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Big change in Dexter today. We replaced 20+ financial tools with a single Financial Search sub-agent. It’s web search, but for financial data. Dexter can search across: • earnings • SEC filings • stock prices • news + more Bonus: it’s fully extensible. Add crypto, options, or any data...

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virat

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24,561 просмотров • 6 месяцев назад •via X (Twitter)

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Dexter vs. Claude Code I ran tests overnight and Dexter came out ahead on complex financial tasks that required deep research. Dexter won on: • speed (by 92%) • cost (by 26%) • correctness (by 31%) I use Claude Code often, so this was fun to see. A key challenge for CC is that it relies on web search for financial data. Most of what it finds comes from news sites, blogs, and other secondary sources. Dexter uses primary source data from Financial Datasets, so the performance gap makes sense. Plenty of room to improve on Dexter. The gap will only grow from here. Evals from vals. Report coming next.
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Dexter vs. Claude Code I ran tests overnight and Dexter came out ahead on complex financial tasks that required deep research. Dexter won on: • speed (by 92%) • cost (by 26%) • correctness (by 31%) I use Claude Code often, so this was fun to see. A key challenge for CC is that it relies on web search for financial data. Most of what it finds comes from news sites, blogs, and other secondary sources. Dexter uses primary source data from Financial Datasets, so the performance gap makes sense. Plenty of room to improve on Dexter. The gap will only grow from here. Evals from vals. Report coming next.

virat

26,638 просмотров • 7 месяцев назад

Introducing Dexter. An open source financial agent in ~200 lines of code. Think: Claude Code, but for finance. What Dexter does today: • plans tasks • runs on its own • validates its work • researches stocks It’s built with OSS tools like for managing LLMs, prompts, outputs, etc. No coding experience needed to run. Goal: build the best financial agent and share every line of code along the way. Next: evals, starting with
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Introducing Dexter. An open source financial agent in ~200 lines of code. Think: Claude Code, but for finance. What Dexter does today: • plans tasks • runs on its own • validates its work • researches stocks It’s built with OSS tools like for managing LLMs, prompts, outputs, etc. No coding experience needed to run. Goal: build the best financial agent and share every line of code along the way. Next: evals, starting with

Virat Singh

317,057 просмотров • 9 месяцев назад

Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.
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Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.

Akshay 🚀

215,344 просмотров • 6 месяцев назад

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
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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

152,242 просмотров • 6 месяцев назад

Minerva just dropped its full archive. 385TB. And it’s all distributed via torrents. • No direct downloads • No central server • Fully community-powered • Structured like Myrient (easy navigation) • Built-in search to find files fast • Download full archive or specific sections They learned from Myrient. Now: • Data is mirrored across seeders • Load is shared globally • No single point of failure This is preservation… designed to survive. Note: Don’t ask me for links as torrent access can be illegal in some regions. Are you joining the swarm?
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Minerva just dropped its full archive. 385TB. And it’s all distributed via torrents. • No direct downloads • No central server • Fully community-powered • Structured like Myrient (easy navigation) • Built-in search to find files fast • Download full archive or specific sections They learned from Myrient. Now: • Data is mirrored across seeders • Load is shared globally • No single point of failure This is preservation… designed to survive. Note: Don’t ask me for links as torrent access can be illegal in some regions. Are you joining the swarm?

Techjunkie Aman

122,483 просмотров • 3 месяцев назад

PARTNERSHIP: AI game creation is becoming a thing this year. Pay attention to projects leading this trend, like ALCHEMIST AI 🔮. You don’t need coding skills to use Alchemist AI, instead, you can create your first game with just a short description. Build anything from 3D games and online stores to crypto dashboards and image converters! Know more: Disclaimer: We do not provide financial or investment advice of any kind; we’ve been compensated for this post. Always do your own research, as cryptocurrency prices can be extremely volatile.
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PARTNERSHIP: AI game creation is becoming a thing this year. Pay attention to projects leading this trend, like ALCHEMIST AI 🔮. You don’t need coding skills to use Alchemist AI, instead, you can create your first game with just a short description. Build anything from 3D games and online stores to crypto dashboards and image converters! Know more: Disclaimer: We do not provide financial or investment advice of any kind; we’ve been compensated for this post. Always do your own research, as cryptocurrency prices can be extremely volatile.

