ModusHack Winners Gallery

We challenged the Hashnode community to use their creativity and build the best model-native apps they could imagine using Modus. The results exceeded our expectations and shows how the combo of Modus + Dgraph + Hypermode can be a supercharger for developers.

Open Source Award: Notio

The Problem:

Managing diverse communities often requires content tailored to different languages, reading levels, and preferences. Hashnode articles are limited to a single version, which may:

• Appear too technical or complex for some audiences.
• Lack accessibility for non-English speakers.
• Fail to engage readers with varying preferences.

The Solution:

Notio is a GitHub-based CI pipeline that transforms Hashnode articles using LLMs. It creates multiple versions of the same article, tailored for different audiences, by automating tasks like translation, simplification, question generation, and abstraction.

Key Features:

1. Article Translation: Generates translated versions in any language (supports RTL and LTR).
2. Question Generation: Produces questions (with or without answers) related to the article for enhanced learning.
3. Article Abstraction: Summarizes articles into concise versions.
4. Simplified Articles: Creates reader-friendly versions with simplified content.

Read full story here https://blog.imsadra.me/notio-hashnode-post-publication-llm-toolkit

Best Multi-model App: ArguAI

The Problem:

Engaging with AI often lacks depth and transparency, making it difficult to:

• Understand how AI models reason and make decisions.
• Identify biases and inconsistencies in AI outputs.
• Develop critical thinking and argumentation skills through AI interaction.

The Solution:

ArguAI is a real-time AI debate platform that pits models like GPT-4, Gemini, and Llama against each other in structured, persona-driven debates. It fosters education, exploration, and entertainment by showcasing AI reasoning in action.

Key Features:

1. Dynamic AI Debates:
   • Users select topics, assign personas, and watch AI models debate in real time.
   • Models respond to each other's arguments, creating engaging rebuttals and counterpoints.
2. AI Judge Verdict:
   • After eight rounds, an AI judge evaluates the debate for logical consistency and determines a winner.
3. Technical Backbone:
   • Modus Orchestration: Manages response chaining, persona logic, and API calls.
   • Real-Time Storage: Serverless PostgreSQL on Azure ensures smooth data handling.
   • Versatile AI Models: Supports multiple models (e.g., GPT-4, Gemini, Llama), with plans to add more.
4. Educational Value:
   • Identifies biases in AI reasoning.
   • Demonstrates structured argumentation.
   • Enhances critical thinking through rebuttal analysis.
   • Promotes AI literacy by demystifying model behavior.

Best Dgraph App: Dada

The Problem:

Finding high-quality and relevant resources is challenging due to:

• Information Overload: Excessive content on the internet makes it hard to identify valuable resources.
• Scattered Knowledge: Resources are fragmented across platforms.
• Context Loss: Traditional search engines miss contextual relevance.
• Discovery Challenges: Exploring related topics or finding new content is cumbersome.

The Solution:

Dada is an innovative resource discovery platform powered by DGraph's vector search. It simplifies finding and sharing valuable content by offering semantic search, intuitive navigation, and community-driven contributions.

Key Features:

1. Semantic Search: Context-aware search powered by DGraph's vector embeddings.
2. Community-Driven Content: Easy sharing and categorization of resources.
3. Smart Tagging System: Intuitive tagging for discovering related topics.
4. Visual Resource Cards: Engaging previews with essential information.
5. Responsive Design: Seamless user experience across all devices.

Best Presentation: HyperLibrary

The Problem

Traditional library systems, especially in underserved regions, rely on manual processes that are inefficient for both administrators and students. Accessing books often requires in-person visits, leading to inconvenience and missed opportunities for fostering learning.

The Solution:

HyperLibrary is a centralized library management portal designed to streamline resource management for administrators and enhance accessibility for students. It integrates advanced functionalities such as AI-generated content, semantic search, and cross-platform notifications, bridging the gap between traditional libraries and modern technology.

