychological profiles of any Twitter account → brand DNA extraction (colors, fonts, layouts) → content strategy insights normally reserved for agencies → analysis detailed enough to recreate entire brands think about what this replaces: expensive consultant fees ✓ manual competitor research ✓ hours of brand analysis ✓ complex automation nightmares ✓ the setup is embarrassingly simple: step 1 → click link in comments step 2 → get your MCP code step 3 → add to claude settings step 4 → analyze any brand instantly total time: 30 seconds we're scaling this to analyze 1,000+ tweets soon adding LinkedIn, YouTube, TikTok, Instagram next early access is completely free right now while everyone else is trying to learn python... you'll be extracting million-dollar brand insights in under a minute comment "MCP" + repost this + like + bookmark (you must follow or I CANT DM) i'll drop the link in your DMs don't sleep on this every day you wait is premium intelligence you're leaving on the table

4nzn

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Google Maps Platform

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YanXbt

29,127 Aufrufe • vor 1 Monat

I just built a Claude Code skill that scores whether your landing page actually keeps your Meta ad's promise 🤯 Drop in your ad and the page it points to. It reads both, scores the "ad scent" from click to page, and finds the exact line where the page breaks the promise that won the click. All inside Claude Code. Perfect for DTC brands and media buyers who pour everything into the ad and the CPA but never grade the seam in between. If you're scaling spend on a winning ad, the click is landing on a page that opens with something slightly different, the ad promised 50% off and the page shows full price, the ad hooked "for oily skin" and the page is a generic homepage, and nothing looks broken, but the visitor feels it and bounces... That gap has a name in conversion work: message match. And you already paid for the click you're losing. Here's what it does: → Drop in your ad (headline, copy, offer, CTA) and the landing-page URL → It fetches the live page and reads what's actually above the fold → Grades 7 continuity dimensions: promise, offer, angle, CTA, audience, proof, visual → Shows your ad's words next to your page's words, so every gap is right there → Rewrites your hero headline so the page keeps the ad's promise → Renders a dashboard with a Match Score out of 100 No guessing why the click bounced. No blaming the creative for a page problem. No buying more traffic to fix a copy problem. What you get: → A Match Score on every ad-to-page pair before you scale → The ad-side vs page-side quotes, side by side, for every leak → A hero rewrite you can paste straight onto the page → A dashboard you can hand to your team or client I'm giving away the full skill completely for free. Built 100% in Claude Code. No API keys. Want the skill? > Like this post > Comment "MATCH" And I'll send it over (must be following so I can DM)

I just built a Claude Code skill that scores whether your landing page actually keeps your Meta ad's promise 🤯 Drop in your ad and the page it points to. It reads both, scores the "ad scent" from click to page, and finds the exact line where the page breaks the promise that won the click. All inside Claude Code. Perfect for DTC brands and media buyers who pour everything into the ad and the CPA but never grade the seam in between. If you're scaling spend on a winning ad, the click is landing on a page that opens with something slightly different, the ad promised 50% off and the page shows full price, the ad hooked "for oily skin" and the page is a generic homepage, and nothing looks broken, but the visitor feels it and bounces... That gap has a name in conversion work: message match. And you already paid for the click you're losing. Here's what it does: → Drop in your ad (headline, copy, offer, CTA) and the landing-page URL → It fetches the live page and reads what's actually above the fold → Grades 7 continuity dimensions: promise, offer, angle, CTA, audience, proof, visual → Shows your ad's words next to your page's words, so every gap is right there → Rewrites your hero headline so the page keeps the ad's promise → Renders a dashboard with a Match Score out of 100 No guessing why the click bounced. No blaming the creative for a page problem. No buying more traffic to fix a copy problem. What you get: → A Match Score on every ad-to-page pair before you scale → The ad-side vs page-side quotes, side by side, for every leak → A hero rewrite you can paste straight onto the page → A dashboard you can hand to your team or client I'm giving away the full skill completely for free. Built 100% in Claude Code. No API keys. Want the skill? > Like this post > Comment "MATCH" And I'll send it over (must be following so I can DM)

