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@danny_builder @nansen_ai @DefiLlama @MessariCrypto @tokenterminal this makes a lot of sense. the problem was never lack of data, it’s lack of prioritization. everyone sees everything, very few know what matters. i’d probably start by tracking early liquidity shifts + wallet clusters. that’s usually where signal shows up before narrative.

I recently built a crypto research system that runs 24/7. here's what it replaces: → 10+ tabs open → scanning CT all day → checking @nansen_ai / @DefiLlama / @MessariCrypto / @tokenterminal → still late to everything the issue isn't effort. it's structure. so I built a pipeline in n8n. here's how it works: 1. Data layer: Arkham / Nansen / Messari etc all feeding into one system automatically 2. Content layer: Whitepapers, governance proposals, long form research all pulled and parsed without me touching anything 3. Analysis layer: Claude handles reasoning + summaries. ChatGPT handles tokenomics, SWOT, comparisons. two models. different strengths but one pipeline. 4. Multi layer scoring: - macro - on-chain - fundamentals - community - narrative every signal scored. i mean only what matters gets through 5. Alert layer: telegram alerts only when something crosses a threshold worth your attention. what changed: → no dashboard hopping → no random research → no missing early signals most people try to read faster. the edge is building systems that think before you do. if you had this running, what would you track first?

@danny_builder i don't need an SEO machine but i definitely need a trading machine. can you make one?

n8n + Claude = A Killer SEO machine that validates search intent, builds keyword strategy, and prevents cannibalization before content is written. I got tired of AI writing content that ranked for the wrong keywords. I built an n8n workflow that forces AI to stop and think before it writes a single word. Here's the teardown of every node in the pipeline: 1. Node 1: Review Past Lessons → Reads a lessons sheet before touching anything. Every past mistake becomes a rule. The system literally studies its own failures. 2. Node 2: Identify Search Intent → Classifies the target query as informational, commercial, or transactional. If you skip this, nothing downstream matters. 3. Node 3: Generate Keyword Plan → One primary keyword. 2–5 secondary. Plus semantic vocabulary. Structured with an H2 outline before any draft begins. 4. Node 4: Check Keyword Cannibalization → Cross-references existing content. Flags overlaps before you accidentally compete with yourself. Most teams skip this entirely. 5. Node 5: Verify Content Quality → Runs the draft against the top 3 ranking pages. Asks: "Does this satisfy intent better?" If not, it rewrites. 6. Node 6: Calculate SEO Metrics + Write Lessons → Title tag 50–60 chars. Meta description 140–160 chars with CTA. Keyword density 1–2%. Then logs everything learned for next time. If the content misses intent at any stage, the workflow stops. It doesn't keep writing. It re-plans. The workflow also writes its own rules. After every correction I give it, it updates a lessons file and reviews that file at the start of every new project. The result: an AI SEO system that actually gets better over time instead of repeating the same mistakes. Here's what changed after implementing this: → Zero keyword cannibalization across 40+ pages → Meta descriptions that actually hit 140–160 chars with a CTA (every time) → Content that matches intent on the first draft Most people use AI to write faster. I use it to think first and write once. The full workflow runs in n8n with Claude as the model layer. Open source. No black box. Full n8n workflow is open. If you want access: 👉 Comment “SEO” and I'll send you the template.

@thetraderoom_ @danny_builder @thefundedroom first, there are many cases I saw on Instagram that a lot of users haven't received any warnings and I doubt everyone will tell lie because of the multiple tech issues with your terminal second, read the post again

The rules are clearly mentioned on the website from the very beginning, including the HFT rules. While many prop firms look for excuses to breach accounts, we have instead issued warnings to users who are not following the rules. This is not a charity. We must ensure that traders who follow the rules and trade properly receive their payouts. Therefore, please trade according to the rules. If you follow them, your payout will never be stopped. However, if even a single rule is violated, the system is fully automated and the account will be failed. So before blaming others, make sure you are following the rules correctly yourself.

I never expected this from you @thetraderoom_ bhai. It's completely unacceptable. I bought a $5,000 account from @thefundedroom on March 10 to test the platform because there were already rumors in the market that payouts were being denied. Instead of trusting rumors, I decided to verify it myself. For the next 4 trading days (Mar 10–13) I traded normally. Results: - Account grew from $5,000 → $8,349 - Profit: $3,349 (+66%) Everything was going smoothly. You can see the equity curve below. Then suddenly something strange happened. Right before my final trading day (when I was planning to request withdrawal), I received this email: HFT Rule Violation — Account not eligible for withdrawal. Their claim - More than 3 trades in the same direction within 3 minutes. But here's the problem. I checked the CSV file they sent. They claim that on March 10 multiple orders were executed within 3 minutes. But I have screen recording of my trades, and there is no such back-to-back order execution pattern. Even if we assume (just for argument) that there was a violation, their own rules clearly say: 1. First offense → Warning 2. Second offense → Account failure But I never received any warning. No warning email. No notification. Nothing. Instead they waited 3 more days while I continued trading profitably and then suddenly blocked the account right before payout. So the question is simple: 1. If there was an HFT violation on March 10, why was I allowed to trade on March 11, 12, and 13? 2. Why no warning? 3. Why no restriction? 4. Why haven't you fixed your terminal first before going to public? 5. Why is the chart showing completely different than trading view or exness chart even after every users raised back to back multiple issues? 6. Why is your support team not answering? 7. The telegram support guy account got deleted so why no update on that? 8. Why did you go complete silent? Why wait until the account becomes profitable? This is exactly what many traders in the community were warning about. I personally respect and follow only 2 traders Mayank bhai and Subasish (Power of Stocks) from last 4 years and I beleived that they will never ever scam people whatever other users say. Their way of explaining trading concept is literally amazing and easy to grab but then you suddenly see this happening to you..... But if platforms behave like this, it destroys trust in the entire prop firm industry. If a rule is broken - fine. But apply the rule transparently. Send the warning. Stop the account immediately. Follow your own terms. Don't wait until traders become profitable and then suddenly block withdrawals. That's not risk management. That's payout avoidance Mayanak bhai. 👉 Screen recording - loom.com/share/ec6734c0… 👉 CSV file sent by your team - drive.google.com/file/d/13r81_H… 👉 I've attached all screenshots and proof below👇

