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Bitbucket to Reddit Icon

Bitbucket Commits to Reddit Ads

Build an automation that monitors your Bitbucket repository, extracts insights from commits, and generates 5 authentic Reddit posts for founder communities. Turn your development progress into marketing content automatically.

22 min readAdvancedDecember 26, 2025
Bitbucket to Reddit Ads Workflow
5
Reddit Posts Per Run
~30s
Generation Time

Pure Flow Architecture

No App UI - Just the Flow

Unlike the other tutorials, this automation is a pure backend flow. No user interface needed - you can schedule it to run daily, trigger it via API, or run it manually. Results are saved to a dataset that you can view anytime.

Perfect for:
  • • Scheduled daily/weekly runs
  • • Webhook triggers from Bitbucket
  • • Batch content generation
  • • API integrations
View results:
  • • Click on the dataset in the flow
  • • Review all 5 generated posts
  • • Copy to post manually
  • • Or integrate with Reddit API

Why Turn Commits into Reddit Posts?

For Solo Founders
  • • Share progress authentically
  • • Build in public effortlessly
  • • Turn work into social proof
  • • Stay consistent on Reddit
For Marketing Teams
  • • Automate feature announcements
  • • Show continuous improvement
  • • Generate engagement content
  • • Scale Reddit presence
Technical → Human
  • • AI translates tech to benefits
  • • Founder-friendly tone
  • • Emotional, not robotic
  • • Conversation starters included
Learning from Examples
  • • Uses dataset of good Reddit posts
  • • Learns tone and structure
  • • Adapts to community norms
  • • Generates multiple variations

The Complete Flow

This flow uses two-stage AI processing: first it reshapes your commits into digestible insights, then generates authentic Reddit posts using examples as training data.

Complete Flow (Left to Right, Top to Bottom)

Data Sources
API Input
Bitbucket Get Commits
Last 2 commits
AI Processing Pipeline
Reshape Prompt
Summarize commits
+
Dataset (Read)
Array Flatten
Reddit Posts Prompt
Generate 5 posts
Storage & Output
Iterator
Dataset (Write)
Save 5 posts
API Output

Breaking Down Each Node

Bitbucket Get Commits
Settings:
Workspace: your-workspace
Repository: your-repo
Branch: master
Limit: 2 commits
Max files: 5
What it does:

Fetches the last 2 commits from your Bitbucket repo, including commit messages and changed file contents.

What you get:
  • • Commit messages and timestamps
  • • Author information
  • • Changed file paths
  • • Full file contents (up to 5 files)
Why 2 commits:

Recent context without overwhelming the AI. Perfect for weekly/daily updates.

AI Prompt
Reshape Commits
Model: GPT-4.1
Temp: 0.5
Max tokens: 4000
What it does:

Transforms technical commit data into human-readable insights. Extracts user-facing value from code changes.

Input:
  • • Commit messages
  • • Changed file contents
Output (structured JSON):
{ "summary": "Brief overview of changes", "key_points": [ "User benefit 1", "User benefit 2" ], "examples": [ "Concrete example 1", "Concrete example 2" ] }
Why this matters:

The final Reddit posts need non-technical language. This prompt creates a bridge between code and marketing.

Dataset Source
Positive Reddit Examples
Array Flatten
Combines examples
What they do:

Load a dataset of high-performing Reddit posts and flatten into a single array. These serve as training examples for tone and structure.

Why examples matter:
  • • AI learns authentic founder voice
  • • Understands Reddit conventions
  • • Avoids marketing speak
  • • Generates community-appropriate tone
Dataset structure:
Each example contains: title, body, subreddit. Typically 8-10 curated examples with high engagement.
AI Prompt
Craft Reddit Posts
Model: GPT-4.1
Temp: 0.7
Max tokens: 8000
Output: 5 posts
What it does:

The content generation engine. Creates 5 authentic, personal Reddit posts for different subreddits using the reshaped commits and example posts.

Input:
• Commit summary
• Key points
• Examples
• Reddit examples
Per Post:
• Subreddit name
• Title
• Body
• 2-4 conversation prompts
• 2-3 alt title variations
Key instructions:
✓ Personal, honest tone
✓ Show emotions (relief, anxiety)
✓ Small wins matter
✓ Short paragraphs
✗ No marketing speak
✗ Not too polished
✗ Avoid technical jargon
✗ Don't sound like AI
Solo founder voice: Posts reflect real emotions and progress, not corporate announcements. Include conversation starters to invite engagement.
Iterator
Loops through 5 posts
Dataset (Write)
Reddit Post Candidates
Saves all 5 posts
What they do:

Iterator processes each of the 5 posts. Dataset stores them with full metadata for review.

Schema:
{ "subreddit": "r/SideProject", "title": "Main title option", "body": "Full post body text", "conversation_prompts": [ "Question 1?", "Question 2?" ], "alt_variations": [ "Alt title 1", "Alt title 2" ] }
Viewing results:
  • • Open the dataset node in your flow
  • • Review all 5 posts with variations
  • • Copy your favorites to post
  • • History persists across runs
Flow Summary

Bitbucket (2 commits) → Reshape (extract insights) + Dataset (examples) → Reddit Posts (generate 5) → Iterator → Dataset (save) → API Output

Time: ~30s
Two-stage AI processing
Output: 5 posts
With title variations

Deployment & Usage

Schedule Weekly Runs

Automate your Reddit presence

  • • Run every Monday morning
  • • Review 5 new posts
  • • Post 2-3 throughout the week
  • • Stay consistent effortlessly

Webhook Trigger

Generate posts on every push

  • • Connect Bitbucket webhook
  • • Trigger flow on commit
  • • Auto-generate content
  • • Review and post

Use Cases

Solo Founders:
  • • Build in public content
  • • Share progress updates
  • • Stay accountable
  • • Engage communities
SaaS Teams:
  • • Feature announcements
  • • Bug fix highlights
  • • Performance improvements
  • • Technical credibility
Open Source:
  • • Contributor highlights
  • • Version releases
  • • Community updates
  • • Growth stories

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