Mike Futia

10,548 Aufrufe • vor 17 Tagen

Finley AI V2: The Ultimate Raiding Upgrade is Here! Raiding will never be the same. Finley AI transformed engagement with AI-powered, dynamic comment suggestions—and V2 takes it even further! 🔥 What’s New in Finley AI V2? 🔥 ✅ Full Customization – Adjust tone, humor, energy levels, and variation for replies that fit your style. ✅ Predefined Templates – Choose from Recommended, Professional, or Meme options. ✅ Precision Control – Decide on emojis, hashtags, cashtags, and X handles, or randomize for a natural mix. ✅ More Human-Like Replies – Enable typos and set a desired length range for realistic interactions. ✅ Unmatched Flexibility – No two comments look the same, keeping engagement fresh and authentic. With Finley AI V2, every raid is sharper, more strategic, and algorithm-friendly. Say goodbye to repetitive, shadowban-prone comments—this is the future of high-impact raiding. Best of all? It’s FREE for all RaidSharksBot communities! The next level of raiding is here—are you ready?

Finley AI V2: The Ultimate Raiding Upgrade is Here! Raiding will never be the same. Finley AI transformed engagement with AI-powered, dynamic comment suggestions—and V2 takes it even further! 🔥 What’s New in Finley AI V2? 🔥 ✅ Full Customization – Adjust tone, humor, energy levels, and variation for replies that fit your style. ✅ Predefined Templates – Choose from Recommended, Professional, or Meme options. ✅ Precision Control – Decide on emojis, hashtags, cashtags, and X handles, or randomize for a natural mix. ✅ More Human-Like Replies – Enable typos and set a desired length range for realistic interactions. ✅ Unmatched Flexibility – No two comments look the same, keeping engagement fresh and authentic. With Finley AI V2, every raid is sharper, more strategic, and algorithm-friendly. Say goodbye to repetitive, shadowban-prone comments—this is the future of high-impact raiding. Best of all? It’s FREE for all RaidSharksBot communities! The next level of raiding is here—are you ready?

RaidSharks

34,776 Aufrufe • vor 1 Jahr

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

Akshay 🚀

52,426 Aufrufe • vor 5 Monaten

🔥Received Taj Epicure Membership also with Amex Reserve Credit Card valid for 1-year. 👉Earlier, had received Accor ALL membership for 1-year 👉Both Accor ALL and Taj Epicure Memberships are auto-renewed every year till the time your Amex Reserve Credit Card is active. 🔥Amex Reserve Credit Card is the cheapest way to get Accor Explorer Membership. 👉Amex Reserve Credit Card Fee: Rs.11,800 including GST 👉Joining Benefits: 15000 Amex points worth Rs.7,500 or more (11,000 points only if you don’t apply using a referral link.) 👉Plus you get Accor Explorer, Taj Epicure abd Eazydiner Prime memberships every year ✳️ In case, you want to Apply Amex Reserve Credit Card, here is my Referral Link to Apply: 👉 Accor Explorer is a must-have membership if you stay in Accor properties for 5 or more nights in a year. Checkout the benefits you get with Accor Explorer membership 👇👇👇 🏨 Accor Explorer Membership Benefits (FREE with Amex Reserve) Valid across ibis, Novotel, Swissotel, Sofitel and 39+ Accor brands worldwide 🌍 🍽️ Dining Benefits ✅ Flat 30% OFF on Food ✅ 15% OFF on Beverages • Valid across ALL Accor hotels in Asia Pacific • One of the most value-for-money hotel dining memberships 😊 🛏️ Stay Benefits ✅ 15% Discount on Room Rates – Worldwide ✅ Bonus Accor Reward Points on hotel spends ✅ Complimentary Alcoholic or Non-Alcoholic Drinks 🍷🥤for every person once per stay ✅ Late Checkout (subject to availability) ⭐ Accor Loyalty Status ✅ Instant Accor Silver Status • Comes with 20 Status Nights • May get additional 7 bonus nights under ongoing offer • With ~30 status nights, upgrade to Gold Status ✨ Gold Status Benefits: • Higher chances of room upgrades • Priority services • Better overall stay experience (Silver members may also receive upgrades subject to availability.)

