What are the limitations of Hunch?

SOC2 Type 1 certification is still in progress, which may block regulated or enterprise buyers. No public pricing detail on the homepage, so budget planning needs a sales conversation. Model choice depends on third-party providers, meaning quality and rate limits shift with them.

Hunch

Name: Hunch
Author: Hunch

A visual workspace where teams chain top AI models into reusable tools.

Intermediate

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Screenshot of Hunch, A visual workspace where teams chain top AI models into reusable tools

What is Hunch?

Hunch is a canvas-based workspace that connects blocks of rich text to multiple AI models (OpenAI, Anthropic, Gemini, Mistral, Groq, ElevenLabs), with batch runs, web scraping, Python and Bash execution, templates and shareable team tools.

Hunch is a browser-based workspace built around a visual canvas rather than a chat window. Work is organized into blocks, and each block is a rich text document that can also call an AI model. You connect blocks so the output of one feeds the next, which turns a multi-step job into a repeatable pipeline instead of a string of one-off prompts. The model layer is deliberately open. Hunch routes requests to OpenAI, Anthropic, Gemini, Mistral AI, Groq and ElevenLabs, so writing, coding, illustration, audio transcription and speech synthesis can all happen inside the same project. Users pick a model for each task or let the Auto AI option choose on their behalf. On top of that sit heavier features: batch processing to run thousands of tasks in parallel, web scraping to pull data from a page, and a Python and Bash runner for data processing or connecting to outside services. The intended audience is teams rather than solo prompt tinkerers. Hunch positions itself for writing and content, marketing and sales, product management, software development and analysis and research, with dozens of templates covering blog posts, technical writing, video scripts, newsletters, fiction and meeting follow-ups. A template library is open without signing in, so a newcomer can inspect the structure of a workflow before committing. Finished work can be shared as an easy-to-use tool so colleagues who never touched the canvas can run it. Against plain chatbots, the difference is persistence and structure: reusable workflows, shared tooling and multi-model routing in one place. Against low-code automation platforms, Hunch leans on documents and a canvas, so the end product reads like work rather than a flowchart. Buyers should note that SOC2 Type 1 is still in progress, and that model access is only as good as the keys and limits behind it.

How do you use Hunch?

1Open the workspace
Go to the Hunch site and choose the free entry point to reach the app. No credit card detail is advertised on the homepage for the free tier.
2Browse the template library
Before building anything, scan the library of tools and templates. Each entry shows the structure of a workflow, which is the fastest way to learn how blocks connect.
3Start from a template or a blank canvas
Pick a template that matches the job, such as summarizing a YouTube video or extracting actions from a call, or open a blank canvas and add your first block.
4Assign a model to each block
For every block that needs AI, choose a specific provider or leave it on Auto AI. Match the model to the task: writing, coding, transcription or speech.
5Chain blocks and run in batch
Connect block outputs to the next block's input, then use batch mode when the same workflow needs to run across many items. Add a code block if the data needs cleaning.
6Share the workflow as a tool
Once the pipeline works, publish it as a shareable tool so teammates can run it without rebuilding the canvas themselves.

Pros and cons

Pros

Routes tasks across OpenAI, Anthropic, Gemini, Mistral, Groq and ElevenLabs from one workspaceAI
Block canvas makes multi-step AI workflows reusable and easy to inspectAI
Batch feature runs thousands of AI tasks in parallel for bulk jobsAI
Web scraping and Python or Bash execution cover data gathering and processing without leaving the toolAI
Templates are browsable without signing in and finished workflows can be shared as tools for teammatesAI

Cons

SOC2 Type 1 certification is still in progress, which may block regulated or enterprise buyersAI
No public pricing detail on the homepage, so budget planning needs a sales conversationAI
Model choice depends on third-party providers, meaning quality and rate limits shift with themAI
The canvas plus blocks model has a learning curve for people used to single-prompt chat toolsAI
No native mobile apps are advertised, so work is effectively tied to a browserAI

How much does Hunch cost?

Free trial

The homepage offers a free entry point to the app. No time limit or trial terms are stated, and paid plan details are not published on the site.

Learn more

Support

Support runs through a public Discord community and the documentation site. No email or ticketing channel is listed on the homepage.

Learn more

Integrations

The homepage names OpenAI, Anthropic, Gemini, Mistral AI, Groq and ElevenLabs as available model providers, and notes that Python and Bash can be used for external integrations.

Features

Visual canvas of rich text blocks, each able to call an AI model. Model routing across OpenAI, Anthropic, Gemini, Mistral AI, Groq and ElevenLabs, with an Auto AI option. Batch processing for thousands of parallel tasks, web scraping, and a Python and Bash runner. Dozens of templates and the ability to share workflows as reusable tools for a team.

Frequently asked questions about Hunch

Does Hunch offer a free trial?
The homepage offers a free entry point to the app. No time limit or trial terms are stated, and paid plan details are not published on the site.
How do you use Hunch?
The walkthrough on this page covers 6 steps: 1. Open the workspace 2. Browse the template library 3. Start from a template or a blank canvas 4. Assign a model to each block 5. Chain blocks and run in batch 6. Share the workflow as a tool.
What platforms does Hunch support?
Hunch is available on Web App.
What does Hunch integrate with?
The homepage names OpenAI, Anthropic, Gemini, Mistral AI, Groq and ElevenLabs as available model providers, and notes that Python and Bash can be used for external integrations.
What are the limitations of Hunch?
SOC2 Type 1 certification is still in progress, which may block regulated or enterprise buyers. No public pricing detail on the homepage, so budget planning needs a sales conversation. Model choice depends on third-party providers, meaning quality and rate limits shift with them.