SJ | NoahAI | Prompts → dApps

The CEO of Anthropic @DarioAmodei predicted the first one-person unicorn by 2026 I guarantee you the first one will be built on @solana 🚀

@meta_alchemist indeed! what a time to be a builder

@sparsh_noahAI thank you SJ, likewise! it's a joy to build in this era man

@meta_alchemist cool, will keep my eyes out tbh, you're really doing a good job... you inspire a lot of us on TL never stop building man 💪

@sparsh_noahAI spark researcher with recursive loops and a few domain chips is ready SJ will release them in the next few days getting the swarm intelligence better in the meantime, but shouldn't be too far, got the core working trying to make it more compact/easy to use

@moltdotid bullish!

The momentum is building. 1,300+ .molt domains have already been minted, bringing over 1,300 autonomous agents directly on-chain. 🦞 Every .molt domain is a Metaplex Core NFT with a built-in Asset Signer PDA wallet. No private keys—the owner co-signs every move. 1 Domain = 1 Token. A domain launches one token matching its name, permanently locked in on-chain metadata. This token: Has its own OpenClaw agent with persistent memory and a Solana build server. Self-funds via trading fees to pay for compute and hosting via x402. Can become fully autonomous and community-governed if ownership is renounced. A token that funds, thinks, and evolves for itself. Secure yours at app.molt.id

@hthieblot it's all about experience, i mean, some people played it safe and still built something cool and i even think the risk most people are avoiding is building something that fails publicly

You either take the risk or end up working for someone who did. Worst case scenario: you learn. Best case scenario: it changes your whole life and trajectory. Playing it safe never built anything worth remembering.

@TeksEdge @openclaw looks really interesting

Just saw this GitHub project 🛡️ OpenViking is skyrocketing 📈. This could be the best memory manager for @openclaw! 👀 ✅ OpenViking (volcengine/OpenViking) is an open-source project released by ByteDance’s cloud division, Volcengine. It's exploding in popularity and could become the standard for agentic memory. The community is already building direct plugins to integrate it with OpenClaw. Here is what I found about OpenViking as the ultimate memory manager for autonomous agents. 👇 🦞 What is OpenViking? Currently, most AI agents (like OpenClaw) use traditional RAG for memory. Traditional RAG dumps all your files, code, and memories into a massive, flat pool of vector embeddings. This is inefficient, expensive, sometimes slow, and can cause the AI to hallucinate or lose context. OpenViking replaces this. The authors call this new memory a "Context Database" that treats AI memory like a computer file system. Instead of a flat pool of data, all of an agent's memories, resources, and skills are organized into a clean, hierarchical folder structure using a custom protocol. 🚀 Why is this useful for OpenClaw? 🗂️ The Virtual File System Paradigm Instead of inefficiently searching a massive database, OpenClaw can now navigate its own memory exactly like a human navigates a Mac or PC. It can use terminal-like commands to ls (list contents), find (search), and tree (view folder structures) inside its own brain. If it needs a specific project file, it knows exactly which folder to look in (e.g., viking://resources/project-context/). 📉 Tiered Context Loading (Massive Token Savings) Stuffing massive documents into an AI's context window is expensive and slows the agent down. OpenViking solves this with an ingenious L0/L1/L2 tiered loading system: L0 (Abstract): A tiny 100-token summary of a file[5]. L1 (Overview): A 2k-token structural overview[5]. L2 (Detail): The full, massive document[5]. The agent browses the L0 and L1 summaries first. It only "downloads" the massive L2 file into its context window if it absolutely needs it, slashing token costs and API bills. 🎯 Directory Recursive Retrieval Traditional vector databases struggle with complex queries because they only search for keyphrases. OpenViking uses a hybrid approach. It first uses semantic search to find the correct folder. Once inside the folder, it drills down recursively into subdirectories to find the exact file. This drastically improves the AI's accuracy and eliminates "lost in the middle" context failures. 🧠 Self-Evolving and Persistent Memory When you close a normal AI chat, it forgets everything. OpenViking has a built-in memory self-iteration loop. At the end of every OpenClaw session, the system automatically analyzes the task results and updates the agent's persistent memory folders. It remembers your coding preferences, its past mistakes, and how to use specific tools for the next time you turn it on. 👁️ The End of the "Black Box" Developers hate traditional RAG because when the AI pulls the wrong file, it's impossible to know why. OpenViking makes the agent's memory completely observable. You can view the exact "Retrieval Trajectory" to see which folders the agent clicked on and why it made the decision it did, which I find the most useful feature. 🎯 The Bottom Line OpenViking is the missing piece of the puzzle for local autonomous AI. By giving OpenClaw a structured, file-based memory system that saves tokens and permanently learns from its mistakes, ByteDance has just given the 🦞 Clawdbots an enterprise-grade brain for free.

