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Show HN: LegendAI-Amazon Sales Tracker https://ift.tt/Qmk4XB9
Show HN: LegendAI-Amazon Sales Tracker Get Actual Not Estimate Amazon Product Data! Real-Time Amazon Sales and Data Insights. Get accurate s...
Sunday, April 30, 2023
Show HN: Adzviser – Digital marketers' copilot for getting data [video] https://ift.tt/QCLI6el
Show HN: Adzviser – Digital marketers' copilot for getting data [video] Hello friends - I spent the past 6 months building this search bar for marketers so that they can get their campaign performance data easier and faster. Currently they either have to manually pull those data from Google Ads, Facebook Ads, etc., or to use some connectors, such as Supermetrics/Fivetran, to automate the data pulling process and then build a reporting dashboard from it. I believe that those marketing data and reports can be "one search away". So I built a software prototype that 1) has OAuth2.0 connections to Google Ads 2) translates natural language prompt to Google Ads Query Language 3) generates table and visualization output Contact us: adzviser.com/contact-us https://www.youtube.com/watch?v=O7CWf5Kaypg May 1, 2023 at 12:37AM
Show HN: Eva AI-Relational Database System for Faster AI-Powered Applications https://ift.tt/Wjd8OLE
Show HN: Eva AI-Relational Database System for Faster AI-Powered Applications Hi friends, We are building EVA, an AI-Relational database system with first-class support for deep learning models. Our goal with EVA is to create a platform that supports AI-powered multi-modal database applications operating on structured (tables, feature vectors, etc.) and unstructured data (videos, podcasts, pdf, etc.) with deep learning models. EVA comes with a wide range of models for analyzing unstructured data, including models for object detection, OCR, text summarization, audio speech recognition, and more. The key feature of EVA is its AI-centric query optimizer. This optimizer is designed to speed up AI-powered applications using a collection of optimizations inspired by relational database systems. Two of the most important optimizations are: + Caching: EVA automatically reuses previous query results (e.g., inference results), eliminating redundant computation and saving you money on inference. + Predicate Reordering: EVA optimizes the order in which query predicates are evaluated (e.g., running faster, more selective deep learning models first), leading to faster queries. Besides saving money spent on inference, EVA also makes it easier to write SQL queries to set up multi-modal AI pipelines. With EVA, you can quickly integrate your AI models into the database system and seamlessly query structured and unstructured data. We are constantly working on improving EVA and would love to hear your feedback! https://ift.tt/RX1ytfz April 30, 2023 at 12:52PM
Show HN: ArchitectGPT – AI Powered Home Design Too https://ift.tt/Svfd1CH
Show HN: ArchitectGPT – AI Powered Home Design Too Hello everyone, I'm excited to share with you my new app, ArchitectGPT! With ArchitectGPT, you can upload or take pictures of any residence/home and transform it using AI via text or pre-selected themes. Whether you want to experiment with different color schemes, furniture arrangements, or even add new rooms to your home, ArchitectGPT can help you visualize the possibilities in seconds. The app uses state-of-the-art machine learning algorithms to generate realistic and personalized design recommendations based on your preferences and needs. ArchitectGPT is perfect for anyone who wants to explore home design ideas without the hassle and cost of hiring a professional designer. It's also great for architects, interior designers, and real estate agents who want to quickly create virtual staging for their clients. The app is easy to use and doesn't require any design skills. Simply upload a photo of your home, select a theme or provide a description of what you want to achieve, and let ArchitectGPT do the rest. You can save your favorite designs and share them with your friends and family. https://ift.tt/x8mE3pF April 29, 2023 at 05:54PM
Saturday, April 29, 2023
Show HN: Open-Source Implementation of John Conway's Mathy Game of Hackenbush https://ift.tt/HfWJxEN
Show HN: Open-Source Implementation of John Conway's Mathy Game of Hackenbush Hackenbush is a fascinating game that led to leaping developments in combinatorial game theory. It caused the discovery of the surreal numbers - an absolutely, incredibly, tremendously large field of numbers. To help it find more popularity, I made an open-source version, mainly for mobile platforms. https://ift.tt/JabSXjF April 30, 2023 at 02:11AM
Show HN: ChatGPT on Your Watch https://ift.tt/KZferwi
Show HN: ChatGPT on Your Watch https://ift.tt/yDztSmX April 29, 2023 at 01:51PM
Show HN: PineTool – An iOS Companion for the Pinecil https://ift.tt/zQscuBn
Show HN: PineTool – An iOS Companion for the Pinecil https://ift.tt/9iDcv8e April 29, 2023 at 08:17PM
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