# Analyze mobile app build-time hotspots with Gradle: n8n workflow

> Started by another system calling it, and works across Airtable, GitHub and Gmail. It puts OpenAI behind a retrieval step, so answers are drawn from...

Source: https://millionrounds.com/workflow/analyze-mobile-app-build-time-hotspots-with-gradle (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Data collection](https://millionrounds.com/workflows?category=Data+collection#library)

# Analyze mobile app build-time hotspots with Gradle

Started by another system calling it, and works across Airtable, GitHub and Gmail. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 15 steps, 1 branch: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fanalyze-mobile-app-build-time-hotspots-with-gradle)

**15 steps** Medium: a working afternoon

**1** Branch: places the flow splits

**0** Loops or waits

**3** Services it connects to

## The flow

Starts it 1 Model 4 Logic 4 Service 6

The steps in the order they run, from what starts it.

- 1 **Webhook** Webhook *Starts it*
- 2 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 3 **Structured Output Parser** Output Parser Structured *Model*
- 4 **GitHub API Tool** Http Request Tool *Service*
- 5 **Build Context Memory** Memory Buffer Window *Model*
- 6 **Set Configuration** Set *Logic*
- 7 **AI Build Analyzer** Agent *Model*
- 8 **Fetch Historical Builds** Airtable *Service*
- 9 **Prepare AI Input** Set *Logic*
- 10 **Switch** Switch *Logic*
- 11 **Aggregate Historical Data** Aggregate *Logic*
- 12 **Compare with Historical Builds** Compare Datasets *Service*
- 13 **Store Build Data** Airtable *Service*
- 14 **Comment on PR** Github *Service*
- 15 **Notify Email** Gmail *Service*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 15, with 1 branch
- **Size:** Medium: a working afternoon
- **Connects to:** Airtable, GitHub, Gmail
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own Airtable, GitHub and Gmail accounts, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 15 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 15 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fanalyze-mobile-app-build-time-hotspots-with-gradle)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[Airtable](https://millionrounds.com/workflows?service=Airtable#library)[GitHub](https://millionrounds.com/workflows?service=GitHub#library)[Gmail](https://millionrounds.com/workflows?service=Gmail#library)

## Workflows like it

Also data collection, with the same services where possible, closest in size first.

- [**Analyze YouTube comments with OpenAI and Google Sheets** 15 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/analyze-youtube-comments-with-openai-and-google-sheets)
- [**Audit landing page conversion with OpenAI and Gmail** 15 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/audit-landing-page-conversion-with-openai-and-gmail)
- [**Automate employee onboarding** 15 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/automate-employee-onboarding)
- [**Automatic Gmail unsubscribe detection with Google Sheets** 15 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/automatic-gmail-unsubscribe-detection-with-google-sheets)
- [**Collect & analyze reviews with Decodo** 15 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/collect-and-analyze-reviews-with-decodo)
- [**Draft and review Google review reply emails with Gmail** 15 steps · calls a model · Gmail, Google Sheets](https://millionrounds.com/workflow/draft-and-review-google-review-reply-emails-with-gmail)