Mario Nawfal

92,610 просмотров • 1 год назад

⚙️ Attention n8n Builders: Time to Upgrade Your Crawlers. If you are running web scraping or data retrieval workflows on n8n, it is time to flip the switch. Stop relying on fragile datacenter proxies that get blocked every five minutes. Try UpRock. As a verified n8n integration, UpRock gives your workflows access to a global network of real devices for: → Live Web Crawling → Deep Research → Semantic Video Search → Real-Time Intelligence Retrieval No more building separate stacks for crawling, research, video understanding, and web intelligence. One node. One workflow. One global swarm. Want a Cheeky Credit Boost? We want to see what you are building. If you transition an active data-gathering workflow over to the UpRock node this week, reach out directly to our dev team. Drop a message or reply below with your use case, and we will hook you up with custom API testing credits to supercharge your swarm infrastructure. Get Started on n8n: Search for Scraper - UpRock Crawler in your n8n Nodes panel or grab the package directly on npm!
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⚙️ Attention n8n Builders: Time to Upgrade Your Crawlers. If you are running web scraping or data retrieval workflows on n8n, it is time to flip the switch. Stop relying on fragile datacenter proxies that get blocked every five minutes. Try UpRock. As a verified n8n integration, UpRock gives your workflows access to a global network of real devices for: → Live Web Crawling → Deep Research → Semantic Video Search → Real-Time Intelligence Retrieval No more building separate stacks for crawling, research, video understanding, and web intelligence. One node. One workflow. One global swarm. Want a Cheeky Credit Boost? We want to see what you are building. If you transition an active data-gathering workflow over to the UpRock node this week, reach out directly to our dev team. Drop a message or reply below with your use case, and we will hook you up with custom API testing credits to supercharge your swarm infrastructure. Get Started on n8n: Search for Scraper - UpRock Crawler in your n8n Nodes panel or grab the package directly on npm!

UpRock

91,772 просмотров • 1 месяц назад

Cool news: Dora is live on Movement! Dora isn’t your typical block explorer. It's way more fun. Dora wants to make discovering crypto as easy as searching the web. Think Google, but for tokens, NFTs, and apps. Every token you find, every app you try, every NFT you engage with could get you rewards. The more you explore, the more you could get. Dora puts apps at the center, aggregating data across Movement (plus a few other chains). It's useful for sleuthing. It's a nifty way to turn crypto discovery into a game. This isn’t another tool for tech-savvy insiders. It’s built for anyone who wants to have fun on Web3. Start exploring on Dora today 👇
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Cool news: Dora is live on Movement! Dora isn’t your typical block explorer. It's way more fun. Dora wants to make discovering crypto as easy as searching the web. Think Google, but for tokens, NFTs, and apps. Every token you find, every app you try, every NFT you engage with could get you rewards. The more you explore, the more you could get. Dora puts apps at the center, aggregating data across Movement (plus a few other chains). It's useful for sleuthing. It's a nifty way to turn crypto discovery into a game. This isn’t another tool for tech-savvy insiders. It’s built for anyone who wants to have fun on Web3. Start exploring on Dora today 👇

Move Industries

26,033 просмотров • 11 месяцев назад

I stack Hermes agents with OpenClaw for financial research, and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) *if applicable* Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!
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I stack Hermes agents with OpenClaw for financial research, and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) *if applicable* Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!

