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AI-powered
Reflectr AI Journal & Notebook is an AI-powered platform that helps users declutter their mind through journaling and note-taking. It provides a private space for individuals to freely express their thoughts and offers AI-based writing styles to enhance the content. Users can receive instant feedback through AI-generated tags, comments, mood indicators, and emojis. The platform also offers daily affirmations, motivational quotes, and writing tips to inspire users. AI-generated recaps and mood indicators help users stay on track and review their progress.28 Apr 2023Readmore -
AI Chatbot
ASKWay is an AI-powered Android app that serves as a chatbot and assistant. It allows users to create their unique AI companion, customize its appearance and personality, and interact with it in various ways. Powered by ChatGPT & GPT-4, ASKWay provides an immersive AI experience and encourages creative exploration through interactive role-play and workshops.09 Jan 2024Readmore -
Foot traffic measurement
Measure foot traffic with your Android phone. Simple, efficient, and free. Upgrade your business insights today!09 Jan 2024Readmore -
AI Assistant
07 Apr 2024Readmore -
Screen lock
Agent Lock is a personalized screen lock app that allows you to customize your lock screen with your chosen name, icon, and locking sound. It offers a unique and personalized screen lock experience tailored to your style and preferences.25 Jan 2024Readmore -
Question and answer
Poe is an app that allows users to get instant answers and have back-and-forth conversations by asking questions.26 May 2023Readmore -
3D scanning
20 Feb 2024Readmore -
AI
Vecy is an Android AI app that allows users to chat with fully-private LLMs and local files (documents, photos). It automatically processes and indexes local files on the phone, and users can also directly upload files. Vecy offers RAG tools for processing local files to enhance LLM responses. Users can select from a range of small LLMs (from 0.5B to 3.5B parameters) and engage in conversations with documents stored locally. The app automatically processes files (PDFs, DOCX documents, images, etc.) within the Documents, Download, and DCIM directories to generate embedding vectors, which are stored locally on the device. These embedding vectors are crucial for RAG (retrieval-augmented generation) capabilities, enhancing the LLM's ability to provide more accurate and relevant responses when queries are related to the local files.24 Mar 2025Readmore