🔥Received Taj Epicure Membership also with Amex Reserve Credit Card valid for 1-year. 👉Earlier, had received Accor ALL membership for 1-year 👉Both Accor ALL and Taj Epicure Memberships are auto-renewed every year till the time your Amex Reserve Credit Card is active. 🔥Amex Reserve Credit Card is the cheapest way to get Accor Explorer Membership. 👉Amex Reserve Credit Card Fee: Rs.11,800 including GST 👉Joining Benefits: 15000 Amex points worth Rs.7,500 or more (11,000 points only if you don’t apply using a referral link.) 👉Plus you get Accor Explorer, Taj Epicure abd Eazydiner Prime memberships every year ✳️ In case, you want to Apply Amex Reserve Credit Card, here is my Referral Link to Apply: 👉 Accor Explorer is a must-have membership if you stay in Accor properties for 5 or more nights in a year. Checkout the benefits you get with Accor Explorer membership 👇👇👇 🏨 Accor Explorer Membership Benefits (FREE with Amex Reserve) Valid across ibis, Novotel, Swissotel, Sofitel and 39+ Accor brands worldwide 🌍 🍽️ Dining Benefits ✅ Flat 30% OFF on Food ✅ 15% OFF on Beverages • Valid across ALL Accor hotels in Asia Pacific • One of the most value-for-money hotel dining memberships 😊 🛏️ Stay Benefits ✅ 15% Discount on Room Rates – Worldwide ✅ Bonus Accor Reward Points on hotel spends ✅ Complimentary Alcoholic or Non-Alcoholic Drinks 🍷🥤for every person once per stay ✅ Late Checkout (subject to availability) ⭐ Accor Loyalty Status ✅ Instant Accor Silver Status • Comes with 20 Status Nights • May get additional 7 bonus nights under ongoing offer • With ~30 status nights, upgrade to Gold Status ✨ Gold Status Benefits: • Higher chances of room upgrades • Priority services • Better overall stay experience (Silver members may also receive upgrades subject to availability.)

SpendWisely

30,061 Aufrufe • vor 5 Monaten

Meta Ads MCP just launched and it's TRULY insane. i used to spend years logging into accounts. exporting CSVs. analyzing data across platforms. now i control, optimize, and report on every client account - all in the same Claude chat. so i documented the ENTIRE playbook. covering our EXACT: → setup guide: claude OAuth in 5 steps OR Claude Code config if managing multiple accounts → naming architecture: letting Claude parse your account structure without manual context → daily 5-minute briefing prompt: account health, top performers, underperformers, anomalies, recommended actions → weekly deep-dive: 90 minutes of spreadsheet work down to 8 minutes → campaign creation from scratch through natural language - no Ads Manager → signal diagnostics: pixel health, CAPI status, dataset quality → budget reallocation ran this for a client, saw a 31% revenue increase at the same budget → creative fatigue detection: frequency + CTR trend analysis across all active ads → monthly reporting: 3-4 hours down to 12 minutes → multi-account time math: from 16-24 hours/week to under 3 hours this is the exact infrastructure i wish i had from day one - built after managing +$1M/mo in ad spend across our clients at my meta ads agency and for 24h, EVERYTHING can be yours for free like + comment "MCP" and i'll send it over (must be following + RT for priority access)

Meta Ads MCP just launched and it's TRULY insane. i used to spend years logging into accounts. exporting CSVs. analyzing data across platforms. now i control, optimize, and report on every client account - all in the same Claude chat. so i documented the ENTIRE playbook. covering our EXACT: → setup guide: claude OAuth in 5 steps OR Claude Code config if managing multiple accounts → naming architecture: letting Claude parse your account structure without manual context → daily 5-minute briefing prompt: account health, top performers, underperformers, anomalies, recommended actions → weekly deep-dive: 90 minutes of spreadsheet work down to 8 minutes → campaign creation from scratch through natural language - no Ads Manager → signal diagnostics: pixel health, CAPI status, dataset quality → budget reallocation ran this for a client, saw a 31% revenue increase at the same budget → creative fatigue detection: frequency + CTR trend analysis across all active ads → monthly reporting: 3-4 hours down to 12 minutes → multi-account time math: from 16-24 hours/week to under 3 hours this is the exact infrastructure i wish i had from day one - built after managing +$1M/mo in ad spend across our clients at my meta ads agency and for 24h, EVERYTHING can be yours for free like + comment "MCP" and i'll send it over (must be following + RT for priority access)

zack

54,138 Aufrufe • vor 2 Monaten

I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)

I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)

