RhetorAI

RhetorAI

Rhetorai is an AI tool that conducts user interviews to help companies achieve product-market fit faster. It allows for 24/7 availability and provides valuable insights like an AI product researcher. The tool can conduct hundreds of interviews a day and store transcripts for easy access. Rhetorai goes beyond surveys to help with tasks such as prioritizing features, getting design feedback, and understanding user journeys.

Try RhetorAI

Related Tools

DataLang

DataLang

Datalang is a powerful tool that allows you to query databases using natural language. It simplifies the process by allowing you to ask questions like you would to a person, and then fetching and translating the answers for you. To get started, you simply need to set up a data source and configure the connection string. Then, you can ask questions such as "how many users?" or "what is the MRR?" and datalang will use GPT-3 to generate a natural language answer.One of the main features of datalang is its simplicity, as it doesn't require extensive technical knowledge to use. It also ensures the security of your data, encrypting the connection string and credentials and only decrypting them when necessary for data operations. There is also an API available to manage data sources and ask questions.The tool can handle a wide range of questions, similar to those you would ask a data analyst. It can provide insights on metrics such as the number of users during a specific time frame or common values in a certain field. Additionally, it can be integrated with other tools through its API.

Tethered AI

Tethered AI

Tether AI is an AI-powered search tool that utilizes the capabilities of OpenAI GPT-3 to provide advanced search functionalities. Users can search the web, take and edit notes all within the platform.

Natural Language Playlist

Natural Language Playlist

The Natural Language Playlist tool is an AI-based music recommendation system that generates playlists based on user queries related to song lyrics, specific genres, and themes. The beta version 2.0 of the tool is created by Abelardo Rioja, a 23-year-old data science graduate student, who aims to simplify the process of discovering new music and make it more exciting. The tool allows users to describe and personalize their playlist using multiple sentences and adjectives to highlight desired music features, such as danceability, positivity, high energy, and fast tempo. The creator leverages complex language models to transform words into intelligible music recommendations, hoping to widen listeners' music horizons and enrich their relationships with music.