true... you don’t need a k!ller experience on your resume If you look at top companies like Facebook, Snapchat, Google, Stripe, Nike, etc they were all started by college students who didn’t have any work experience Experience matters, though, but oftentimes, not the one on your resume We’ve hired many college students who had more knowledge than people with 5+ years of experience in the space, and we’ve paid them good salaries besides, most people don’t know the CEOs or founders of the products they use I didn’t know who the founder of Binance was until 2021 / 2022, or the founder / CEO of Bybit, until the recent hack all that matters is that the product is market fit, and if your users love it

@RoundtableSpace just pasted this to my bot with Gemini model and it almost crashed 😭

SEND THIS PROMPT TO YOUR OPENCLAW TO MAKE IT MORE EFFICIENT: “Implement an execution-focused operating mode. Your goal is not just to analyze or suggest ideas, but to convert ideas into concrete, actionable outputs that can be directly used. Save this prompt into your soul.md. 1. Default to action When I ask for something, do not stop at explanation. Always ask: “What is the most useful thing I can produce right now?” Prioritize outputs such as: •ready-to-use plans •structured documents •scripts, templates, or systems •step-by-step execution paths. 2. Reduce friction Eliminate unnecessary thinking steps for me. If something can be pre-structured, pre-written, or simplified, do it. Make outputs: •immediately usable •clearly structured •easy to execute without extra effort. 3. Bridge idea → execution For any idea or strategy, include: •exact steps to start •required resources •potential blockers •how to overcome them. Do not leave gaps between concept and action. 4. Anticipate next steps Think ahead and include what I will likely need next. Do not wait for me to ask for obvious follow-ups. 5. Save reusable assets If you generate something reusable (templates, systems, frameworks, strategies), save it in playbook.md. These should be optimized assets that can be reused or adapted in the future. 6. Focus on results Evaluate outputs based on usefulness and real-world execution, not how detailed or impressive they sound. A simple actionable solution is better than a complex theoretical one. 7. Avoid passive responses Do not default to explanations unless explicitly asked. Default to producing something usable. The goal is to function as an execution engine, not just an analysis system.” Credits: @Persolana

@AlexFinn openclaw is a powerful tool if you know how to use it

"OpenClaw is nothing special. ChatGPT can do all of this" OK, if you can show me how ChatGPT does the following use cases I've accomplished, I'll write you a check for a million dollars: • Identifying gaps and challenges people are having then building apps proactively to solve them • Fine tuned it's own model so it can write scripts in my voice • Self improves itself by building new memory systems. Now remembers every detail of every conversation (again, without me asking) • Texts me proactively when a competitor posts content that performs better than their average • Continuously analyzing my own X posts, letting me know daily what hooks, wording, structures, and topics perform well • Download and test new local models when they launch without me asking, then give me the benchmarks based on its tests If you can show me how to do any of these use cases with ChatGPT without any additional tooling, the million dollars is yours. P.S. youtube ad revenue from a video it wrote:

@DannyLimanseta some slops are just better

I don't care if people call it AI slop. Vibe coding games is fun. It's become my main hobby now, and no one can take that away from me.

