... owners find out after the damage is done. What CoreCaptain does: DETECT 8 ML-powered anomaly detection rules running 24/7 Phantom stock, sync errors, fulfillment discrepancies Root cause analysis so you know WHY it happened PREDICT 7-day stockout forecasting Demand forecasting

... work on a side project I had been thinking about for a while. I became fascinated by one specific question: Can LLMs meaningfully answer questions about the future? When I started digging deeper, I found benchmarks and platforms like ForecastBench [1], Prophet Arena [2], and Metaculus [3]. What stood out was that the results consistently suggested something interesting: LLMs are already outperforming many humans in forecasting

... into one beautiful dashboard. See your total daily pulse in one glance. TaxWise AI: No more "April Panic". Our engine automatically calculates cross-border taxes, quarterly estimates, and Schedule C categorizations across 9 different countries in real-time. ORACLE Forecasting: We don t just show you past metrics. We use an ensemble XGBoost & Prophet machine learning model to generate 90-day predictive revenue forecasts

... been working on something a bit different from typical data APIs or trading tools a Model Context Protocol (MCP) server for macroeconomic forecasting . MoneyChoice MCP Server provides institutional-grade economic predictions powered by a proprietary quantum-inspired analytical framework . Instead of relying purely on historical price patterns or linear models, it evaluates multiple potential market states simultaneously to surface high-conviction signals. What makes it interesting 80%+ documented prediction accuracy since 2015 Fully transparent performance records (you can verify everything ... ... Designed for AI agents, analysts, and trading systems Returns structured, ready-to-use macro forecasts

... Hello Producthunt! We re building Truedge , an agentic finance system that accelerate month end close by 70%, with built in AI forecasting, budgeting, and FP&A. When you give AI agents the ability to orchestrate finance operations, something interesting happens. The close process stops being static. It starts adapting. Bottlenecks show up before they explode. Forecasts

... metrics. He checked his previous day's metrics: low Energy and high Stressed mood. Today, he consciously scheduled an easy win and blocked his lunch hour. The check-in was less about documenting the past and more about forecasting the day's potential risks. He treated the data like a weather report for his soul, preparing for a low-pressure day. A heartbeat thought by Christian van Gils Start your sickness leave prevention today: www.pulseboard.nl ...

... Weather mini 3.1 for Mac and Vision Pro are finally available on the App Store today. Last week s launch focused on iPhone and iPad. Now you can use Trip Forecasts on the desktop (and in visionOS) to plan multi-city, multi-day trips with on-device Apple Intelligence no account, no cloud AI setup. A few highlights: Type your trip in plain language (cities + dates) and get a structured itinerary with weather for each stop. Designed for Mac with ... ... live Dock icon so you can glance at what matters for your day. I d love feedback on the Mac & Vision Pro experience, especially the Trip Forecasts

... long-term direction is much bigger and we wanted to share where we re heading next. 1. True Multi-Asset Experience Investors want one place where they can access real-economy yield, public assets, private deals and alternative opportunities. We re expanding Rivellium into a unified multi-asset platform that lets users move seamlessly between SMB deals, public markets, and income-producing assets and all in one ecosystem. 2. AI Scoring & Forecasting

... been building Dexsa.ai , an AI spreadsheet that helps finance and operations teams analyse, forecast, and model data instantly using natural language. It s designed to feel as intuitive as Excel, but with automation and intelligence built in. Current features include: Natural-language commands for financial modelling Real-time forecasting

... everyone, We ve been working on a new forecasting package that we believe pushes the boundaries of current state-of-the-art tools. After extensive benchmarks, it consistently outperformed many leaders not just in accuracy (lower MAPE and sMAPE across diverse datasets), but also in training efficiency. What makes it different? Scalability: Handles large datasets with ease. Accuracy: Outperforms popular baselines on real-world benchmarks. Ease of Use: Simple API designed with practitioners in mind. Production-ready: Fast training ...

... makers of Surf a research copilot for crypto folks. Super excited for our first launch. I ve read a ton of guides but would love real advice from makers: 1. Expectations / forecasting Do you usually have a sense of how many participants will show up on launch day or a rough range of upvotes/comments? Any rules of thumb you ve used (e.g., % of Teaser followers who visit, comment to upvote ratios, or targets you set for the first 4 hours ... ... flagged? (We re telling folks to set up PH accounts first and leave thoughtful comments on launch day no vote-asking. Anything else to avoid, like VPNs, account history, or sudden single-burst traffic?) 3. Balancing PH-native reach vs

... powerful LSTM model with your data. Unlike linear models, our LSTM understands the complex, non-linear patterns in your historical series. It recognizes seasonality, dependencies between variables, and long-term trends to give you a super-precise baseline forecast. Use the predefined scenarios: Instantly model a Crisis, Growth, Volatile, or Stagnation market with a single click. Crisis: Get ready for a prolonged collapse to test how resilient your company is. Growth: Plan for success by simulating long-lasting, positive growth ... ... scenarios. It was a huge request from you, the Datastripes community here on Product Hunt. Here some examples: Simulate a sales collapse by applying a multiplier of 0.5. It's perfect for quickly understanding the impact of a new competitor

... Autonomous Scenario node does The Autonomous Scenario node uses a sophisticated deep learning model (LSTM) to help you explore the future of your data with AI. Analyzes Trends : It identifies historical patterns in your numerical data to generate autonomous forecasts. Simulates Events : You can choose from a range of dynamic scenarios, like a Black Swan , Crisis , or Growth event, and instantly see the impact on your data. Explains the Why : For each simulation, it provides a natural-language summary, explaining ...

... everyone, Allen Floyd here, maker of Global Weather Pro! Ever get frustrated when a website's weather widget shows the forecast for the nearest major city instead of your actual location? I certainly did. That s why I built Global Weather Pro, a new WordPress plugin designed to solve that exact problem. It delivers true hyper-local weather forecasts

... working on a weather app that uses AI for voice-powered updates (like read out the weather forecast and wake you up: 'Rain in 30 mins grab your umbrella!'). But it got me thinking: what other cool stuff could AI do? Ultra-local predictions? ("Your backyard BBQ at 3PM will be sunny, but your neighbor s patio will be windy") Eco-friendly tips? ("Water plants today drought risk increases tomorrow") Personalized alerts based on routines? ("Heads-up, temps will drop ... ... days? Seen any creative AI + weather combos out there? Let s chat! Comment from Amber Zhao(@weatherstone): @naveenrajv06   Thanks for sharing! This is awesome. We will definite consider this perspective into our further development. The forecast

... been doing some research on weather apps and I ve been digging into what actually drives people to use other weather apps when they have already have the default ones. Some apps try to stand out by adding more forecast data like pollen index, or even add personality (like snarky captions) or cute designs. I m curious what actually makes a weather app worth switching to ? As a user, what made you download (and stick with) a non-default weather ... ... maker, do you see opportunities in this space, or is it mostly saturated? Would love to hear your thoughts and exchange ideas!:) (PS. We are testing some ideas like providing forecast

... Product Hunt! I m working on Consumely , a tool aimed at helping businesses manage and optimize the usage of multiple SaaS and AI tools , particularly around tracking costs and forecasting consumption . Here s the backstory: I ve had my fair share of frustration with hitting limits on tools like ChatGPT or other AI platforms , where I run out of credits and can t continue. Or worse, the constant overages on SaaS tools that charge you more when you exceed your ... ... plan s usage. It s a pain, right? That's why I thought - what if there was a way to manage all these limits in one place , track usage in real-time , and forecast

... This would be like a weather forecast based on the things you do today. You would also see what steps you could take to improve the forecast