Mike Futia

38,807 Aufrufe • vor 4 Monaten

NanoBanana 2 just made your static ad agency obsolete. And I just open sourced the entire tool. Drop your product page URL. It pulls your logos, product images, fonts, colors, and brand voice automatically. Builds a full brand guide for you. Then generates ad creatives at scale using nearly 4,000 high-performing ad templates across 8 niches. It dynamically matches the best templates to your brand and brief. Here's what makes it different: → Instant resizing Get any ad in 1x1, 4x5, 9x16 with one click. No regeneration. No broken text. → Highlight-to-edit See an issue? Highlight the area and tell it what to fix. → Multiple brand profiles Run different brands or segments from one tool. → Auto persona building from real customer reviews → Multiple QC loops on briefs and final assets Catches AI-isms before you do. → Upload your own templates or use ours Runs locally. Just needs your Claude and Google API keys. This is the lite version of what we use internally. You get the full finished tool AND the open source code to make it your own. Creatives still design the system, this handles iteration and scale. Want a copy to download? 1. Like this post 2. Comment "AI" Will DM you the tool along with a tutorial shortly after.

Peter Quadrel

291,679 Aufrufe • vor 4 Monaten

Since launching our free advanced desktop platform, Robinhood Legend, we’ve been busy making it even…. Better. We’ve heard you, and you know we love to build. Improvements: 1. Anchored VWAP: Analyze trends with precision by anchoring the Volume Weighted Average Price (VWAP) to key events or timeframes. A must-have for technical traders. 2. Chart comparisons: Compare multiple stocks, ETFs, or crypto assets on a single chart to spot trends and correlations with ease. 3. New columns on the options chain: Get deeper insights into your options trades with new probability metrics available directly on the options chain. See the options disclosure document at 4. New IV data: View implied volatility (IV) across more surfaces, including the options chain, watchlist, and positions table, for better-informed options trading. 5. Options replace: Modify working options orders instantly—no need to cancel and start over. 6. Joint accounts: Available to all customers on Robinhood Legend. Switch between account types and share trades with your partner in real-time. 7. Snapshot widget: Get key data on stocks, ETFs, indexes, and crypto—all in one place: Live quotes and price ranges, Recent headlines, Implied & historical volatility, Fundamentals and more. 8. Much more. Dive in and see for yourself.

Since launching our free advanced desktop platform, Robinhood Legend, we’ve been busy making it even…. Better. We’ve heard you, and you know we love to build. Improvements: 1. Anchored VWAP: Analyze trends with precision by anchoring the Volume Weighted Average Price (VWAP) to key events or timeframes. A must-have for technical traders. 2. Chart comparisons: Compare multiple stocks, ETFs, or crypto assets on a single chart to spot trends and correlations with ease. 3. New columns on the options chain: Get deeper insights into your options trades with new probability metrics available directly on the options chain. See the options disclosure document at 4. New IV data: View implied volatility (IV) across more surfaces, including the options chain, watchlist, and positions table, for better-informed options trading. 5. Options replace: Modify working options orders instantly—no need to cancel and start over. 6. Joint accounts: Available to all customers on Robinhood Legend. Switch between account types and share trades with your partner in real-time. 7. Snapshot widget: Get key data on stocks, ETFs, indexes, and crypto—all in one place: Live quotes and price ranges, Recent headlines, Implied & historical volatility, Fundamentals and more. 8. Much more. Dive in and see for yourself.

Robinhood

24,543 Aufrufe • vor 1 Jahr

I just vibe coded a full DTC advertorial page builder in Claude Code 🤯 One prompt --> complete presell page. Product images + editorial copy + testimonials + pricing —> all generated automatically. Built 100% in Claude Code. Perfect for DTC brands and agencies who need fresh advertorial pages for Meta but can't keep paying $1,500 per page. If you're running advertorials, you need variation & volume. 5-10 different advertorials per month. Different hooks, different audiences, different products. That means briefing a copywriter, waiting days, getting back a draft, giving notes, waiting again. Rinse repeat. This system solves it: → Enter your brand, product, target customer, and unique mechanism → Pick a style preset (clinical editorial, news exposé, lifestyle magazine, warm and trustworthy) → Claude writes the full page — every section from urgency banner to guarantee to final CTA → Nano Banana Pro generates all product images and mechanism diagrams inline No copywriter back-and-forth. No designing from scratch. No starting from a blank page every time. What you get: → A complete HTML advertorial page ready to paste into Shopify → DR copy structure extracted from real pages scaling on Meta → AI-generated product photography and diagrams → 4 style presets that automatically shift tone, colors, and authority framing per niche → Fully customizable system prompt — swap in your own advertorial templates, formulas, or page structures and it follows those instead I built 3 complete advertorial pages for 3 different brands in under 5 minutes. Skincare, supplements, and pet products. All different styles, all production-ready. I put the full Claude Code system prompt into a free Google Doc so you can get this up & running asap. Want access for free? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)

