Moddeq

Main Dashboard
Cluster Group
ModRadar
Filtration System
Card Mode
Keyboard Shortcut
Community Memory
Example

Inspiration:

The main inspiration for Moddeq came from my own experience as a Reddit moderator. Moderating through the native Reddit UI often felt frustrating, endless clicks, constant context-switching, and slow workflows made even simple moderation tasks exhausting.

At one point, I thought: “I’ll do it myself.”

Then I came across the Devvit Hackathon announcement on Reddit, and it felt like the perfect opportunity to finally build the tool I always wanted.

I only started development on May 19th, so this project represents the absolute best I could build in a single week.

What It Does:

Moddeq (formerly ModUI)

Moddeq is a high-speed moderation workspace designed to help Reddit moderators work faster, smarter, and more efficiently. It fundamentally rethinks the moderation workflow through several core systems.

It have lot of mini features, that improve day to day moderation, but since this is hackathon, I'll enter cool named feature only, obviously who gonna listen that I have auto refresh which Reddit don't!

ModRadar — Priority Engine

Instead of relying on a simple chronological moderation queue, ModRadar intelligently surfaces the items that require attention first using multiple moderation signals such as:

• Report spikes • Newly created accounts • Repeat offenders

Importantly, this is not a black-box AI system.

Moderators can clearly see why an item was prioritized, creating transparency and trust rather than opaque automated decisions.

Cluster Moderation

Moderation problems often arrive in waves.

Moddeq groups similar or repeated content, such as spam domains, repost attacks, or bot floods, so moderators can review patterns and take action efficiently instead of deleting 50 nearly identical comments one by one.

Flow Mode

Flow Mode is built to keep moderators moving without interruption.

As soon as an action is taken, the next important item appears instantly:

• No page reloads • No extra tabs • No workflow interruptions

The goal is to create a fast, focused moderation experience.

Inline Context

All important moderation context is embedded directly into the review card, including:

• User history • Account age • Karma • Past removals

This dramatically reduces context-switching and speeds up moderation decisions.

How I Built It:

Moddeq is built on the Reddit Devvit platform using a client/server architecture.

Frontend

• Custom React-based webview • Optimized for speed and responsiveness

Backend

• Devvit triggers • Reddit API integrations • Redis for state management

The prioritization and clustering systems are handled server-side using deterministic heuristics and pattern-matching techniques such as:

• Levenshtein distance for text similarity • Rule-based scoring systems

This approach avoids relying on slow and expensive LLM-based moderation pipelines while remaining explainable and efficient.

Challenges I Ran Into:

I am limited by technology of my time as the biggest challenge was balancing ambitious ideas against the limitations of the current Devvit platform and APIs.

Another major challenge was time.

Building a fluid and complex moderation interface with:

• Priority logic • Clustering systems • Real-time workflow interactions

—all within a single week starting May 19th, was an intense sprint.

Important Note:

Because Moddeq is fundamentally a moderator tool, moderation actions require actual moderator permissions.

Public users and judges can explore the public demo post, but real moderation actions are intentionally restricted by design for security and platform integrity reasons.

I genuinely tried to create a system where judges could freely test moderation actions through open WebApp access, but platform constraints prevented me from safely exposing those permissions.

Accomplishments We’re Proud Of:

I’m incredibly proud of building a system that shifts the paradigm from:

“Cloud AI moderators”

to:

“Smart tools that augment moderators.”

The fully explainable ModRadar prioritization system, along with the foundation for Community Memory, which may later evolve using local AI models, is something I consider a huge win for moderator trust and usability.

What I Learned:

This project taught me a lot about the Devvit architecture, a platform I had never even heard of before this hackathon.

I also learned something important about moderation tools themselves:

UI design is HARD.

A lot of people say frontend development is “nothing compared to backend,” but this project taught me the exact opposite. Creating fast, intuitive, and low-friction workflows is incredibly difficult and deeply important.

Finally, I learned that while I had many bigger ideas, such as:

• Local AI for community prediction • Advanced Toolbox-like moderation systems

—building a strong MVP in a one-week sprint requires ruthless focus on the core workflow above everything else.