Plannr

Logo
Tech Stack
UI
more UI
AI Agents 1
AI Agents 2

Inspiration

As hackathon organizers ourselves, we know firsthand how overwhelming and chaotic planning can get. Finding sponsors, booking venues, managing transportation, designing websites, ordering swag, handling outreach, and running logistics, all while keeping everything on schedule, requires hundreds of emails, calls, and spreadsheet updates. Inspired by the theme of this hackathon, we asked: Why not build an AI system that can do most of this for us? That’s how Plannr was born: an intelligent AI-powered assistant that automates the hardest parts of organizing hackathons.

What it does

Plannr is an AI Hackathon Organizer Assistant powered by a system of specialized agents that automate and streamline every stage of hackathon planning.

It helps you:

Find and reach out to sponsors, write contextual emails, follow up, and log progress
Search for venues, call vendors with Vapi, negotiate pricing, and track details
Coordinate bussing and catering, automatically call around for quotes and log everything
Generate a content calendar with posts, reels, and emails using Claude and Gemini
Schedule and log Instagram posts, with AI-generated visuals
Manage outreach for mentors, speakers, and communities
Auto-generate websites, hackathon applications, and answer FAQs

Everything is coordinated through a central spreadsheet system and connected via n8n workflows that use agents from Claude, Gemini, Fetch.ai, Unify, Orkes, Groq, Vapi, and letta.ai.

How we built it

Claude (via Fetch.ai uAgents): Content generation, email writing, route suggestions, sponsor research
Gemini: Generated visuals (posts, reels), swag design, website copy
Vapi: Outbound voice calls for bus quotes, venue calls, meal vendor outreach
n8n: Our orchestration layer; we built a suite of agent-based workflows across outreach, logistics, and marketing
Google Sheets API: All metadata is logged to editable and synced spreadsheets
Groq, Orkes: Integrated to power backend services, real-time decisioning, and scalable processing
Frontend: Simple interface to add and edit hackathon metadata (in progress)

Challenges we ran into

Workflow explosion: Managing over 10 parallel n8n workflows with asynchronous agents was messy
Voice API hiccups: Setting up Vapi assistants and linking IDs dynamically in n8n required a lot of debugging
LLM agent coordination: Syncing Claude with Fetch.ai agents and letting Gemini handle visual generation within time constraints
Rate limits and APIs: Many services had undocumented rate limits or unstable behavior
Time constraints: Trying to ship a multi-agent production system in under 24 hours with only two people.

Accomplishments that we're proud of

Built a modular, multi-agent automation system for planning events
Designed workflows that can run independently or in sequence
Used voice agents to actually call real vendors (bus, venue, catering)
Auto-generated a full week of Instagram content (posts and reels)
Created our own Claude sponsor research and outreach agent
Integrated multiple AI platforms together in one cohesive system

What we learned

How to orchestrate multi-agent workflows using n8n, Claude, and Fetch.ai
How to integrate voice automation using Vapi and parse responses
How to structure event metadata centrally for agents to read and write from
That AI can reduce hours of planning into minutes with the right system design
That even the best agents need solid UX, traceability, and logging