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i made four sport app prototypes this week, using roboflow rapid + SAM3 + python these ideas could be taken further to make $$$ example: SportRadar is a company that sells analytics to sports leagues and betting firms, with a market cap of $6 billion (!!) a few ideas...

219,895 views • 8 months ago •via X (Twitter)

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My Prediction Market Tools list + Trading Workflow A) Tools I use: - Betmoar: Filtering + Analysing specific smart money wallets - HashDive - Prediction Market Analytics: Spotting volume and OI changes + whale flows - Polymarket Analytics: Comparing markets across different Prediction Markets - Polycule: Trading on the go - Polysights: Advanced Metrics related to volatility and trends B) My workflow: 1) I usually trade sports + crypto price prediction markets since I have some kind of expertise there 2) I use Betmoar to filter and find interesting markets. Try to enter new markets as early as possible since there are significant mispricings 3) I then use Hashdive to see what OI changes and whale flows are like for a particular market 4) Polymarket Analytics to compare markets across PM and Kalshi to see where I can get the best price 5) Trade directly through PM and Kalshi for now to execute if im on my laptop and Polycule when I'm not 6) I also check in daily on smart money wallets I follow on BetMoar to see if they've made any interesting trades recently I don't focus on Arbitrage, LPing or delta-neutral trades at all. Prefer to either take directional trades where I have an information edge or I'm early Sometimes I'll 'gamble' on sports markets because it's fun C) Takeaways for you: - Only trade in markets you have in-depth knowledge/edge - Being early is lucrative in prediction markets - Pro tools can save you hours trying to find alpha - Don't use too many tools. Use a few and master them instead - Everyone has their own process. Don't copy mine it won't work for you. The point of this tweet was to educate you on how you can build your own process LMK if there's any other useful tools I should check out that could optimise my workflow further!

Yoshi

31,700 views • 11 months ago

LLM Artifacts Connected to Andrej Karpathy's LLM Knowledge base idea, I've been building out a fun way to generate dynamic artifacts from these knowledge bases with the goal of discovering and revealing meaningful and deeper insights. LLM KBs are hard to consume for humans, as I think they are more built for agents. So the question is, what form would be useful for humans to take actions and make important decisions? That's what I am trying to figure out with these artifacts. The artifact example shows a pulse on HN discussions around AI-related stories. The insights can go deeper, of course, but this is already super fun and thought-provoking, like some of my favorite podcasts. The format and depth matter a lot. The aggregation skills of agents are outstanding if you tune the prompts and skill carefully. I built this artifact generator in a few minutes through an agent skill, but I feel like there are so many ways that LLM-generated information can be used and consumed. Like generating deeper insights and analysis, and things that are just not feasible for humans today. The generated artifact (including its data and design) serves as reusable templates or can be updated in real-time via auomations, which is something I am also working on. It is truly an insane way to monitor and track information. Better than a newsletter. Better than newspapers. There is something about this that gets me really excited about the future of AI agents for knowledge generation and discovery. Lots of hidden gems everywhere just waiting to be discovered and acted on if the information is presented correctly. This is not perfect. The format, style/prose can be improved, but this is easy to customize via skill. You can personalize it to your liking. I feel like these dynamic artifacts are going to emerge as a strong new medium to stay on the cutting edge of things, both for agents and humans. My target is research, of course. This was just a basic example. Besides animation, I am also targeting other components like voice, videos, images, slides, etc. This space is full of opportunities to explore. Skill for this coming soon.

elvis

31,242 views • 3 months ago

I made over 2.5 million dollars this past week betting sports. Yes, it sounds easy. Yes, it sounds simple. But the truth is, this is the result of years of obsession, discipline, and grinding at my craft. I spent four straight years playing poker 18 hours a day. That was my entire life. Wake up, play poker, think about poker, sleep, repeat. That level of focus is how I became one of the top players in the world and made over 10 million dollars playing poker. Poker built my foundation. Discipline, risk management, emotional control, and the ability to perform under real pressure. But the reality is, there are no billionaires in poker. There are billionaires in sports betting. So I went all in on sports betting and walked away from poker completely. I took everything I learned and built this the right way. I hired the best analysts and handicappers in the world, people I met through poker, and brought them together under one operation. Because of the platform I’ve built, these guys make more money working with me than they ever could on their own. That is how I’m able to operate at an extraordinary level and consistently win at a very high rate. Winning 2.5 million dollars in a week is incredible, and I’m grateful, but I’m not satisfied. I’m constantly sharpening my edge and building something bigger. My vision is to turn this into a nine figure a year business. I truly believe I’m on the path to becoming a billionaire one day. I think back to being a kid, dreaming of being a professional gambler, having a gambling themed bar mitzvah, and looking up to my father, one of the best poker players in the world. This path has been inside me for a long time. Today, my entire life revolves around becoming the best sports bettor possible. I wake up thinking about it, go to sleep thinking about it, and live it every single day. Grateful for the journey. Let’s keep going.

Sean Perry

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Boom! Grok Tasks Make It One Of The Most POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3

Brian Roemmele

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Recogard

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Prediction Market is one of the leading Web3 niches in 2024! With about $4 Billion in trading volume, $192 Million in TVL and millions of users in 2024, prediction protocols have been showing tremendous growth and attracting user adoption in Web3. PolyMarket seems to be leading the pack, with over $175M in TVL, and backing from Vitalik Buterin. However, a majority of Prediction Markets, including PolyMarket, currently lacks the flexibility and capital efficiency required for seamless transactions. Also, they are all majorly focused on driving Web2 users thus neglecting the need for markets that cater for short-term, high-risk investments from Web3 Degens. To tackle these flaws, there's a need for a revolutionary contender that understands the need of Web3 Chads That's where Predict Hub comes in PredictHub is a prediction Market that transforms real world events into opportunities for everyone to participate and forecast. Launching on Arbitrum, PredictHub is already catching the attention of major players in the Space by offering something PolyMarket and others don't - Flexibility and Incentives. By offering fast market updates and innovative prediction category like ETF Forecasts, PredictHub is changing how we interact with Prediction Markets. But then, here's where it gets more interesting; PredictHub offer users a unique point system, where you don't just make predictions, you also earn rewards. The more you Predict, the more you earn. These rewards are 2-fold: Nova and Orbit Points. Nova Points are earned by traders based on their trading activity and their leaderboard ranking. Orbit Points, on the other hand, are earned by users who provide liquidity, based on their LP size and duration. Other Point systems include PolyMarket User Points, Leaderboard Bonus and Market Multipliers. These rewards offer users more competitive edge than other prediction markets. Apart from these rewards, PredictHub features a unique 3-tier referral system, rewarding users with even more as you invite your friends. The more friends you bring, the greater the rewards. On top of these, PredictHub focuses on USDC and a wide-range of yield bearing assets like GLP, gUSDC, and sUSDe, enabling users to optimise their earning while holding assets across Networks. Exciting, right? PredictHub is in its Testnet phase and you can start earning Points Right away 🔅 Here's how to Get Started on PredictHub: 1. Go to 2. Request Faucet 3. Start making predictions and earning Points Easy-Peasy ✅ More Info can be gotten from Predict Hub All eyes are on PredictHub as the fix for the flaws of Prediction Market Protocols. With its unique approach targeting untapped niches that most existing prediction markets have yet to explore, I believe the Protocol has the potential to become a breakout success I will be placing good Predictions to Position 🚀🚀🚀

InfoSpace OG

19,674 views • 1 year ago