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data analysts everywhere just got replaced overnight Pandada AI lets you skip SQL completely.. just ask questions in plain english and boom -> instant professional charts 90% accuracy, 10x faster than coding Here's how:

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Robin Delta

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68,326 görüntüleme • 7 ay önce •via X (Twitter)

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Agencies spend way too much time wrangling spreadsheets and CSVs just to make sense of client data. That’s why I built FlashVU. - Upload a CSV - Ask questions in plain English - Get instant insights + charts you can actually use with clients Smarter reporting. Happier clients. Less time wasted.
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Agencies spend way too much time wrangling spreadsheets and CSVs just to make sense of client data. That’s why I built FlashVU. - Upload a CSV - Ask questions in plain English - Get instant insights + charts you can actually use with clients Smarter reporting. Happier clients. Less time wasted.

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I just replaced my entire research team with ONE agent! 💥 It works 24/7, faster than 3 analysts: → Research anything live → Analyze data in minutes → Create reports & dashboards No hiring. Full autopilot. Reply “RESEARCH” & I’ll show you how—FREE !

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GROK 3 JUST MADE GAME DEVELOPMENT A JOKE No coding, no stress—just tell xAI’s newest model what you want, and it spits out a playable game. One user built a full asteroid-style shooter by simply describing it in plain English. Grok handled everything—HTML, game logic, even score tracking in billions. Copy, paste, drop in a few images and sound files, and boom—instant browser game. AI isn’t just writing code. It’s making coding optional. Source: Dan

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Jane Street made $39.6 billion last year with just 3,500 people. That's $11.3M per employee - 7x Goldman. They didn't do it with more humans. They spent $6 billion on AI and 4,032 GPUs in a Texas data center to make each quant 10x faster. There's now a tool that lets anyone test same tradings strategys in 90 seconds - no coding, no finance degree, just plain English -> Here's what's happening inside the top firms: Man Group ($150B) built an AI on Claude that writes and tests strategies on its own - hundreds a week. A human team tests 20 in a quarter. Bridgewater runs a $2B AI fund making "alpha uncorrelated to what our humans do" The edge was never the idea. It was speed. They test 100 strategies for every 1 you test by hand. Horizon hands that exact speed to regular people. Plain English in. Tested system out. Save this. Re-read it when the waitlist is closed.
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Jane Street made $39.6 billion last year with just 3,500 people. That's $11.3M per employee - 7x Goldman. They didn't do it with more humans. They spent $6 billion on AI and 4,032 GPUs in a Texas data center to make each quant 10x faster. There's now a tool that lets anyone test same tradings strategys in 90 seconds - no coding, no finance degree, just plain English -> Here's what's happening inside the top firms: Man Group ($150B) built an AI on Claude that writes and tests strategies on its own - hundreds a week. A human team tests 20 in a quarter. Bridgewater runs a $2B AI fund making "alpha uncorrelated to what our humans do" The edge was never the idea. It was speed. They test 100 strategies for every 1 you test by hand. Horizon hands that exact speed to regular people. Plain English in. Tested system out. Save this. Re-read it when the waitlist is closed.

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Turn data into insights, faster. 🛰️ Aurora, Pixxel’s Earth observation studio, just got smarter. With Aurora Intelligence, its AI-powered assistant, you can ask questions in natural language, set up your Area of Interest, find the right indices/models to run, and interpret the outputs without navigating complex workflows. Explore now:
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Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!
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Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

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Lately, I’ve been testing this AI Chrome extension called Chat4data and it’s honestly wild how easy it makes web scraping. 🤯 No coding, no confusing setups. Just type what you need in plain English like “Get all product names & prices” and it does the rest. Some highlights: • Scrapes in seconds (literally 3 clicks) • Handles pagination like “click next” or “scroll” • Exports images, videos, and text • You get 1M tokens FREE - no signup hoops It’s especially useful if you do market research, content collection, or just need data off any site fast. Here's the link below if you wanna try it: 🔗

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Minara is now open to everyone! 🔥 No more invite codes — just dive straight into the best-in-class financial AI assistant that works like a personal CFO in your pocket. ✅ Ask anything about crypto, stocks, DeFi, airdrops, trading strategies, events prediction, and more. ✅ Vibe trading crypto and tokenized stocks with a high-win-rate AI copilot. ✅ Create data table, charts and agentic financial workflow with simple prompts. ✅ 10x better in digital finance than generic AI chatbots like ChatGPT — at the same price. Special thanks to our launching partners Circle, Particle Network, CoinGecko, KITE AI, RootData | We're Hiring, DMind AI and imToken for powering a seamless experience from data to trading to automation. Minara is here to redefine how AI + humans interact with money, and we’re just getting started⚡️

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1:10

📎 Genspark for Microsoft Office Genspark AI Slides, Sheets, and Docs Agents are now natively embedded in Microsoft Office as plugins. The same best-in-class AI capabilities you know from Genspark, right inside the apps you already use. 📊 PowerPoint — Create professional slides from simple prompts, using on your own templates. Deep research, outlines, and AI editing are all built in. 📈 Excel — Ask questions about your data. Get analysis, charts, and insights without writing a single formula. 📝 Word — Describe what you need, and get polished, well-formatted documents in seconds. Intelligent editing that understands your document's context, not just its text. No new apps to learn. No copy-pasting between tools. Just open Microsoft Office and use Genspark AI.