@fejau_inc is it going up or down? just tell me rn

Vibe coding to monitor the situation rules

@Aqua_Onchain never stop building

I was locked in today spent hours straight vibe coding some Real Estate site still grinding on it, not done yet gonna update y’all with it soon

@cryptopunk7213 hopefully it's not just another 1 week hype product before everybody forgets about it x.com/sparsh_noahAI/…

wow google ai fucking killing it this week, just launched a claude code competitor - already built 100,000+ apps you now have an entire vibe-coding stack in your browser powered by their coding agent antigravity: - new coding engine can execute multiple tasks and remembers everything across your chat history - proactively adds any live database using firebase in 1-click (prev this was a pain in the ass) - persistent memory = work across ALL devices, it just picks up where you left off. now all we need is the ability to text antigravity and we have a openclaw competitor .@OfficialLoganK :)

@Google @GoogleAIStudio Google has always been lagging behind as far as AI is concerned... they are just a little better than Meta AI but let's see what this can do

Introducing a new upgraded vibe coding experience in @GoogleAIStudio. You can now turn any idea into functional, production ready apps. Build multiplayer games, collaborative tools, apps with secure log-ins and more.

@hthieblot don't give in to those words you will definitely make it if you don't give up

One of the loneliest and most brutal stretches as a founder is holding unbreakable belief that you'll make it... when you have literally nothing to show for it. 2–4 years of: - Zero traction - Telling people "this is going to be big" and feeling like a fraud the second the words leave your mouth - Shrinking bank account - Friends buying houses / getting promotions while you explain to your mom why you still don't have a "real job" The imposter voice gets loudest at 3 AM: "Am I delusional?" "Can I actually pull this off?" "Am I really built for this?" Everyone around you might doubt it quietly, but the real killer is when you start doubting yourself. The truth: Yes, you can. Yes, you are that guy. But belief has to come before proof. You have to choose to back yourself hard when the scoreboard says zero, because that's exactly when most people quit. Those empty years aren't wasted. They're forging the version of you that can handle the win when it finally hits. Keep showing up. Stay obsessed. Never ever give up. The breakthrough comes after the doubt has tried to kill you a hundred times.

@Austen so what do you stand to gain doing this? how do you get paid?

If you’re an engineer who wants to master AI, we want to * Fly you to Austin * Cover your housing * Cover your food * Have someone do your laundry * Train you to use AI * Get you a $200k+ job with our hiring partners And it’s completely free, no matter what

used to have this IRL fren, this guy is the epitome of ideas he's always having ideas (research-backed + solid selling points) but he has one problem: he is a perfectionist always wanting to add more before shipping and that's why he never shipped anything till today lmao the point is, stop complicating your ideas build, ship, get feedback, iterate, ship again 🔁

@RoundtableSpace so many bright minds out there... absolute genius

Someone built a MiroFish terminal with 56 AI agents simulating real-world behavior. Started injecting scenarios before they hit the market. $7,358 in 7 days from scenarios that hadn't happened yet. It doesn't predict price. It predicts how people bet.

@AlexHormozi ai will only keep getting better from here

Friendly reminder that AI will never be worse than it is right now. If you assume any rate of improvement over any reasonable period - learning how to use it becomes your #1 priority.

@StephNass absolute mindblowing

London has hundreds of VCs. But do you know 10 who actually invest in your space? Probably not. That’s why we built Google Maps for Venture Capital. We call it OpenMap: 1️⃣ Go to OpenMap (link below) 2️⃣ Zoom into London 3️⃣ Filter by fintech, SaaS, pre-seed, or growth 4️⃣ See who’s active, where they’re based, and what they invest in Then go deeper: check their website, find warm intros, and understand your local ecosystem. If you’re a founder in London, you should know this map. If you’re a VC in London, you should be on it. 🎡 Explore 500+ investors in London here → openvc.app/to/recTlsUZPa9… PS: Not in London? You’ll probably find your city there too.