Turn Claude and (soon) ChatGPT into your everything app

Build your own ...

ChatGPT, Rotten Tomatoes, Yelp, LinkedIn, and more for your community or Project Manager, Issue Tracker, Meeting Planner, Archives, and Paste Board, and more for your team.

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ChatGPT

A ChatGPT for your team or community's data that reflects your own beliefs, preferences, and goals.

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Rotten Tomatoes

Share movie, television, and other media reviews with your community. Science fiction fans, religious communities, retirees, college students, etc. Everyone has different tastes. You can now build a platform that reflects these differences.

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Yelp

Crowdsource reviews tailored to your community's preferences. Whether football fans searching for a bite near stadiums or ballet-goers planning a post-show dinner, each group can create its own space to discover the perfect spot.

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Build a professional networking, skill finder, and/or jobs board platform for your own community.

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Google

Crowdsource a search engine together with your community that's based on your own interests , views, and favorite information sources.

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Project Manager

for your team that reflects how you want to work.

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Issue Tracker

for tracking bugs and assigning tasks to your dev team.

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Meeting Planner

for organizing meetings and tracking relevant topics.

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Paste Board

for sharing code snippets with your team.

Dry lets anyone turn ideas to working software

Developers: create custom data ontologies, build MCP servers with no code
Creators: build a Chat GPT for your articles or portfolio, create mood boards, organize materials
Students: chat with documents, take notes, generate citations, create AI study tools
Energy: nuclear component tracking and compliance management, track your inventory
Organizations: build event spaces, create an RSVP app, create an FAQ, build an org chart
Teams: manage tasks, track bugs, encrypt notes, give your documentation a chat interface

Our Vision View Showcase open_in_new

The missing link in AI's evolution

AI assistants (like Claude, ChatGPT, Gemini and Grok) will eventually become your own hyper-customized everything app. We use the Dry Abstraction to speedrun this evolution.

Structured data

Today, AI assistants use "projects" to let you store and work with databases of text documents. Dry lets you use structured data of any type, not just text.

Make your own data types

Dry lets you define your own custom data types. With a simple UI (and no coding) you can list a type's fields, specify what they mean, and much more. The types drive the user interface, data security, and chat's ability to be more useful in understanding the relationships between items in your data.

Graphical user interface

Sometimes words are not enough. Charts, maps, calendars, forms, lists, and other interface elements can be more effective than natural language chat alone in many cases. That's why Dry automatically generates a graphical user interface for your information. You can easily customize the interface, without coding.

Collaborate, share, publish.

Dry lets you invite people to smartspaces to share your data. You have total control over who can view or edit any field on any type of item. This gives you the power to use Dry for publishing, online communities, team collaboration, or totally individual and private work.

Enabled by Model-Context Protocol (MCP)

You don’t need to understand MCP to use Dry, but in nerdspeak: Dry is an MCP server that can work with any MCP client. Some versions of Claude and ChatGPT are MCP clients and most other major AI assistatns are likely to be soon. Dry uses the types you define to create MCP tool and resource code that enables any MCP client to use data in Dry.

Who uses it

A wide range of people are using Dry, from individuals and influencers to extremely large organizations.

Individuals

Use Dry to track your diet and fitness trackers, keep a todo list, keep a journal, track car and home maintenance, organize personal records, and generally make your life richer and simpler.

Authors, students, creators

Make a custom ChatGPT for your articles or portfolio, a link tree, a profile that shows off your best self, a chat-enabled research archive, and much more.

Friends & family

Plan trips, schedule trips, organize your wedding, share phots, organize potlocks, coordinate events, run a dinner club, and much more.

Teams

Manage projects, track issues, make a team knowledge base, seamlessly integrate recruting/interviewing/hiring, track KPIs, and much more.

Online communities

Build custom ChatGPTs that reflect your views and knowledge, crowdsource recommendatins and reviews (of movies, books, restaurants, anything) based hyper-niche tastes, build a custom LinkedIn/Facebook/Twitter/Eventbrite/etc. for you community, and much more.

Manufacturing, energy, defense

Human dynamism is held back by monolithic and poorly-customized software organization have to use. With Dry you will be able to use AI assistants will be able to replace all that with some very simple, powerful, and optimized to your specific needs. Build a maintenance tracking database for nuclear reactor components, automate brief preparation, manage contracts, streamline operations, and much more.

How it’s different

What makes building on Dry different from existing solutions?

Not code generation.

AI-code generation tools are extremely important and can make software engineers more productive. However, even with these tools, you still need a lot of engineering resources to build useful software. Many important projects never happen because they don't have that. Dry lets you build what you need in minutes or hours, with zero coding.

The “it actually works” vibe.

"Vibe coding" tools generate something that superficially looks like what you want, but the result usually doesn't work how you want, and it isn't secure. You need to do a lot of coding to get it to actually work.

The scaffolding AI needs.

Software is driven largely by the structure of data the software tracks. This is called an "ontology". It drives most aspects of software: security, business logic, graphical user interface, and much more. This is missing in vibe coding and code-generation tools. Dry provides this structure.

Not another no-code tool.

Dry is based on a novel database technology that is key to its powers. In nerdspeak: it's a typed graph database with text search, folders, object-category duality (OCD), nested data, and granular role-based permissions. You don't need to know about any of this to use Dry, but it's a major reason Dry bridges the gap between the software you need and what no-code tools can produce.

The scaffolding AI needs

Software is driven largely by the structure of data the software tracks. This structure drives most aspects of software: security, business logic, graphical user interface, and much more. This is missing in vibe coding and code-generation tools. Dry provides this structure.

It's not code generation

AI-code generation tools are extremely important and can make software engineers much more productive. However, even with these tools, you still need a lot of engineering resources to build useful software. Many important projects never happen because they don't have that. Dry lets you build what you need in minutes or hours, with zero coding.

The “it actually works” vibe

"Vibe coding" tools generate something that superficially looks like what you want, but the result usually doesn't work well and it isn't secure. You need to do a lot of coding to get it to actually be useful.

Enabling Technology

Dry is based on a novel database technology that is key to its powers. In nerdspeak. Dry has a typed graph database with text search, folders, object-category duality (OCD), nested data, and granular role-based permissions. It automaticaly generates MCP tools from type descriptions. You don't need to know about any of this to use Dry, but it's a major reason Dry bridges the gap between the software you need and what no-code tools can produce.