Key Features:

• Admin Portal:
  • Comprehensive dashboard for tracking books, students, and issuance history.
  • Efficient book management with automated metadata generation and announcements via Discord/Telegram.
  • Issuance records, payment tracking through RazorPay, and AI-powered scheduled announcements.
• Student Portal:
  • Dynamic book catalog enriched with Open Library's API for cover images and semantic search.
  • AI-generated content, including quotes, critiques, and engaging conversations about books.
  • Personal profile management and seamless tracking of issued books and history.
• Tech Integration:
  • Built using Next.js, Tailwind CSS, and Modus for intelligent APIs.
  • Supabase-powered PostgreSQL database for secure and efficient data management.
  • RazorPay for payment links and SMTP2GO for transactional emails.

HyperLibrary transforms traditional library systems into modern, accessible platforms, making a meaningful impact in education, especially in underserved areas.

Honorable Mention: Feednest

The Problem:

In the fast-paced development world, feedback tools often fail to:

• Align with developer workflows.
• Provide actionable insights from raw data.
• Understand the sentiment or context of user feedback.

The Solution:

Feednest is a next-generation platform that empowers developers to collect, analyze, and act on user feedback. It integrates seamlessly into development workflows, turning raw feedback into actionable insights through AI-powered features.

Key Features:

1. AI-Powered Sentiment Analysis:
   • Understand feedback tone (positive, neutral, or negative).
   • Prioritize critical issues and track user satisfaction trends.
2. AI-Powered Summarization:
   • Condense large volumes of feedback into concise summaries.
   • Highlight key insights for faster decision-making.
3. Vector Search with NLP:
   • Enable natural language queries for smarter feedback retrieval.
   • Discover hidden patterns and related feedback effortlessly.
4. Feedback Widget:
   • Easily integrate feedback collection into websites and apps with a few steps.

Read the full story - https://quavo.hashnode.dev/manage-and-analyze-feedback-efficiently-with-feednest

Runner Up: MindMap AI

Problem Statement

In today's information-rich world, keeping track of ideas is tough. People struggle to: _ Organize complex thoughts clearly _ Collaborate on interconnected concepts * Create visual maps quickly and easily

Traditional note-taking feels clunky. We need a smarter way to capture and connect ideas that's simple, intuitive, and actually helps how we think.

Solution 🗝

MindMap AI provides an effective solution for organizing complex ideas through:

1. Easy Mind Mapping: Users can quickly create mind maps by inputting topics or pasting content, transforming them into clear visuals.
2. AI Insights: The platform analyzes input to highlight key concepts and relationships, enhancing understanding.
3. Interactive Features: Users can dynamically adjust and explore their mind maps in real-time.
4. Collaboration: Mind maps can be easily shared and exported in various formats, including interactive SVGs.
5. PDF Integration: Users can upload PDFs to extract text and incorporate it into their mind maps.
6. User-Friendly Design: The intuitive interface ensures accessibility for all skill levels.
7. Intelligent Resource Discovery: Automatically generate relevant links, blogs, and research resources for each mind map node, enriching your content with credible, contextual information from across the web.

MindMap AI simplifies the process of visualizing thoughts, making it efficient and enjoyable.

Read the full blog here - https://sarthakjain.hashnode.dev/mindmap-ai-unlock-your-creativity-with-intelligent-mind-mapping

Winner: Rec & Triv

The Problem

Managing and utilizing APIs, AI models, and serverless frameworks like Modus can be challenging for developers, especially when integrating features like movie recommendations and trivia generation. Ensuring smooth backend-hosting workflows and functional user experiences adds further complexity.

The Solution

Rec & Triv is a web application combining AI-powered movie trivia with personalized movie recommendations. It simplifies backend functionality using Modus, while leveraging TMDB and Wikipedia for data, making it engaging and educational for users.

Key Features

1. Movie Recommendations: Uses Modus Collections to suggest movies based on user input.
2. AI Trivia Generator: Employs Meta Llama 3.1 to generate interactive movie trivia questions with difficulty levels.
3. Seamless Integration:
   • Frontend: Built with Next.js 14 for a modern UI/UX.
   • Backend: Hosted on Hypermode, powered by Modus functions.
4. Multi-Source Data: Combines TMDB API, Wikipedia, and PostgreSQL for robust data storage and retrieval.
5. Game Stats & History: Tracks user progress and previously answered trivia questions.
6. Scalable Deployment: Hosted using Hypermode for automated deployments linked to GitHub.

Want to build and deploy model-native apps like the ModusHack winners? Create your free Hypermode account today.