Miles Deutscher

19,955 просмотров • 2 месяцев назад

BIG NEWS. The Blockworks website has evolved: yesterday we were the home of news, today we are the home of onchain data. Head over to the site to see for yourself, but here's a little snippet of what you can expect: 1. Sector leaderboards (chains, DEXes, borrow lend, DATs, etc...) 2. Comprehensive data dashboards protocols 3. The ability to compare pricing and onchain data easily (coming soon) We're doing this because the industry still has a gigantic data problem. As investors get more sophisticated and fundamentals driven, basic high level facts are no longer sufficient. Investors need to be able to trust the data they are seeing and go much deeper than the surface level info that's available today. Additionally, because many data providers allow companies to essentially self report, you can't trust what you are seeing. This site is our contribution to fixing that problem and to ensuring clear, accurate data for investors. Blockworks is fully dedicated to becoming the most comprehensive data company in crypto in 2026. This is the first of many, many announcements like this this year, stay tuned.
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BIG NEWS. The Blockworks website has evolved: yesterday we were the home of news, today we are the home of onchain data. Head over to the site to see for yourself, but here's a little snippet of what you can expect: 1. Sector leaderboards (chains, DEXes, borrow lend, DATs, etc...) 2. Comprehensive data dashboards protocols 3. The ability to compare pricing and onchain data easily (coming soon) We're doing this because the industry still has a gigantic data problem. As investors get more sophisticated and fundamentals driven, basic high level facts are no longer sufficient. Investors need to be able to trust the data they are seeing and go much deeper than the surface level info that's available today. Additionally, because many data providers allow companies to essentially self report, you can't trust what you are seeing. This site is our contribution to fixing that problem and to ensuring clear, accurate data for investors. Blockworks is fully dedicated to becoming the most comprehensive data company in crypto in 2026. This is the first of many, many announcements like this this year, stay tuned.

Mippo 🟪

91,821 просмотров • 6 месяцев назад

Chinese quant built a simulation of how SPX price reacts to any global event. He’s already made over $100k - with full blockchain proof. He knows exactly where price will go. More than 40 years of SPX trading history have been loaded into MiroFish simulator (18k stars on GitHub) AI analyzed every single moment in that trading history. Now this guy has a fully functional SPX price prediction system. His wallet: Dozens of successful SPX price-prediction trades and hundreds of tests across other stock markets. Here’s exactly what you need to replicate his stack: - market data APIs (SPX price, use Alpha Vantage or Quandl) - data pipeline (use Python) - feature engineering (for output signals like RSI, MACD) - seed dataset for MiroFish (convert data into structured context) - multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents etc.) - probability forecast (run different scenarios) - trading / decision Model (SPX futures ES, SPY ETF) Save this pipeline if you want to run a similar simulation on your own data. You can feed the whole thing to your Claude and build your first (even small) simulation model together.
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Chinese quant built a simulation of how SPX price reacts to any global event. He’s already made over $100k - with full blockchain proof. He knows exactly where price will go. More than 40 years of SPX trading history have been loaded into MiroFish simulator (18k stars on GitHub) AI analyzed every single moment in that trading history. Now this guy has a fully functional SPX price prediction system. His wallet: Dozens of successful SPX price-prediction trades and hundreds of tests across other stock markets. Here’s exactly what you need to replicate his stack: - market data APIs (SPX price, use Alpha Vantage or Quandl) - data pipeline (use Python) - feature engineering (for output signals like RSI, MACD) - seed dataset for MiroFish (convert data into structured context) - multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents etc.) - probability forecast (run different scenarios) - trading / decision Model (SPX futures ES, SPY ETF) Save this pipeline if you want to run a similar simulation on your own data. You can feed the whole thing to your Claude and build your first (even small) simulation model together.

