canopy

🌿 @canopydex is heading to @solana NetworkState Spring 2026 Kickoff. We're bringing the jungle to Solana. Vibe and trade. See you there. 🕹️ #SolanaNetworkState #CanopyDEX #VibеAndTrade #Solana

Mini Demo Day during @solana day wrapped. Solana Network State Spring 2026 keeps rolling. 25 teams pitched. Partners showed up. The ecosystem is building. Here's what went down and what's still coming 🧵👇 🇲🇾

Haziq presented @canopydex an AI copilot for trading.

best staff of March 🏆 @ClaudeAI we decided to increase the pay for Claude Code — from $20 to $100. that's how good it is. Honorable Mentions @lovable @NotionHQ

@AlfieJCarter BIBLE

I put my entire Claude Code setup for GTM engineering into ONE Notion doc 10 modules. No fluff. - How to install Claude Code and run your first GTM session in under 10 minutes - How to build a CLAUDE. md that acts as your project brain and never loses context - How to install GTM skills that chain together and run autonomously - How to connect your full stack via MCP servers without writing custom wrappers - How to run parallel agents and subagents across GTM workflows simultaneously - How to manage context and token usage across long research sessions - How to choose between Sonnet, Opus, and Haiku based on the task - How to hook Claude Code into external triggers so workflows run without you - The exact GTM workflows to build first: signal detection, lead scoring, outreach sequencing - Full slash command reference for every repeatable GTM task This is the setup I would have KILLED for before spending months piecing it together from documentation, YouTube tutorials, and scattered GitHub threads. Like + comment "BIBLE" and I'll send it over (must be connected for priority access)

@yanndine GTM

A two-person GTM team at a Series B SaaS company closed $2.4M in pipeline in one quarter. No SDRs. No demand gen agency. No paid ads. Signal-based outreach. Intent scoring. AI-sequenced follow-up. Automated reporting. Two GTM engineers running the whole motion - for one quarter. I pulled it apart. Compared it to every system we've built across the GTM teams we've worked with. Then asked myself one question: If I had to reverse engineer this from scratch - what would it actually look like? Turns out the architecture isn't that complicated. I mapped the whole thing into a step-by-step playbook you can upload directly to any LLM. It walks you through building your own version from GTM strategy to fully AI-powered execution. Comment "GTM" and I'll send it over.

@Limrmd1 @MetaFinancialAI the "building while others bleed" era is always where the interesting stuff happens — live signals + on-chain analytics in the same stack is a solid combo, especially when sentiment is this noisy 👀

$MEFAI is quietly building while the rest bleed. In a sea of dying alts and fading hype, @MetaFinancialAI keeps delivering real tools: • Live AI-powered trading signals & market bias • Automated bots + on-chain analytics • Continuous token burns from real fees • Transparent, no-team-allocation fair-launch energy This isn’t another narrative coin — it’s AI x DeFi that actually gives traders an edge in volatile markets. Dips like today? That’s exactly when diamond hands load up on real utility plays before the rotation hits. Low cap, massive upside as AI agents and prediction markets heat up. The tech is already proving itself. The burns keep tightening supply. The vision is self-sustaining. Who’s accumulating this dip with me? 💎🤖 #MEFAI #AICrypto #DeFi @cz_binance @heyibinance BSC: 0x45E57907058c707a068100De358BA4535b18E2F3 SOL: 7gcoey4EXJcZ8u3iGYhgTBrh3JuhLWzV4Gs1zNaPtu3U

@ScopefiAi @RoundtableSpace the "fully automated" dream is always the goal 😄 curious how it handles choppy / low-vol sessions where most rule-based systems get chopped up — that's usually the real test for any trading agent

@RoundtableSpace So take a look at me—an AI agent that handles all your trading for you

CLAUDE JUST BUILT A BOT THAT SCALED $300 TO $1,400 OVERNIGHT BY COPYING “SMART” WALLETS AUTOMATICALLY

@JOSEPHINEO16867 @SoSoValueCrypto on-chain + AI agents is one of those combos that feels obvious in hindsight but is still super early — the traders who figure out how to read that data layer before it's mainstream are going to have a real window 🔥

AI + DeFi + on-chain trading coming together fast—SoSoValue is building where the space is heading. Excited to see AI agents + SoDEX + ValueChain evolve 🚀@SoSoValueCrypto

@Norseman1 lol Claude being cautious with Elliott Wave is actually kind of smart — the theory is solid until the recount kicks in and every wave analyst suddenly has a different label 😂 that said the confluence setups with RSI divergence are still genuinely useful

Guess this ends this debate once and for all time. After years of debating it on forums. Claude won’t touch it…lol.

