HUD in Action - ft $HYPE - Analyze any... listed token in seconds. - Precise and data backed levels outlined. - Full suite chart analysis/entries/exits. hyperliquid.show more

You can decide to combine 5 applications to analyze... one token Or Just toggle the KID chart and the Interactive Insights Panel in 10 seconds, and complete your analysis in 5 minutes. Your call…show more

HUD in Action - ft Crude Oil - the... HUD supports TradingView advanced charts. - although optimized for Web3, it can analyze tradfi. - clean and simple trading plans, engineered for you. Crude oil is one to watch in the days and weeks ahead.show more

🔹(ETH) Cryptosis | $CRY Fair Launched Yesterday, CMC listed... within 12 hours, Alpha Scout Bot is live, marketing is underway with with trending and ads on many sites. 3 Month lp lock, with second utility on its way ✔️ Cryptosis, derived from "crypto" and "analysis," is a powerful token that unlocks the hidden potential of wallet tracking and in-depth analysis. Their name embodies our mission - to provide insightful utilities that reveal the secrets of profitable wallets in the crypto world. Aped the dip around 60k mcap, more marketing coming so seems to be a good entry. Chart: Telegram: Twitter: Website:show more

$HYPE will fall below $40. I like the HyperLiquid... ecosystem a lot, but the chart is starting to look heavy in the short term We printed two equal highs, which usually isn’t a great sign for continuation right away Could be a period of consolidation or a deeper retrace before any trend continuation Levels lower like the mid-30s are where things start to get interesting again for me Corrections are part of the cycle if we want higher highs later on Not really rushing anything hereshow more

Turn complex docs into clean, LLM-ready data! Every AI... company I've talked to is solving the same problem: how do you build systems that don't hallucinate and back up every answer with proper citations? Tensorlake is a tool that extracts custom-defined structured data from any unstructured document in 3 steps: ↳ Define your schema ↳ Enable citations ↳ Extract You get RAG-ready data with precise citations and bounding boxes. Feed this to your LLM, and you'll generate responses that are citation-backed and fully auditable. This is the difference between a demo and a production system. When your AI can show exactly where it got its information, you move from proof-of-concept to something people can actually trust and deploy. I've shared the Tensorlake GitHub repo in the replies!show more

What if crypto research was as easy as chatting... with ChatGPT, but powered by real market data👑 Introducing CMC AI, a powerful new tool from CoinMarketCap that combines the speed of AI with the depth of live crypto data. It delivers fast, data-backed answers to your questions: ✅ Want to know why Bitcoin's price is rising? ✅ Curious about the latest news on your favorite cryptocurrency? ✅ Need sentiment analysis? It pulls real-time data and explains it in seconds. But it goes far beyond basic Q&A. In the future, you’ll be able to ask anything! For example, you could ask it to: – Discover undervalued tokens based on volume, MC, and sentiment. – Compare Layer 1s or L2s by adoption, speed, and dev activity. – Detect rug-pull risk via wallet distribution and tokenomics red flags. – Break down your portfolio by risk, correlation, and potential return. – Explore new use cases in DeFi, AI, RWA and DePIN And much more! 🔗Try it here: CMC AI changes how you learn, think, and act in Web3🧠show more

Consulting-level slides, mimicking the McKinsey-style layout. I used kimi... slide's adaptive mode to create them (coding version, not image gen version) .All the content was powered by K2's coding capabilities, fully editable. My prompt: Analyze Global EV market opportunities. Requirement: A professional, high-density consulting presentation slide, designed in the style of a top-tier strategy firm (McKinsey/BCG) blended with high-end editorial aesthetics. Core Content & Layout: 1. Rich Data Visualization: The slide is populated with complex, precise charts (stacked bar charts, waterfall charts, or line graphs) and detailed data tables with rows and columns. 2. Structured Frameworks: Includes strategic diagrams or 2x2 matrices constructed with thin, clean lines. 3. High Information Density: The layout is sophisticated and multi-column, mimicking an actual business analysis deck, not just an empty cover page. Visual Style: 1. Aesthetic: Tech-minimalist but information-heavy. Clean, sharp, and authoritative. 2. Typography: Serif fonts (like Times New Roman) for the main headlines to give a premium financial report feel; clean Sans-serif for chart labels and data numbers. 3. Color Palette: Clean white background. Text is sharp black. Charts and graphical accents use Deep Royal Blue and distinct shades of grey for data hierarchy. 4. Graphics: Use fine hairline borders for tables and precise vector lines for graphs.show more