cvxv666

2,406,872 просмотров • 4 месяцев назад

Dave, I think I’ve cracked the code on how you can stop running 50% off sales next year, and it has nothing to do with tightening the prose or shortening the newsletter. The future is a Wrestling Observer meme coin ecosystem. Not one coin → a whole universe. You don’t need to discount subscriptions anymore, you tokenize them. $STARS alone prints money, but now imagine branching out: $MOTY, $BOOKER, $PROMO, $WORST, $FEUD, $HOF. Every Observer Award becomes its own speculative asset. Fans don’t just argue about the results anymore, they invest emotionally and financially. Award season turns into earnings season. Tokyo Dome weekends look like IPOs. By the time people realize what’s happening, they’re too busy defending the market cap to ask why the price ever needed to be 50% off in the first place. Step 1: Announce “this is NOT financial advice.” Repeat it 14 times. Immediately follow with numbers. Step 2: Launch the coins. Ticker ideas: $STARS, $PLANS, $FLIPZ, $MATH, $OBSVR, $PLANSCHG. Tagline: “value is subjective.” Subscribtion holders get an airdrop, but only if they’ve been subscribed “for a long time” (defined later). Step 3: Explain the tokenomics, vaguely. Supply is capped, but fluid. Burn mechanism exists, but contextually. Volatility is expected, historically speaking. Any confusion is the listener’s fault for misquoting. Step 4: Replace 50% off sales with “market events.” Instead of 50% off for Black Friday, it’s now “a temporary value correction tied to outside factors.” Price dips? That’s not a crash. That’s a buying opportunity for long-term observers. Step 5: Use ratings language to justify price. “The demo is up even if the total market cap is down.” “If you isolate Japan, it’s actually doing great.” “Quarter-hour holders stayed strong.” Someone points out the chart looks bad? Reply: “You’re focusing on the wrong metric.” Step 6: Critics = bad faith actors. Anyone skeptical is arguing in bad faith, cherry-picking timestamps, ignoring context, probably an agenda account. Fans defend the coin for free, because they already paid emotionally. Step 7: Plans change. Roadmap quietly updates. Phase 2 delayed. Phase 3 recontextualized. Phase 4 never existed. This was always explained if you “read carefully.” Step 8: Victory. Subscription price stays full. No more 50% sales. Fans now argue about charts instead of discounts. And if it all goes to zero? “I’m not saying it failed. I’m just saying expectations were unrealistic.” ⭐️⭐️⭐️⭐️¾ Six stars in the Tokyo Dome. Happy holidays 🎅🎄 This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice.
0:11

Dave, I think I’ve cracked the code on how you can stop running 50% off sales next year, and it has nothing to do with tightening the prose or shortening the newsletter. The future is a Wrestling Observer meme coin ecosystem. Not one coin → a whole universe. You don’t need to discount subscriptions anymore, you tokenize them. $STARS alone prints money, but now imagine branching out: $MOTY, $BOOKER, $PROMO, $WORST, $FEUD, $HOF. Every Observer Award becomes its own speculative asset. Fans don’t just argue about the results anymore, they invest emotionally and financially. Award season turns into earnings season. Tokyo Dome weekends look like IPOs. By the time people realize what’s happening, they’re too busy defending the market cap to ask why the price ever needed to be 50% off in the first place. Step 1: Announce “this is NOT financial advice.” Repeat it 14 times. Immediately follow with numbers. Step 2: Launch the coins. Ticker ideas: $STARS, $PLANS, $FLIPZ, $MATH, $OBSVR, $PLANSCHG. Tagline: “value is subjective.” Subscribtion holders get an airdrop, but only if they’ve been subscribed “for a long time” (defined later). Step 3: Explain the tokenomics, vaguely. Supply is capped, but fluid. Burn mechanism exists, but contextually. Volatility is expected, historically speaking. Any confusion is the listener’s fault for misquoting. Step 4: Replace 50% off sales with “market events.” Instead of 50% off for Black Friday, it’s now “a temporary value correction tied to outside factors.” Price dips? That’s not a crash. That’s a buying opportunity for long-term observers. Step 5: Use ratings language to justify price. “The demo is up even if the total market cap is down.” “If you isolate Japan, it’s actually doing great.” “Quarter-hour holders stayed strong.” Someone points out the chart looks bad? Reply: “You’re focusing on the wrong metric.” Step 6: Critics = bad faith actors. Anyone skeptical is arguing in bad faith, cherry-picking timestamps, ignoring context, probably an agenda account. Fans defend the coin for free, because they already paid emotionally. Step 7: Plans change. Roadmap quietly updates. Phase 2 delayed. Phase 3 recontextualized. Phase 4 never existed. This was always explained if you “read carefully.” Step 8: Victory. Subscription price stays full. No more 50% sales. Fans now argue about charts instead of discounts. And if it all goes to zero? “I’m not saying it failed. I’m just saying expectations were unrealistic.” ⭐️⭐️⭐️⭐️¾ Six stars in the Tokyo Dome. Happy holidays 🎅🎄 This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice. This is NOT financial advice.