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Ever wondered what's moving your portfolio today, or what analysts are saying about a stock you hold? Now you can just ask 💬 The new AI Chatbot lives right inside the app and answers your questions about your investments in plain language, no digging through charts or news feeds required. What makes it different from a generic AI? It knows your portfolio. Ask "what's driving my portfolio today?" and it pulls your actual holdings, checks recent news, and tells you what moved and why. Ask about your stocks, from recent news and analyst ratings to competitor comparisons, or dig into any ETF to see what's inside and how it compares to others. You'll get a clear summary with linked sources 🔍 It works in 20+ languages and suggests follow-up questions after every answer, so you can keep exploring with a tap. Rolling out gradually over the coming weeks. Responses are AI-generated based on your queries and market data. Not human-verified - check against external sources. Trading 212 does not guarantee the accuracy of this experimental feature. This is not investment advice or a personalised recommendation, and does not consider your financial situation. Do your own research before making investment decisions.

Trading 212

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"Claude Code is the first AI tool that can actually recreate how a data scientist thinks." Here's my new episode with Sumeet Marwaha (Head of Data at Brex) on exactly how to build an AI analyst with Claude Code. We covered: ✅ 3 queries to build a data analyst MCP ✅ How to give the analyst both data + context ✅ Exclusive Brex data on which AI tools are crushing it in startups and enterprise Some quotes from Sumeet: "I've set up dashboards many times in my career. They end up getting ignored. Claude will always read it. Claude will always ask the right questions." "You have to set up Claude Code to not just look at the data. It should be able to search Slack, find the incident, and understand why your metrics look wrong." "This tool is absolutely crushing it based on our data. It's both the startup AND enterprise coding tool of choice." 📌 Watch now:
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"Claude Code is the first AI tool that can actually recreate how a data scientist thinks." Here's my new episode with Sumeet Marwaha (Head of Data at Brex) on exactly how to build an AI analyst with Claude Code. We covered: ✅ 3 queries to build a data analyst MCP ✅ How to give the analyst both data + context ✅ Exclusive Brex data on which AI tools are crushing it in startups and enterprise Some quotes from Sumeet: "I've set up dashboards many times in my career. They end up getting ignored. Claude will always read it. Claude will always ask the right questions." "You have to set up Claude Code to not just look at the data. It should be able to search Slack, find the incident, and understand why your metrics look wrong." "This tool is absolutely crushing it based on our data. It's both the startup AND enterprise coding tool of choice." 📌 Watch now:

Peter Yang

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In this video, shows how to use AI to find high-quality Remote Job opportunities in less than 2 minutes. Whether you’re a Data Analyst, Designer, Developer, Marketer, or just looking to land your first remote role, this simple AI workflow can help you discover relevant openings much faster. Watch till the end and start letting AI do the heavy lifting in your job search.
1:07

In this video, shows how to use AI to find high-quality Remote Job opportunities in less than 2 minutes. Whether you’re a Data Analyst, Designer, Developer, Marketer, or just looking to land your first remote role, this simple AI workflow can help you discover relevant openings much faster. Watch till the end and start letting AI do the heavy lifting in your job search.

Jobs with Aramide

141,364 görüntüleme • 13 gün önce

Claude just became your personal automation engineer. (This will change how you build in n8n forever) using n8n’s new MCP server, you can now describe a workflow in plain English… and Claude builds + deploys the entire n8n workflow for you - automatically. you can now: - build full workflows in plain English - deploy straight into your n8n instance (no JSON copy/paste) - spin up custom agents for ads, inventory, email, Slack - whatever - ship automations 10x faster, with 0 tech bottlenecks this is like having a full-time backend engineer for $20/month want the full Claude setup + install guide? comment “AUTOMATE” + follow + repost and I’ll DM you everything (must be following so I can DM)
11:58

Claude just became your personal automation engineer. (This will change how you build in n8n forever) using n8n’s new MCP server, you can now describe a workflow in plain English… and Claude builds + deploys the entire n8n workflow for you - automatically. you can now: - build full workflows in plain English - deploy straight into your n8n instance (no JSON copy/paste) - spin up custom agents for ads, inventory, email, Slack - whatever - ship automations 10x faster, with 0 tech bottlenecks this is like having a full-time backend engineer for $20/month want the full Claude setup + install guide? comment “AUTOMATE” + follow + repost and I’ll DM you everything (must be following so I can DM)

J.B.