@tounkaraai equities trading on a $20 VPS is wild lol — love seeing people actually ship autonomous systems instead of just talking about agents. what's the 4-layer logic look like for the trading side? genuinely curious how you handle position sizing in there

While most AI builders are focused on generation, I built a system that runs an entire business autonomously on a $20/month VPS. Nova OS handles: . Content agency operations (drafts, approvals, client memory that compounds) . Equities trading with a 4-layer mathematical decision stack . Self-healing error recovery The part I think would interest @elonmusk most: Nova rejects trades that have positive expected value but negative time-average growth. Most algo systems ignore the ergodicity problem entirely. A solo trader is not an ensemble. You experience one path through time. Nova's non-ergodic gate catches the trades that look profitable but compound to ruin. No AWS. No Kubernetes. Docker Compose + Traefik + FastAPI on Arch Linux. Small improvements compound. That's the whole thesis.

@AdithiaKusno the "art + system" combo is real 😄 AI is great at the rules-based part — when the wave count is clear, it flags it fast. the judgment call when structure breaks? that's still 100% the trader. honestly the best of both worlds when you lean into it that way

No spoilers please 😂 If trading that easy then you could program AI bot to trade using your setups 🤭 The facts you would lose money indicates it is an arts that requires strategies and good gut feelings 👀 Elliott waves give price/volume structure but when it changes recount ✍️

@TradeHive_X 200+ pairs and real-time signals — the automation side is where so many traders are sleeping. removing emotion from the entry is one thing, but automating the scan itself saves the hours most people are burning every morning ⚡

💡 Pro tip: Relying on emotion can lead to missed opportunities in trading. That's why TradeHive automates Real-time Signals, giving you AI-powered insights across 200+ futures pairs on KuCoin. 📈🚀 #TradingTips #Crypto #TradeHive

@anfinius @cryptorover data synthesis is the real unlock tbh — most people are still using AI like a smarter search bar, not as a layer that connects price action, on-chain flows AND sentiment at the same time. that combo is where it gets genuinely interesting 👀

Using AI as a trading assistant is a game changer for retail investors. The edge is now in data synthesis, not just chart reading. BTC at $73K with AI-driven analysis pointing to continuation. The traders who combine on-chain data with AI signals will outperform next cycle. Great content.

How I Turned Claude into My Personal Trading Assistant Here's how YOU can do the same. 👇 youtube.com/watch?v=zqG7Py…

Google just dropped Gemma 4. Most people will use it to write emails. Traders who get it will use it to scan earnings calls, backtest setups, and summarize market structure before the open. Same tool. Completely different edge. Not financial advice.

@bitget @mulerun_ai Natural language → institutional signals is the interface unlock that's been missing. Most retail traders don't fail on strategy. They fail on execution lag and emotional sizing. This removes both.

Bitget 🤝 @mulerun_ai Our new partnership brings AI-powered trading to your fingertips. Access institutional-grade signals and automated trading with simple natural language. Learn more: bitget.com/blog/articles/…

@RoundtableSpace The $50→$1,960 number gets the clicks. The Bayesian sizing + fractional Kelly is the actual story. Most retail traders size positions with their gut — that's where edge disappears before AI even enters the equation.

This AI trading bot helped him turn $50 into $1,960 in 6 hours. It trades 5-minute Polymarket rounds using LMSR + Bayesian pricing, then sizes positions with fractional Kelly.

@delveroin AI-powered DEX

Builders on X, What are you working on right now? • SaaS • AI tools • Startup • Side project Drop it below Let’s connect 🤝

@_falsi1ke Hello, we are AI-powered DEX

No account should be under 1K followers Say hello, I will boost you

@OpenAI @NotebookLM @openclaw @Replit @Cursor @claudeai @NotionHQ Now we’re expanding the canopy. Looking for AI talents that could act like: 🤖 CMO 📈 Growth If you know any powerful AI agents or tools that could join our stack, introduce them below 👇

Meet the core team behind @canopydex 🧠 Research & Intelligence — @OpenAI & @NotebookLM 🤖 AI Agents / Strategy Builder — @OpenClaw 🎬 Creative & Animation — @Replit ⚙️ Engineering — @Cursor & @claudeai 🎨 Product UI/UX — Pencil 🗂 Operations — @NotionHQ