PARTNERSHIP: It feels like a century since we last... saw fresh projects on TON 💎. XP LABS, the team behind AVACOIN, just broke the silence! XP Labs has launched another hit, AVARUSH, a casual Web3 match-3 strategy game with engaging levels, Play2Earn mechanics, powerful boosters, and full XP Token integration. The token listing is tomorrow, November 5. Plus, 7 more in-house games and over 200 partner titles are coming to Telegram, App Store, and Google Play in 2026, all united under one token, XP. A launch you don’t want to miss. Disclaimer: This content was produced in collaboration with the client and is intended for informational purposes only. It does not constitute financial or investment advice. Always conduct your own research before making any financial decisions, especially in highly volatile markets like crypto.show more

🚨BREAKING: flyingtulip.com is preparing a public token sale with... a built-in refund mechanism. One of the most prolific defi builders, Andre Cronje, famous for his work with yearn and Fantom/Sonic, has returned with the launch of Flying Tulip. The innovative part of Flying Tulip? The deposit and refund mechanism from the token sale: All deposits are deployed into Aave yield, with the team taking only the generated returns. Depositors receive FT tokens and can claim a full refund at 10c at any time via on-chain contracts. A programmatic price floor auto-buys if the token dips below 10c. Will this new model be the future of token raises? Read more below 👇show more

GROK GOT A FILING BRAIN – AND IT NEVER... FORGETS xAI update gives Grok something wild – the ability to actually read your files and think through them! File Mode: • Upload PDFs, code, CSVs, or full docs for instant analysis • Handles multiple files at once – blends info into one smart answer • Searches, summarizes, and explains in seconds • Basically a research assistant with zero burnout You bring the data – Grok brings the file brain! Source: Tech Dev Notesshow more

If you need McKinsey-style slides, try this prompt: I... asked Kimi to conduct a comprehensive analysis of the GenAI video model market, focusing on leading players (e.g., Seedance 2.0, Sora, Kling, Veo, Luma). My prompt: Conduct a comprehensive analysis of the GenAI video model market, focusing on leading players (e.g., Seedance 2.0, Kling, Veo, Luma). Compare their core architectures, temporal consistency, and prompt adherence to identify current industry benchmarks. Use the latest information Requirement: A professional, high-density consulting presentation slide, designed in the style of a top-tier strategy firm (McKinsey/BCG) blended with high-end editorial aesthetics. Core Content & Layout: 1. Rich Data Visualization: The slide is populated with complex, precise charts (stacked bar charts, waterfall charts, or line graphs) and detailed data tables with rows and columns. 2. Structured Frameworks: Includes strategic diagrams or 2x2 matrices constructed with thin, clean lines. 3. High Information Density: The layout is sophisticated and multi-column, mimicking an actual business analysis deck, not just an empty cover page. Visual Style: 1. Aesthetic: Tech-minimalist but information-heavy. Clean, sharp, and authoritative. 2. Typography: Serif fonts (like Times New Roman) for the main headlines to give a premium financial report feel; clean Sans-serif for chart labels and data numbers. 3. Color Palette: Clean white background. Text is sharp black. Charts and graphical accents use Deep Royal Blue and distinct shades of grey for data hierarchy. 4. Graphics: Use fine hairline borders for tables and precise vector lines for graphs.show more

The ChainGPT AI skill for Claude Code is one... of the most complete Web3-AI dev environment on the market. Let me prove it. Open Claude Code with the installed skill, and you have direct access to: • Built-in wallets across 33+ chains • DEX trading, perps, and Hyperliquid execution • Smart contract generation and auditing • NFT generation across 22 chains • Real-time crypto news API • Fine-tuned crypto LLM with live on-chain data Every part of the Web3 stack, one prompt away. Here's what that looks like in practice. I built a real-time on-chain whale tracker in a single afternoon. It's called Whale Watch. → Pulls live swap data from Ethereum DEX pools → Filters every trade over $100K → Runs each whale through the ChainGPT LLM for a trader-grade live analysis → Routes the user into 1inch with the token pair pre-loaded if they want to follow the trade Real data. Real AI. Real action layer. The skill wrote the server. It hit the right APIs. It generated the UI. It debugged itself when something broke. The only thing I supplied was the idea and the polish. Open Claude Code. Ship something with ChainGPT AI this weekend! /plugin install ChainGPT-org/chaingpt-claude-skillshow more