@danny_builder @thetraderoom_ @thefundedroom I’ve heard similar complaints before. I was about to buy $100k account. thank god I didn't. Scammers every where

@thetraderoom_ built this for traders, not for accountants. I started with a $5,000 account. 3 days later I'm sitting at $5,419. 👉 start your own evaluation - thefundedroom.com/?ref=1RXK3WXF What's stopping you?

→ They bury drawdown rules in page 12 of their T&C → They change rules AFTER you've paid → They make the dashboard so confusing you don't know where you stand Now look at The Funded Room dashboard. Everything. On. One. Screen. No hidden metrics.

Day 3 on @thefundedroom. +$419 profit. 8.38% up. I'm 2 trading days away from passing this evaluation. Here's what nobody tells you about most prop firms👇

Sold $BTC near the top and still holding my short. Expecting a deeper pullback toward 86,000. Let’s see how price reacts from here. 📉

AI auditing makes sense if we frame it correctly. The win here isn’t “replacing auditors,” it’s collapsing the feedback loop. Most teams today write code → wait weeks → discover basic issues → repeat. If AI can surface those risks early, devs iterate better before a formal audit ever starts. Used right, this raises the security floor across the ecosystem. Used wrong, it creates false confidence. Curious how teams will balance that line.

@CEOGuy If it becomes a pre audit sanity layer that raises baseline security, that’s huge. If people start treating it as a final stamp, that’s where things can get dangerous. Used correctly, this could save months of back and forth and a lot of wasted capital.

Today we’re releasing an AI auditing tool that will change how developers audit their smart contracts forever. With our latest AI, developers can generate a tier-1 security grade audit report in less than 2 hours and at a fraction of the cost. Up to 100x cheaper and faster.

@coinbase v2 is coming x.com/Chain_GPT/stat…

It's going to be a big week.

@danny_builder Blind creator onboarding isn’t it

base is clearly serious about onboarding creators fast. but speed without filters is risky. when someone with a long, documented history of rugs and paid promos becomes the first earn example, it sends the wrong signal to new users. creator rails need trust primitives, not just virality. if a system can’t tell the difference between a builder and a repeat rug promoter, the outcome is predictable and retail learns the hard way.

V2 goes live next week.

@Chain_GPT V2

V2 goes live next week. We’ve rebuilt a lot of things that people kept asking us for and a few things that nobody's expected. If you want early access or want to test the new flow, drop a ‘V2’ below.

next week: the biggest product launch in ChainGPT's history

@danny_builder The more I look at this map, the more it’s clear how easily InfoFi played into the global traction illusion. Mindshare isn’t distribution. Hyped tokens are down across the board even the giants like Monad yet people still believed InfoFi was pulling massive worldwide momentum.

it’s wild how different the story looks once you map it properly. everyone keeps guessing where InfoFi’s real traction is coming from but the data makes it clear. if you understand why these markets matter, you already see where this thing is heading.

This is how @KaitoAI and other InfoFi works

I’ve seen so many teams get caught in this trap. They spend months building, then treat the launch like a finish line instead of the first checkpoint. And once the noise fades, they realise they never designed a distribution engine, never built real community loops, never thought about liquidity behaviours beyond day one.

if I could give one piece of advice to any founder preparing for an IDO then listen it very carefully. don’t treat your launch as a one time event. treat it as the start of your long term distribution engine. - your users today can be your strongest narrative tomorrow. - your launch structure informs your future liquidity. - your community activity guides your early market sentiment. a good launchpad, advisory team, or distribution partner should help you think beyond the first pump. this mindset alone separates smooth launches from chaotic ones.

@Chain_GPT As someone who’s had contracts rejected by auditors for the smallest oversights, this would’ve saved me so much pain.

Create a smart contract, review the code, and run an instant audit in one streamlined workflow. ☺️ ➝ Write your contract idea ➝ Generate clean code in seconds ➝ Audit instantly for risks and fixes ^thats our Smart Contract Generator! 🤖 Start here: app.chaingpt.org