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Build and deploy AI workflows visually

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April 27, 2025

Dashboard Edit AI

Waveloomv1

Workflows

35,374

4.5(11)2

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Inputs:

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Llama 3.2ChatGPT v4.5DeepSeek v2.5DeepSeek V3Gemini 2.0 Flash Thinking ExperimentalGemini 2.0o1Sonnet 3.5Llama 3.1 (405B)o1-minio1-previewGPT-4o MiniGPT-4oGemma 1CoderLLMGPT-4 TurboMistral Large Flux.1 SchnellFlux.1 DevFlux.1 ProStable Diffusion 3

Agent API

Build and deploy AI workflows visually

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Overview Discussion 2

26,506 www.waveloom.dev

Overview

Waveloom is an AI Workflow Builder designed to streamline the orchestration of AI services. It provides a visual interface for creating complex AI workflows, connecting popular models like GPT-4, Claude, and DALL-E, without writing any infrastructure code.

The tool is comprehensive, including features such as web scraping, data transformation, generation and analysis of various content types (image, video, voice), storage, database management, and orchestration.

It also offers a single SDK for accessing various AI services, allowing users to focus on building their applications instead of handling infrastructure.

With a real-time monitoring dashboard, users can observe their workflows, troubleshoot issues, optimise performance, and manage costs more effectively.

Also, Waveloom's visual builder simplifies the creation of intricate AI workflows, requiring no deep AI expertise. This platform aims to provide end-to-end orchestration, amalgamating AI models, data storage, and monitoring into one unified platform.

Founding members are offered benefits such as lifetime access with a discount, priority support, early access to new features, and influence over the product's roadmap.

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Waveloomv1

Waveloomv0.1.0

WaveloomInitial

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Waveloom v1

Apr 27, 2025

Tiago

wrote:

We’ve completely rebuilt Waveloom! New website, new platform - built from the ground up with a focus on performance and usability:

- Streamlined UI with intuitive Flow creation
- New Flow Forking feature for creating modular, reusable workflows
- Seamless data storage system for connecting workflows
- Flexible scheduling options (on-demand, recurring, webhooks)
- One-time payment model with lifetime credits
- Support for all major AI models (GPT-4.1, Claude 3.7, Luma, etc.)
- Multi-modal capabilities for text, image, audio, and video
- Enhanced templates for quick workflow creation

Waveloom v0.1.0

Feb 2, 2025

Tiago

wrote:

Early Access Launch: Build AI agents visually - Try free with 5 credits

💎 Product Features:

- Waves: Full visual workflow builder for complex AI automations (Beta)
- Ripples: Quick, focused tools for chat stream

🎯 Early Access Offer:

- Try free with 5 credits
- Then $9.90/month includes 50 credits
- 80% off Premium AI models (GPT-4o, Claude)

🛠 Current Features:

- Live chat streaming
- Multi-model support
- Visual workflow builder
- Natural language workflow builder
- Infrastructure included
- REST API

🔜 Coming Soon:

- Ripples: Image and audio generation real-time tools
- Waves: More AI nodes and integrations
- Waves: Templates
- SDK (TypeScript)

Initial release

December 10, 2024

Tiago

wrote:

Initial release of Waveloom.

Tiago

@tiago-18

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Comments(2)

Jenny Stanley

🙏 4 karma

Apr 24, 2025

@v0.1.0

Rated it

@Waveloom

Super easy, nice design and lots of exciting things in the pipeline it seems too!

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Ameya Joshi

🙏 96 karma

Feb 2, 2025

@v0.1.0

Rated it

@Waveloom

Looks like an interesting project with complete focus on ease of use and no-code environment! 🤩 #NoCode #Project #Software #Development #EaseOfUse

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Pros and Cons

Pros

No infrastructure code required

In-built web scraping

Real-time monitoring dashboard

Cost and performance optimization

Supports GPT-4, Claude, DALL-E models

Comprehensive feature set

Database management

Web scraping facility

Data transformation capability

Content generation and analysis

Storage management

Offers unified platform

Workflow troubleshooting

VIP benefits for founders

Lifetime access with discount

Priority customer support

Early access to features

Influence over product roadmap

End-to-end orchestration

SDK integration

Image, Video, Voice content

Performance and cost management

API Connector provided

Visual orchestration

Real-time control

Cloud services support

Complex workflows with ease

Binding tools with single SDK

Web Scraper feature

View 24 more pros

Cons

Reliant on single SDK

Potential monitoring dashboard glitches

Database management inefficiencies

Performance optimization limitations

Cost management issues

Limited infrastructure tuning options

Limited early access benefits

Limited customer support options

Siloed data storage and orchestration

View 4 more cons

Q&A

What is Waveloom?

Waveloom is a comprehensive tool designed to simplify the orchestration of AI services. It enables users to create intricate AI workflows visually, connecting popular AI models without the need to write any infrastructure code. The capabilities of Waveloom extend beyond this, encompassing features like web scraping, data transformation, generation and analysis of different content types, storage, database management, and orchestration. All of these are unified into a single platform aiming to streamline the workflow, simplify AI application development, and manage cost more effectively.

How does Waveloom streamline AI services orchestration?

