Reachy Mini Insight

IntroductionSheetSavvy AI is an AI-powered spreadsheet assistant designed to automate tasks and enhance productivity. Key features include:AI Assistant: Automates tedious tasks like template creation, data analysis, and visualization.AI Formulas: Generates formulas to summarize data, categorize information, and perform sentiment analysis.Formula Generator: Creates complex formulas effortlessly, eliminating manual formula writing.Ideal for:Data analysts seeking to automate repetitive tasks.Business professionals needing quick data summaries and insights.Anyone looking to improve spreadsheet efficiency and accuracy.SheetSavvy AI empowers users to unlock the full potential of their spreadsheets with the power of AI, saving time and improving data-driven decision-making.

AskTuring bridges the gap between generic AI chat tools and expensive enterprise solutions by transforming your business documents into a private, intelligent knowledge base. Unlike traditional AI platforms that may train on or share your data, AskTuring uses zero-trust security and SOC 2 compliance to guarantee complete privacy.With AskTuring, you can:Upload any business document—contracts, manuals, reports, emails, and moreAsk natural language questions and get precise, source-based answers instantlyAccess leading AI models (Claude, ChatGPT, Gemini) securely, without data sharingCollaborate seamlessly with your team, sharing indexes and managing knowledge at scaleBenefit from enterprise-grade security: encrypted storage, private cloud instances, and role-based accessThink of it as having a brilliant employee who has read every document in your business and can answer questions instantly—without ever forgetting, leaking, or training on your data.

Finset.ai is an intelligent financial research platform that transforms complex analysis into automated workflows, enabling investors and analysts to conduct institutional-quality research in minutes rather than hours. Instead of building spreadsheets from scratch or manually gathering data across multiple sources, users can leverage pre-built professional workflows that systematically guide them through comprehensive financial analysis.

CocoIndex is an open-source ETL (Extract, Transform, Load) framework designed for AI workloads. It helps prepare data for semantic search and RAG (Retrieval Augmented Generation) applications with built-in data lineage and observability. Key features include:Ultra-Performant Data Transformation: Core engine written in Rust for high-speed processing.Incremental Processing: Keeps source data and target data synchronized effortlessly.Data Lineage and Observability: Provides insights into data transformations for better understanding and debugging.Low-Code Dataflows: Declare transformations with minimal code, using Python.Ideal for:Data scientists building AI applicationsMachine learning engineers managing data pipelinesDevelopers working on semantic search and RAG systemsCocoIndex offers exceptional developer velocity, allowing you to get production-ready data pipelines up and running quickly with minimal code.

🚀 DatastripesYour no-code, in-browser data engine: explore, analyze, and explain data in minutes.Datastripes is a no-backend, browser-native data engine with over 300+ drag-and-drop nodes, AI-powered insights, and even narrated dashboards, all designed to help you explore, transform, and visualize data instantly, without setup or code.Whether you're a business analyst, data scientist, or marketing professional, Datastripes gives you the tools to build powerful data workflows, directly in your browser.🔑 Key FeaturesFlow-Based AnalyticsBuild custom analytics pipelines visually. Drag, drop, and connect nodes to manipulate data your way; no SQL required.One-Click TransformationsClean and reshape data in seconds with intuitive actions, filters, and joins.AI-Powered Analysis & NarrationGet insights and explanations powered by local AI models, including auto-generated summaries and narrated dashboards.Zero SetupEverything runs in your browser. No backend, no installs, no accounts. Just open and start analyzing.🎯 Built ForBusiness AnalystsData ScientistsMarketing & Ops TeamsProduct ManagersNo-code Builders

Extraction.app - Stop manually typing invoice data. Get your time back.I built extraction.app because a colleague in construction told me his team was wasting 10+ hours every week just typing invoice data into spreadsheets. That's insane.Here's what it does:Takes documents (invoices, receipts, shipping docs, whatever) and pulls out the data you need. No more manual typing.How it actually works:You've got three options depending on your comfort level:Just starting? Click an "Invoice" template. Done. It knows what to extract.Need something specific? Edit the template: "Also grab payment terms and line items"Know exactly what you want? Tell it in plain English (or French): "Extract all product SKUs with quantities and prices, group by supplier"Real numbers:50 invoices that took you 5 hours? Now takes 5 minutes.That receipt pile from last month? 2 minutes instead of 2 hours.Shipping documents? 3 minutes, not 3 hours.What you're getting:No more staying late to finish data entry95%+ accuracy (honestly better than doing it tired at 11pm)Batch upload 50 documents at onceWorks with PDFs, images, CSV, JSON, TXTSupports English and FrenchHas an API if you want to automate itTry it right now: 5 free extractions. No signup. No credit card. Just upload a real invoice and see it work.Pricing:Free: 50 extractions/monthStarter: $2.49/mo for 1,500 extractions (launch promo)Basic: $67/mo for 7,500 extractionsPro: $275/mo unlimitedQuick math: If your time is worth $25/hour and you save 15 hours/month with the Starter plan, that's $375 in value for $2.49. Not bad.Ideal for:Anyone manually entering invoice dataConstruction companies drowning in purchase ordersAccounting firms processing client documentsE-commerce businesses with supplier invoicesBasically anyone who's thought "there HAS to be a better way to do this"Link: extraction.appWhat documents are you still extracting data from manually?