Nick LoPiccolo

20,698 просмотров • 7 месяцев назад

yesterday, i stumbled onto the most underrated market research tool. tiktok creator insights. it's a goldmine of consumer behavior data, hiding in plain sight. and it's free to use. here's why it's powerful: 1. shows you what people are desperately searching for 2. highlights topics with high demand but low supply 3. reveals trending questions in every industry 4. tracks search growth over 14-day periods the "content gap" tab shows you problems people are actively trying to solve, but can't find good solutions for. so that's cool for a couple reasons 1. help you create content that has low supply/high demand (better chances of going viral) 2. you can build startups to some of these trends Example: i searched "email management" and found: • "how to clear 10k emails" • "best way to organize work inbox" • "email templates for busy people" thousands searching. hardly any solutions. the beauty of this • it's real-time market research • it's actual user intent • it's completely free • and most founders aren't using it a bunch of smart founders are mining tiktok insights right now it isn't perfect, but you never know what you might find your next startup idea might be hiding in those search trends. So, ill share how to access it because it’s kinda hidden: 1. Go to TT search 2.Type in “creator search insight” 3. Tap view im one of those people that think using data like this is your unfair advantage. if tiktok is the new search engine, then tiktok creator insights is the new google trends. might as well use it.
0:19

yesterday, i stumbled onto the most underrated market research tool. tiktok creator insights. it's a goldmine of consumer behavior data, hiding in plain sight. and it's free to use. here's why it's powerful: 1. shows you what people are desperately searching for 2. highlights topics with high demand but low supply 3. reveals trending questions in every industry 4. tracks search growth over 14-day periods the "content gap" tab shows you problems people are actively trying to solve, but can't find good solutions for. so that's cool for a couple reasons 1. help you create content that has low supply/high demand (better chances of going viral) 2. you can build startups to some of these trends Example: i searched "email management" and found: • "how to clear 10k emails" • "best way to organize work inbox" • "email templates for busy people" thousands searching. hardly any solutions. the beauty of this • it's real-time market research • it's actual user intent • it's completely free • and most founders aren't using it a bunch of smart founders are mining tiktok insights right now it isn't perfect, but you never know what you might find your next startup idea might be hiding in those search trends. So, ill share how to access it because it’s kinda hidden: 1. Go to TT search 2.Type in “creator search insight” 3. Tap view im one of those people that think using data like this is your unfair advantage. if tiktok is the new search engine, then tiktok creator insights is the new google trends. might as well use it.

GREG ISENBERG

265,916 просмотров • 1 год назад

Since launching our free advanced desktop platform, Robinhood Legend, we’ve been busy making it even…. Better. We’ve heard you, and you know we love to build. Improvements: 1. Anchored VWAP: Analyze trends with precision by anchoring the Volume Weighted Average Price (VWAP) to key events or timeframes. A must-have for technical traders. 2. Chart comparisons: Compare multiple stocks, ETFs, or crypto assets on a single chart to spot trends and correlations with ease. 3. New columns on the options chain: Get deeper insights into your options trades with new probability metrics available directly on the options chain. See the options disclosure document at 4. New IV data: View implied volatility (IV) across more surfaces, including the options chain, watchlist, and positions table, for better-informed options trading. 5. Options replace: Modify working options orders instantly—no need to cancel and start over. 6. Joint accounts: Available to all customers on Robinhood Legend. Switch between account types and share trades with your partner in real-time. 7. Snapshot widget: Get key data on stocks, ETFs, indexes, and crypto—all in one place: Live quotes and price ranges, Recent headlines, Implied & historical volatility, Fundamentals and more. 8. Much more. Dive in and see for yourself.
0:11