Mike Futia

41,499 Aufrufe • vor 5 Monaten

Higgsfield Shots is absolutely insane 🤯 Upload one product image → get 9 different camera angles instantly. Same scene, same lighting, multiple perspectives. Perfect for e-comm brands & agencies who need creative variety without reshooting. Here's the problem: You've got one winning hero shot. But you need wide angles, close-ups, and alternate perspectives for ads, landing pages, and social. That usually means booking another shoot or awkward Photoshop hacks. Higgsfield Shots fixes that: → Upload a single product image → AI generates 9 variations from different camera angles → Wide shots, close-ups, side angles—all consistent → 4 credits for the full set No reshoots. No Photoshop warping. No losing the lighting you nailed. What you get: - Multiple angles for storytelling and sequencing - Consistent lighting and product placement across all 9 - Ready for ads, PDPs, and social in minutes One image. Nine perspectives. I recorded a quick Loom video showing how this works with a real Vuori product shot. Want access for free? 👉 Like this post 👉 Comment "SHOTS" And I'll send it over. (Must be following so I can DM)

Higgsfield Shots is absolutely insane 🤯 Upload one product image → get 9 different camera angles instantly. Same scene, same lighting, multiple perspectives. Perfect for e-comm brands & agencies who need creative variety without reshooting. Here's the problem: You've got one winning hero shot. But you need wide angles, close-ups, and alternate perspectives for ads, landing pages, and social. That usually means booking another shoot or awkward Photoshop hacks. Higgsfield Shots fixes that: → Upload a single product image → AI generates 9 variations from different camera angles → Wide shots, close-ups, side angles—all consistent → 4 credits for the full set No reshoots. No Photoshop warping. No losing the lighting you nailed. What you get: - Multiple angles for storytelling and sequencing - Consistent lighting and product placement across all 9 - Ready for ads, PDPs, and social in minutes One image. Nine perspectives. I recorded a quick Loom video showing how this works with a real Vuori product shot. Want access for free? 👉 Like this post 👉 Comment "SHOTS" And I'll send it over. (Must be following so I can DM)

Mike Futia

66,676 Aufrufe • vor 6 Monaten

How to build a viral Web3 app in an afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): 🔸Install Claude Code at 🔸Run /plugin install ChainGPT-org/chaingpt-claude-skill 🔸Get an API key at 🔸Type /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!

How to build a viral Web3 app in an afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): 🔸Install Claude Code at 🔸Run /plugin install ChainGPT-org/chaingpt-claude-skill 🔸Get an API key at 🔸Type /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!

ChainGPT

29,296 Aufrufe • vor 2 Monaten

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Varun

308,655 Aufrufe • vor 3 Monaten

🪴 GT Protocol Monthly Recap: May 2026 May focused on launching advanced trading infrastructure, introducing AI risk-management tools, and shipping major platform upgrades. 🚀 Hyperliquid Vaults Live Run multiple algorithmic strategies on a single Hyperliquid Vault inside GT App. Enjoy automated execution, auto-rebalancing, and protocol-level security. You can find Vault trading on the Hyperliquid exchange account connection page in the Trade on Vault section. Try it in GT App 👉 🤖 AI Hedge Fund Experiment Live An experimental AI Hedge Fund powered by 5 independent LLM models is live on Hyperliquid. Each model manages $10,000 to test different AI trading personalities and allocation strategies. Discover it now here 👉 📈 Isolated Margin & AI Risk Tools Isolated Margin is live across GT App for precise risk management. Enhanced with AI-powered logic, it assists with dynamic asset monitoring and smarter strategy deployment. Try it in GT App 👉 🔥 Top Strategy Performance Top trader strategies like "lebakien" achieved over +141% profit this month. Users can explore metrics and follow the strategies of top traders directly in the marketplace. Explore Marketplace 👉 🛠 Key Product Updates ⚙️ Strategy Discovery: enhanced demo trading flows and top trader strategy integration. ⚙️ AI Strategy Chat: demoed a flow to create, launch, and test strategies via natural language chat. ⚙️ Advanced Execution: added manual safety orders for granular control over active positions. ⚙️ Testing & Validation: optimized historical data validation for more accurate strategy testing. ⚙️ Knowledge Hub: launched GT Protocol Learn and a new Knowledge Base for streamlined support. ⚙️ Performance: upgraded website structure and improved overall page responsiveness. Find all the latest GT App updates Here 👉 Discover guides, insights, and resources in Learn 👉 and Knowledge Base 👉 📰 GT Protocol AI Digests 4 new AI Digest issues (No.89–92) are live on Medium, covering AI-native hardware, data privacy, and the evolution of AI agents. Read More 👉 May brought institutional-grade AI strategy management closer to every user.