380,085 görüntüleme • 1 yıl önce

.bolt.new is the second fastest-growing product in history—only behind ChatGPT. They hit $20M ARR just 60 days after launching the product, and ~$40M ARR (and 1 million DAU) just five months in 🤯 The craziest part is that they almost shut down the company. After seven years of building and iterating, they weren't getting anywhere. It turned out that what they'd been building was exactly what you need to build AI apps in the browser at scale. So they decided to give it one last shot. An overnight success, seven years in the making. In my conversation with Eric Simons (founder and CEO), we discuss: 🔸 Why Anthropic’s 3.5 Sonnet model was the critical breakthrough that made AI-generated code production-ready and unlocked the entire text-to-app market 🔸 How Bolt leverages WebContainer technology—a browser-based operating system developed over seven years—to create a dramatically faster, more reliable AI coding experience than competitors 🔸 How Bolt reached nearly $40M ARR and 3 million registered users in just five months with a team of only 15 to 20 people 🔸 Why PMs may be better positioned than engineers in the AI era 🔸 How AI will dramatically reshape company org charts 🔸 Why Eric lived at AOL’s HQ for many months 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 @Get_Eppo — Run reliable, impactful experiments: 🏆 Fundrise Flagship Fund — Invest in $1.1 billion of real estate: 🏆 OneSchema — Import CSV data 10x faster:
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.bolt.new is the second fastest-growing product in history—only behind ChatGPT. They hit $20M ARR just 60 days after launching the product, and ~$40M ARR (and 1 million DAU) just five months in 🤯 The craziest part is that they almost shut down the company. After seven years of building and iterating, they weren't getting anywhere. It turned out that what they'd been building was exactly what you need to build AI apps in the browser at scale. So they decided to give it one last shot. An overnight success, seven years in the making. In my conversation with Eric Simons (founder and CEO), we discuss: 🔸 Why Anthropic’s 3.5 Sonnet model was the critical breakthrough that made AI-generated code production-ready and unlocked the entire text-to-app market 🔸 How Bolt leverages WebContainer technology—a browser-based operating system developed over seven years—to create a dramatically faster, more reliable AI coding experience than competitors 🔸 How Bolt reached nearly $40M ARR and 3 million registered users in just five months with a team of only 15 to 20 people 🔸 Why PMs may be better positioned than engineers in the AI era 🔸 How AI will dramatically reshape company org charts 🔸 Why Eric lived at AOL’s HQ for many months 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 @Get_Eppo — Run reliable, impactful experiments: 🏆 Fundrise Flagship Fund — Invest in $1.1 billion of real estate: 🏆 OneSchema — Import CSV data 10x faster:

Lenny Rachitsky

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🚨🚨 After almost 2 months of building in public and incorporating a ton of feedback, I finally launched ADSwift - Manage Apple Ads ! A native macOS app for Apple Search Ads + RevenueCat built with privacy in mind. Your campaign and revenue data stay on your Mac. It helps you see what every keyword actually earns, manage campaigns faster, and ask AI questions about your ads in plain English! You can: ✅ see revenue, profit, and ROAS per keyword ✅ manage campaigns, ad groups, keywords, and bids ✅ ask AI questions like "what keywords are wasting spend?" ✅ keep your campaign and revenue data local on your Mac To celebrate the launch, ADSwift is 50% off for a limited time. Yearly Plan - $49.99/year One time Purchase - $99.99 (this option may be removed in the future) Thanks to everyone who shared feedback, tested early versions, and helped shape the product!
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🚨🚨 After almost 2 months of building in public and incorporating a ton of feedback, I finally launched ADSwift - Manage Apple Ads ! A native macOS app for Apple Search Ads + RevenueCat built with privacy in mind. Your campaign and revenue data stay on your Mac. It helps you see what every keyword actually earns, manage campaigns faster, and ask AI questions about your ads in plain English! You can: ✅ see revenue, profit, and ROAS per keyword ✅ manage campaigns, ad groups, keywords, and bids ✅ ask AI questions like "what keywords are wasting spend?" ✅ keep your campaign and revenue data local on your Mac To celebrate the launch, ADSwift is 50% off for a limited time. Yearly Plan - $49.99/year One time Purchase - $99.99 (this option may be removed in the future) Thanks to everyone who shared feedback, tested early versions, and helped shape the product!

Saad 📱

28,219 görüntüleme • 2 ay önce

🌅 Tinybird Forward is here » Forward is a major evolution of Tinybird, designed to make shipping software with big data requirements faster and more intuitive. No complex infra project. No context switching. No esoteric architectures. Just code. Here's what's new: » Local-first developer experience » Instant feedback loops during local dev » Native integration with AI coding agents » End-to-end testing in CI/CD without cloud » Single-command deploy/rollback » Frictionless schema migrations in production » Self-managed Tinybird deployments, for free (🔊 sound on! 👇)
2:54

🌅 Tinybird Forward is here » Forward is a major evolution of Tinybird, designed to make shipping software with big data requirements faster and more intuitive. No complex infra project. No context switching. No esoteric architectures. Just code. Here's what's new: » Local-first developer experience » Instant feedback loops during local dev » Native integration with AI coding agents » End-to-end testing in CI/CD without cloud » Single-command deploy/rollback » Frictionless schema migrations in production » Self-managed Tinybird deployments, for free (🔊 sound on! 👇)

Tinybird

40,537 görüntüleme • 1 yıl önce