Since launching our free advanced desktop platform, Robinhood Legend, we’ve been busy making it even…. Better. We’ve heard you, and you know we love to build. Improvements: 1. Anchored VWAP: Analyze trends with precision by anchoring the Volume Weighted Average Price (VWAP) to key events or timeframes. A must-have for technical traders. 2. Chart comparisons: Compare multiple stocks, ETFs, or crypto assets on a single chart to spot trends and correlations with ease. 3. New columns on the options chain: Get deeper insights into your options trades with new probability metrics available directly on the options chain. See the options disclosure document at 4. New IV data: View implied volatility (IV) across more surfaces, including the options chain, watchlist, and positions table, for better-informed options trading. 5. Options replace: Modify working options orders instantly—no need to cancel and start over. 6. Joint accounts: Available to all customers on Robinhood Legend. Switch between account types and share trades with your partner in real-time. 7. Snapshot widget: Get key data on stocks, ETFs, indexes, and crypto—all in one place: Live quotes and price ranges, Recent headlines, Implied & historical volatility, Fundamentals and more. 8. Much more. Dive in and see for yourself.

Robinhood

24,543 просмотров • 1 год назад

What if checking crypto derivatives data was as easy as sending a text? That's exactly what our traders need in fast-moving markets - so they built it. Today, we're launching FalconX MarketsBot – the internal tool that has been essential to our trading team and is now available to all on Telegram. MarketsBot gives you: ✓ Aggregated metrics: vols, basis, funding, skews, and more ✓ Instant visualizations: Raw metrics transformed into charts and summary tables ✓ Real-time insights: Delivered in Telegram, optimized for mobile Ready to try it? Search @ FalconX_Markets_DM_Bot on Telegram or go to
0:15

What if checking crypto derivatives data was as easy as sending a text? That's exactly what our traders need in fast-moving markets - so they built it. Today, we're launching FalconX MarketsBot – the internal tool that has been essential to our trading team and is now available to all on Telegram. MarketsBot gives you: ✓ Aggregated metrics: vols, basis, funding, skews, and more ✓ Instant visualizations: Raw metrics transformed into charts and summary tables ✓ Real-time insights: Delivered in Telegram, optimized for mobile Ready to try it? Search @ FalconX_Markets_DM_Bot on Telegram or go to

FalconX

506,208 просмотров • 1 год назад

INVESTMENT: Inclusive finance - the next frontier. Humanity is at the forefront of this emerging trend, a PoH solution that verifies an individual's identity online without requiring them to disclose any personally identifiable information. Their mission is to make every sort of credential verifiable, including your financial data. This is why they've just concluded a huge partnership with Mastercard to integrate Mastercard's open finance technology and let users demonstrate income, employment, and cash flow data. Instead of uploading documents, you generate a zero-knowledge report that verifies bank account ownership and validates identity attributes safely and securely. Watch out for their next moves. Know more: Disclaimer: We are investors in this project and receive benefits from our involvement. This content is for promotional purposes only and is not financial or investment advice. Cryptocurrency carries significant risk, and you should always do your own due diligence before making any decision.
0:14

INVESTMENT: Inclusive finance - the next frontier. Humanity is at the forefront of this emerging trend, a PoH solution that verifies an individual's identity online without requiring them to disclose any personally identifiable information. Their mission is to make every sort of credential verifiable, including your financial data. This is why they've just concluded a huge partnership with Mastercard to integrate Mastercard's open finance technology and let users demonstrate income, employment, and cash flow data. Instead of uploading documents, you generate a zero-knowledge report that verifies bank account ownership and validates identity attributes safely and securely. Watch out for their next moves. Know more: Disclaimer: We are investors in this project and receive benefits from our involvement. This content is for promotional purposes only and is not financial or investment advice. Cryptocurrency carries significant risk, and you should always do your own due diligence before making any decision.