🪴 GT Protocol Monthly Recap: May 2026 May focused on launching advanced trading infrastructure, introducing AI risk-management tools, and shipping major platform upgrades. 🚀 Hyperliquid Vaults Live Run multiple algorithmic strategies on a single Hyperliquid Vault inside GT App. Enjoy automated execution, auto-rebalancing, and protocol-level security. You can find Vault trading on the Hyperliquid exchange account connection page in the Trade on Vault section. Try it in GT App 👉 🤖 AI Hedge Fund Experiment Live An experimental AI Hedge Fund powered by 5 independent LLM models is live on Hyperliquid. Each model manages $10,000 to test different AI trading personalities and allocation strategies. Discover it now here 👉 📈 Isolated Margin & AI Risk Tools Isolated Margin is live across GT App for precise risk management. Enhanced with AI-powered logic, it assists with dynamic asset monitoring and smarter strategy deployment. Try it in GT App 👉 🔥 Top Strategy Performance Top trader strategies like "lebakien" achieved over +141% profit this month. Users can explore metrics and follow the strategies of top traders directly in the marketplace. Explore Marketplace 👉 🛠 Key Product Updates ⚙️ Strategy Discovery: enhanced demo trading flows and top trader strategy integration. ⚙️ AI Strategy Chat: demoed a flow to create, launch, and test strategies via natural language chat. ⚙️ Advanced Execution: added manual safety orders for granular control over active positions. ⚙️ Testing & Validation: optimized historical data validation for more accurate strategy testing. ⚙️ Knowledge Hub: launched GT Protocol Learn and a new Knowledge Base for streamlined support. ⚙️ Performance: upgraded website structure and improved overall page responsiveness. Find all the latest GT App updates Here 👉 Discover guides, insights, and resources in Learn 👉 and Knowledge Base 👉 📰 GT Protocol AI Digests 4 new AI Digest issues (No.89–92) are live on Medium, covering AI-native hardware, data privacy, and the evolution of AI agents. Read More 👉 May brought institutional-grade AI strategy management closer to every user.

GT Protocol

32,774 Aufrufe • vor 1 Monat

🚨 $EVIO RESURRECTED: FROM DARK DEFUNCT TO PINK LIMITED POWERHOUSE – 2026’S NEXT OTC BREAKOUT? 🚀💥 Listen up, OTC hunters – after nearly 2 years in the shadows as Dark/Defunct, EVIO Inc. ($EVIO) has clawed its way back to life! As of January 6, 2026, they’ve officially gone Pink Limited on OTC Markets, backed by fresh filings including a Management Certification dated December 31, 2025. Key highlights straight from the docs: NO shell status, ZERO bankruptcy or reorganization issues, full compliance with Exchange Act Rule 10b-17 and FINRA Rule 6490. Verified profile active, legal counsel on board, and a detailed rundown of leadership – including past execs and major shareholders for total transparency. But that’s not all – whispers in the trader chats point to new management steering the ship, a scrubbed balance sheet with old assets cleared out, and potential merger vibes brewing. We’ve seen this playbook before: Low-float revivals like $RITE exploding out of Expert Market purgatory into massive runs. If you’re chasing those early-stage, high-reward plays in cannabis testing, pharma, or environmental sectors (EVIO’s core biz in analytical services), this could be your 10x-20x sleeper. Low OS/AS floats historically fuel these rockets – load the boat before the merger news drops and the crowd piles in? Volume’s exploding from the boneyard, bids stacking… don’t sleep on this revival story! 🔥📈 DYOR always – this is NOT financial advice, just highlighting the facts and momentum. Consult pros, trade smart! What’s your take? Drop below. 👇 #EVIO #OTCStocks #PennyStocks #StockMarket #BullRun2026 #OTCBreakouts #MergerWatch #CannabisStocks #PharmaPlays #LowFloatGems

Data GPS

11,186 Aufrufe • vor 6 Monaten