Today we took a major step forward in executing... the strategy outlined. 20.23% of the $PEPEWH supply has now been moved into the multisig. This capital is dedicated to growth initiatives including exchange listings, market making, artist collaborations, and other key drivers needed to scale the project properly. This is a direct reflection of the lessons learned. Supply is being managed with intention, and resources are being deployed where they create real impact. The dev wallets will continue to buy dips, and as always, any rewards generated will be reinvested back into the chart. Alignment remains the priority. The goal is to build more than just another token. We are building a coordinated effort between communities that share a common vision and are committed to executing together. The targets remain unchanged. 10 million is the first milestone. 100 million is the next. There is a clear path for a project built on two globally recognized meme archetypes to reach those levels when backed by discipline, transparency, and consistent execution. This is how we move forward. Together. Official links below...👇 Dexscreener: Dextools: Telegram: Contract: H21gP58wVqK4cFJTNcWdcwDxT8A2y7Lek1mYRxQGpumpshow more

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)show more

Hub AI Agent V1.3 is live! 🔵 This new... version of Hub AI Agent is more efficient, taking less time to analyze, score, and learn from each response 🧠 What’s been refined in this new version: 🔷 Deeper Analysis: Every reply is meticulously studied, gathering deeper insights and nuances to enrich Hub AI’s neural network, ensuring clearer and more accurate interpretations. 🔷 Smoother Experience: We're committed to refining your training experience, and with countless bugs squashed on the platform, the path ahead has been streamlined. 🔷 Targeted Learning: Expect more precise, insightful questions designed to feed Hub's data layer with key insights into market dynamics and Web3 user behaviors, powering Hub's upcoming Matching Protocol (launching Q2). Each smart answer lays the foundation for a new creator economy. Your voice, your narrative. Join the movement: 🎭show more

MemeRadar is HERE to Dominate Your Memecoin Research in... Just 10 Seconds! 💡Why MemeRadar? MemeRadar is built to democratize memecoin research—slashing info gaps and boosting your wins. 🎁 LIMITED OFFER: We’re now in English‑version Beta! The first 1,000 users get free access. 🪂 Like, repost, comment, and join our Telegram chat to claim your exclusive beta invite code: 🎯KEY FEATURES 1️⃣Yelp for Trencher Wallets：Hover over any address on the Dexs, you can see what 200,000+ trenchers and 30+ pro KOLs are saying about those top holders wallets (Think of it as “Yelp for wallets”: real user comments + AI analysis reveal a wallet’s true nature.) 2️⃣Cross-Platform Coverage: Get instant Memecoin insights on AXIOM, GMGN, OKX, AVE, Debot, and more—directly within your favorite DEX. 3️⃣Suspicious Dev Detection: Spot rug‑pull risks via dev launch history and Twitter smart followers monitoring. 4️⃣Community Hype Tracking: Effortlessly track the industry’s widest coverage of KOL calls across Telegram and Twitter, combined with unmatched monitoring of top KOL wallets—giving you a full-spectrum view of how memecoins are trending across communities and trenchers. 5️⃣AI Narrative Summaries: Let AI tell you the memecoin’s story in seconds, so you don’t waste time. 6️⃣Spot High-Potential Memecoins：Combines on-chain and off-chain data, help you to discover high-potential Memecoins faster. Add Memeradar to your chrome to upgrade trading experience Now!show more

