Hi Everyone,
Coming up with content ideas is often the hardest part of creating videos.
Many creators spend hours thinking about what to post next. But there is actually a huge source of ideas that many people overlook: Reddit.
Every day, people ask questions, share experiences, and discuss real problems in different communities. These conversations reveal exactly what people care about in a specific niche.
So I experimented with a simple idea:
What if we could collect these discussions, turn them into video content, and publish them automatically?
Using Make, I built a workflow that helps do exactly that.
The idea behind the automation
## The goal of the automation is simple:
1. Find interesting discussions in a subreddit
2. Organize them into structured question–answer content
3. Turn them into short video scripts
4. Generate videos and publish them to Instagram
Instead of guessing content ideas, the workflow uses real conversations from Reddit.
Part 1: Collecting questions from Reddit
The first scenario focuses on gathering useful content.
The workflow starts with a Google Sheet, which acts as a small content database.
In the sheet, I simply add a niche topic like:
* B2B Sales
* E-commerce
* AI automation
* Marketing
The scenario then runs and does the following:
1. Reads the niche from the Google Sheet
2. Finds related posts in the corresponding subreddit
3. Collects the most active discussions
4. Extracts questions and comments from those threads
To capture deeper discussion data, a Reddit scraping service is used to gather the question and all replies.
# Turning discussions into structured content
Once the data is collected, the automation analyzes the conversation.
Instead of generating new answers, the system analyzes existing replies and selects the most relevant insights from the discussion.
The output becomes a clean question + summarized answer pair.
Example format stored in the sheet:
Question:
Where is the role of SDRs heading as AI tools become more common?
Answer:
Many companies are experimenting with AI for outreach and lead qualification, but human SDRs still play an important role in personalization and relationship building.
The automation saves multiple Q&A pairs into the Google Sheet.
At this stage, everything is ready for review.
# Human approval before publishing
Before creating videos, I added a simple control step.
Each row in the sheet has an “Approved” column.
This allows someone to quickly review the generated content and decide which topic should move forward.
Once a row is approved, the second scenario starts.
This keeps the system controlled while still saving a lot of research time.
# Part 2: Turning discussions into videos
The second automation handles script and video creation.
After approval, the workflow:
- Generates a short video script
- Creates captions and hashtags
- Builds a video
- Publishes it to Instagram
Interestingly, the workflow can produce two different video styles.
## Video type 1: Animated visual videos
The first route creates an animated video.
The process looks like this:
- A script is generated in a structured JSON format
- Each section becomes a scene in the video
- Background music and visuals are added
- The video is rendered in vertical format for Instagram
Once finished, the file is uploaded directly as an Instagram Reel.
## Video type 2: Avatar-style explainer video
The second route creates a different style of content.
Instead of animated scenes, it generates an avatar video where a digital presenter explains the topic.
The workflow:
1. Converts the Q&A into a short explainer script
- Generates a speaking avatar video
- Waits for rendering to finish
- Converts the file format if needed
- Publishes it to Instagram automatically
This creates a second variation of the same content topic.
# Why this approach works well
Instead of guessing topics, the system is based on real questions from real communities.
That means the content is already validated by people discussing those issues.
It also saves a lot of time because the workflow handles:
* Research
* Structuring information
* Script generation
* Video production
* Publishing
All you really need to do is review and approve the topics you want to turn into content.
With regards,