Waveloom streamlines AI services orchestration by combining visual workflow building with production-ready infrastructure. Providing users a drag-and-drop interface, they can easily piece together complex AI workflows. Through single SDK integration, users get access to a variety of AI services, eliminating the need to manage multiple APIs, thus simplifying the entire process. It also includes real-time monitoring tools for workflow troubleshooting and performance optimization.

Can Waveloom integrate with popular AI models like GPT-4, Claude, DALL-E?

Definitely, Waveloom can integrate with popular AI models such as GPT-4, Claude, and DALL-E. Its visual interface helps in creating intricate AI workflows that can connect these models without the need for writing infrastructure code.

How does Waveloom's visual interface work?

Waveloom's visual interface presents a drag-and-drop functionality that allows users to visually create and organize AI workflows. It simplifies the process of connecting AI services, transforming data, and deploying complex workflows, all with zero infrastructure code.

Do I need to write any infrastructure code to build AI workflows on Waveloom?

No, you do not need to write any infrastructure code to build AI workflows on Waveloom. The platform's visual builder and drag-and-drop interface were specifically designed to minimize the requirement for coding knowledge, thereby freeing you to focus on application logic and workflow development.

What are the main features of Waveloom?

The main features of Waveloom include a visual AI workflow builder, single SDK integration, integration with popular AI models like GPT-4, Claude, and DALL-E, real-time monitoring dashboard, database management, web scraping, data transformation, generation and analysis of different content types, and cost-management tools. Moreover, the tool provides a unified AI platform for all services, along with advantages for founding members, such as discounted lifetime access and early access to new features.

+ Show 14 more

How does Waveloom assist with web scraping and data transformation?

Waveloom assists with web scraping and data transformation by providing built-in tools within the platform. Users can visually set up and regulate these processes within their workflow. The scraped data can be transformed and modified to fit the requirements of the workflow, all within the Waveloom platform.

How does the real-time monitoring dashboard in Waveloom work?

Waveloom's real-time monitoring dashboard allows users to keep a close watch on their workflows. Users can monitor processes, debug issues, optimize performance, and manage costs from one centralized dashboard. It provides real-time statistics, allowing for immediate troubleshooting and optimizing workflow efficiency.

Do I have to have deep AI expertise to use Waveloom?

No, you do not need to have deep AI expertise to use Waveloom. The platform is designed to offload infrastructure complexity and is equipped with a visual builder that simplifies the creation of complex AI workflows, allowing users to focus on building their applications.

What are the benefits offered to Waveloom founding members?

Waveloom offers a range of benefits to its founding members including lifetime access with a discounted rate, early access to new features, higher priority support, and the opportunity to influence the product's roadmap.

What are the cost management capabilities of Waveloom?

Waveloom provides real-time monitoring tools that allow users to keep tabs on their expenditure. This makes it easy to spot areas of improvement and optimize workflows to ensure cost-effectiveness. Users can manage and control their costs effectively from a single dashboard.

How does Waveloom's unified platform work?

Waveloom's unified platform combines AI workflow orchestration with production-ready infrastructure. The platform integrates major AI models, data storage solutions, monitoring tools, and various AI services into one unified solution, making it easier for users to manage their entire AI stack.

What is the purpose of Waveloom's single SDK?

The purpose of Waveloom's single SDK is to provide access to various AI services. By integrating this single SDK, users can interact with Claude 3.5, GPT-4o, Gemini, Llama, DALL-E, Lora, Flux, Stable Diffusion, Whisper, and more. This simplifies the integration process and allows developers to focus on application building.

How does Waveloom support database management?

Waveloom's platform comes equipped with tools to manage databases as part of its comprehensive service package. Users can connect, manage, and orchestrate their database tasks seamlessly within their AI workflows.

How does Waveloom handle storage?

Waveloom handles storage by providing integrated tools within its platform. These tools enable users to store, access and manage the data produced within the workflows, effectively supporting various data types.

What does 'visual orchestration' in Waveloom mean?

'Visual orchestration' in Waveloom refers to the platform's ability to allow users to build AI workflows through a visual interface. This involves using a drag-and-drop functionality to connect AI services, transform data, and deploy the workflows, eliminating the need to write infrastructure code.

What AI workflows can I create with Waveloom?

Waveloom provides the capability to create a wide variety of AI workflows. Depending on individual user requirements, workflows can involve a multitude of AI models like GPT-4, Claude, DALL-E, and other services like image generation, video analysis, voice synthesis and more. Users can easily chain these services together to tailor unique AI workflows.

Does Waveloom offer any discount for its users?

Yes, Waveloom does offer a discount for its users. Specifically, founding members can enjoy a 20% lifetime discount as part of their membership.

What benefits are there for early access to Waveloom?

Early access to Waveloom comes with several benefits. These include being granted priority supports, influencing the product's roadmap, and gaining early access to new features. This limited-time offer is available to early adopters.

How does Waveloom assist in optimising performance of AI workflows?

Waveloom assists in optimising the performance of AI workflows by providing a real-time monitoring dashboard. This dashboard allows users to observe, debug, and enhance their workflows' performance in real-time. Furthermore, it can identify bottlenecks, reduce redundancies, and maintain optimal workflow efficiency.

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Waveloomv1

Overview