FACT CHECK: Here at the first trial, the Commonwealth’s... own expert witness, Ian Whiffin, confirms the necessity & importance of hash values for the sake of “hash verification”, a necessary step in authenticating the data & being able to verify that it hasn’t been altered or manipulated. In fact, Whiffin actually gives this testimony in response to a question about when the data have been altered or tampered with, if there’s a way for the forensic examiner (him) to detect it, and/or verify its authenticity and integrity. Remarkably, despite the DFIR industry standard methodology of hash verifying a digital forensic extraction, like that of Jen McCabe’s iPhone, prior to conducting any analysis on it with any forensic tools, Ian Whiffin testified that notably, for his work on this case, not only did he abandon this standard methodology, but he also admitted that the forensic extraction of Jen McCabe’s iPhone, which he received from the Commonwealth, was stripped of its hash value. Perhaps more remarkably, this stunning fact apparently didn’t raise any red flags for Ian Whiffin when conducting his analysis in this case, where he’s providing testimony in a murder trial. One must ask themselves why that is? However, defense expert Richard Green, in his affidavit, states that: “Typically, forensic examiners are provided with the raw image file and the associated: hash value documentation together. After validating the hash value, I would then accept that the data has not been manipulated. Here, however, the hash documentation was not provided with the raw image of the cell phone. Instead, it was withheld from the defense. As a forensic examiner having received hundreds of imaged phones over the course of my decades-long career, this was unprecedented.” Contrary to Mr. Whiffin’s approach, upon initially receiving a purported extraction of Jen McCabe’s iPhone without a hash value to authenticate and verify the integrity of the data, Mr. Green promptly requested the hash value and corresponding GrayKey supplemental files from the Commonwealth in order to conduct his analysis. After making this demand, and when the Commonwealth had to produce the hash verification data for Jen McCabe’s iPhone, remarkably, the Commonwealth also produced—for the first time, and over a year later on February 8, 2023—the Full File System Extraction of Jen McCabe’s iPhone (see “Notice of Discovery VIII,” attached). Unlike the initial purported “extraction” produced by Trooper Nicholas Guarino, this one contained Jen McCabe’s incriminating 2:27am Google search and all of the manual deletions of her communications, among other incriminating evidence, surrounding the murder of Officer John O’Keefe (see defense’s Rule 17 motion from April 12, 2023, attached). So, this begs the question: If Ian Whiffin knows the importance of hash verification in validating the authenticity of the data he’s working with in the first place, then why didn’t he take the same actions as defense expert Richard Green did to responsibly and reliably provide analysis in this case? If Whiffin ought to be deemed an expert, qualified to provide analysis and testimony at trial, then why did he abandon his industry’s standard methodology of hash verification in this case? Even Cellebrite knows this is a no-no! What say you? #KarenReadTrial #Cellebrite #DFIRshow more

1/7 Built a Polymarket trading bot over 3 months.... Here are the biggest mistakes that cost me real money > Went from v1 to v61. Every version fixed something painful. --- 2/7 Stop Loss killed more money than it saved. > Binary markets need room to breathe - fluctuations are normal. > Stop Loss was cutting positions on random noise and locking in losses right before the market flipped. > Removed it in v61. Immediately better. --- 3/7 Martingale + Stop Loss = a loss cascade. > Seemed logical: lost $5 -> bet $8, lost again -> bet $10. > In practice: a losing streak plus early exits = a hole in your balance in a single day. > Killed it. For good. --- 4/7 Smart Exit without Force Exit is a trap. > Token hits 90c (+75% profit), but the bot was waiting for a "BTC reversal" signal. > Market closes, token drops, profit gone. > Fix: hard Force Exit at 85c. No conditions, no waiting. --- 5/7 Blocking the 5:30-10:30 PM ET window felt safe. It wasn't. > NYSE open = sharp spikes = bad signals. Made sense to block it. > But the full block was also killing clean entries at 8-10:30 PM. > Had to split the zone into segments with different edge/move thresholds. --- 6/7 The Gamma API lies about market start time. > Start price ("price to beat") is the core input for every signal. > Gamma was returning stale data. Had to pull prices directly from Chainlink on-chain on Polygon. > That's its own adventure - polling a smart contract every 2 seconds at 2 AM. --- 7/7 The real lesson: don't overcomplicate what works. > v1: complex system, 10 indicators -> -$200/day > v61: "buy the expensive token for $5, exit at +30%" -> consistently green > Simpler logic = fewer failure points. > The bot runs 96 intervals a day. Every mistake shows up fast.show more