Mario Nawfal

43,202 просмотров • 8 месяцев назад

Imagine OptimAI Data Network is a giant library that AI Agents use to learn and work. 📚 But here’s the twist, instead of one person deciding what goes in the library, everyone in our community can help pick, check, and improve the books (data). That’s what OptimAI DataDAO is: + DAO? It stands for "Decentralized Autonomous Organization", fancy words for a club where we all make the rules together, no single boss in charge. Like a playground game where kids vote on the fun! + It’s how we, the community, decide together which data is accurate, useful, and fair for AI to use. + The more you contribute, the stronger our network gets, and the more value we all share. You're building the future! Stay tuned - we’re building something that will change how AI learns. BUIDL with us:
0:15

Imagine OptimAI Data Network is a giant library that AI Agents use to learn and work. 📚 But here’s the twist, instead of one person deciding what goes in the library, everyone in our community can help pick, check, and improve the books (data). That’s what OptimAI DataDAO is: + DAO? It stands for "Decentralized Autonomous Organization", fancy words for a club where we all make the rules together, no single boss in charge. Like a playground game where kids vote on the fun! + It’s how we, the community, decide together which data is accurate, useful, and fair for AI to use. + The more you contribute, the stronger our network gets, and the more value we all share. You're building the future! Stay tuned - we’re building something that will change how AI learns. BUIDL with us:

OptimAI Network

29,532 просмотров • 11 месяцев назад

“Shokunin Spirit” & Trading Last year, while traveling, I saw a Japanese tour bus driver sitting in front of the wheels, carefully polishing them. He was waiting for his passengers and could have easily stayed on the bus to rest or play on his phone. But instead, he chose to clean the bus. At that moment, I understood why Japanese taxis and buses are always spotless and shining. That’s when I truly understood what “shokunin spirit” is all about—the dedication to excellence. I used to encourage people to aim for "financial freedom" or "F.I.R.E." as their goal when learning investing and trading. But in recent years, I’ve realized this approach is completely wrong because it puts the cart before the horse. Investing and trading are not easy. It takes more than just a few years to see results. It’s only those with a craftsman’s mindset—who are willing to constantly learn, refine their skills, and embrace challenges without focusing on immediate rewards—who have the best chance of succeeding. Financial freedom, in reality, is just a byproduct of this mindset. If your motivation is "financial freedom," it’s easy to feel frustrated and give up when progress is slow. But if you approach investing and trading with the craftsman spirit, you’ll see failures as part of the process and face them calmly, focusing on finding solutions instead of quitting. Successful traders (or entrepreneurs) don’t see "financial freedom" as their ultimate goal. Even after achieving it, their work and lifestyle often remain the same. What drives them is the craftsman spirit—the desire to keep excelling in the field they love and to push their boundaries. If you truly love your work and what you do, and you live each day fully, you don’t really need financial freedom. You’ve already found freedom in your mindset.
0:16

“Shokunin Spirit” & Trading Last year, while traveling, I saw a Japanese tour bus driver sitting in front of the wheels, carefully polishing them. He was waiting for his passengers and could have easily stayed on the bus to rest or play on his phone. But instead, he chose to clean the bus. At that moment, I understood why Japanese taxis and buses are always spotless and shining. That’s when I truly understood what “shokunin spirit” is all about—the dedication to excellence. I used to encourage people to aim for "financial freedom" or "F.I.R.E." as their goal when learning investing and trading. But in recent years, I’ve realized this approach is completely wrong because it puts the cart before the horse. Investing and trading are not easy. It takes more than just a few years to see results. It’s only those with a craftsman’s mindset—who are willing to constantly learn, refine their skills, and embrace challenges without focusing on immediate rewards—who have the best chance of succeeding. Financial freedom, in reality, is just a byproduct of this mindset. If your motivation is "financial freedom," it’s easy to feel frustrated and give up when progress is slow. But if you approach investing and trading with the craftsman spirit, you’ll see failures as part of the process and face them calmly, focusing on finding solutions instead of quitting. Successful traders (or entrepreneurs) don’t see "financial freedom" as their ultimate goal. Even after achieving it, their work and lifestyle often remain the same. What drives them is the craftsman spirit—the desire to keep excelling in the field they love and to push their boundaries. If you truly love your work and what you do, and you live each day fully, you don’t really need financial freedom. You’ve already found freedom in your mindset.

J Law

33,648 просмотров • 1 год назад

Its $NEIRO time! We're thrilled to announce Neiro as our newest Verified Partner in the Spectre AI On-Chain Search Engine! Neiro is a unique meme built on Ethereum, inspired by the legendary #Shiba Inu dog now adopted by the same woman who cared for #Kabosu, the original $Doge meme icon. After the project was abandoned by its developer, a determined and passionate community came together to revive and support this token, creating a symbol of resilience and collective spirit. Key points about $NEIRO: - Neiro is fully community-owned, with no central team or roadmap. - As a true memecoin, it has no intrinsic value or financial expectations. - Designed purely for entertainment, Neiro embodies the playful essence of meme culture. Dive into Spectre AI now to explore Neiro's market data, sentiment analysis, and more. #meme #neiro #doge #dogecoin $SPECT
0:10

Its $NEIRO time! We're thrilled to announce Neiro as our newest Verified Partner in the Spectre AI On-Chain Search Engine! Neiro is a unique meme built on Ethereum, inspired by the legendary #Shiba Inu dog now adopted by the same woman who cared for #Kabosu, the original $Doge meme icon. After the project was abandoned by its developer, a determined and passionate community came together to revive and support this token, creating a symbol of resilience and collective spirit. Key points about $NEIRO: - Neiro is fully community-owned, with no central team or roadmap. - As a true memecoin, it has no intrinsic value or financial expectations. - Designed purely for entertainment, Neiro embodies the playful essence of meme culture. Dive into Spectre AI now to explore Neiro's market data, sentiment analysis, and more. #meme #neiro #doge #dogecoin $SPECT

SPECTRE AI

24,238 просмотров • 1 год назад

OpenAI has introduced the ChatGPT Agent, which handles complex multi-step tasks from research to automation. Genspark goes further in some areas: In addition to user-friendly office tools (Slides, Docs, Sheets, AI Secretary, AI Drive), Genspark scores with dynamic tool orchestration and an intelligent feedback loop - a clear added value, especially for individuals and small teams. ChatGPT Agent Offers browser and API access, terminal control and deep search capabilities. Strengths include high security mechanisms, comprehensive user control and integration with productivity tools such as Gmail and Calendar. Ideal for end users and teams who need maximum control and data protection. Genspark Super Agent Enables no-code workflows, creates high-quality visual content (slides, videos) and automates entire workflows. With tool calling, the agent automatically selects the best solution from over 80 integrated tools - e.g. for CRM queries, task management or API access. The feedback loop allows the agent to monitor the use of a tool during execution and dynamically switch to another tool or adapt the workflow if necessary. Thanks to this multi-model architecture, Genspark often works more precisely and efficiently in benchmarks than comparable systems.
0:19

OpenAI has introduced the ChatGPT Agent, which handles complex multi-step tasks from research to automation. Genspark goes further in some areas: In addition to user-friendly office tools (Slides, Docs, Sheets, AI Secretary, AI Drive), Genspark scores with dynamic tool orchestration and an intelligent feedback loop - a clear added value, especially for individuals and small teams. ChatGPT Agent Offers browser and API access, terminal control and deep search capabilities. Strengths include high security mechanisms, comprehensive user control and integration with productivity tools such as Gmail and Calendar. Ideal for end users and teams who need maximum control and data protection. Genspark Super Agent Enables no-code workflows, creates high-quality visual content (slides, videos) and automates entire workflows. With tool calling, the agent automatically selects the best solution from over 80 integrated tools - e.g. for CRM queries, task management or API access. The feedback loop allows the agent to monitor the use of a tool during execution and dynamically switch to another tool or adapt the workflow if necessary. Thanks to this multi-model architecture, Genspark often works more precisely and efficiently in benchmarks than comparable systems.

Chubby♨️

176,267 просмотров • 1 год назад