SponsorLoop: An AI Agent for Sponsorship Outreach
A submission for Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady.
What I Built
Organizing a college hackathon is hard enough. Finding sponsors, researching companies, writing personalized pitches, managing follow-ups, and tracking commitments can feel like running an entirely separate operation.
SponsorLoop is an AI-powered sponsorship workflow agent designed for student hackathons, college festivals, and conferences.
It helps organizers:
- Discover potential sponsors: Identify relevant prospects and review their fit for an event.
- Prepare personalized pitches: Generate outreach drafts using event details and sponsorship packages.
- Keep humans in control: Review and approve outreach drafts before they can be sent.
- Manage the sponsorship pipeline: Track prospects from discovery and research through outreach, negotiation, and confirmation.
- Track commitments: Keep sponsor deliverables and organizer obligations organized in one place.
- Prepare social outreach: Create LinkedIn and Instagram message drafts that organizers can review and use themselves.
The goal is to reduce the repetitive coordination work involved in sponsorship outreach, giving organizers more time to focus on the event itself.
Demo
**Live demo:https://github.com/Prachivats-21/sponsorloop
**Video demo:https://youtu.be/-wnLMzHzC8k
The demo walks through finding sponsor prospects, generating a tailored pitch, reviewing and approving the draft, and tracking the sponsorship pipeline.
Code
GitHub repository: [Add your SponsorLoop repository URL]
SponsorLoop includes a FastAPI backend, a React frontend, SQLite-backed event and sponsorship records, a typed tool registry, and a workflow orchestrator.
The project is designed around a modular architecture so that the AI provider and individual tools can evolve without requiring the entire application to be rebuilt.
How I Built It
I built SponsorLoop as a workflow-oriented agent rather than a chatbot that simply returns text.
The application combines:
- FastAPI for the backend API.
- React and Vite for the frontend.
- SQLite for persistent event, prospect, and outreach records.
- Pydantic v2 for typed data validation.
- A tool registry and custom orchestrator for coordinating the application's workflow.
- An AI-provider layer designed to support different inference backends.
I'm using Hermes as part of my agent approach, with the aim of making the workflow tool-driven and extensible. The application itself manages the event data, sponsorship pipeline, and human-approval rules.
The project also contains an integration for running Gemma 2 through Ollama, alongside a deterministic fallback engine. The fallback keeps the core workflow usable when an external AI provider or local model service is unavailable.
One design principle matters particularly here: generated outreach is not automatically authorized outreach. Drafts require human approval before they can proceed to the sending workflow.
This separation makes it possible to automate repetitive preparation without giving the agent unrestricted control over external communication.
Why Does Open Innovation Matter?
Sponsorship workflows are not identical across communities.
A small college hackathon, a university technical festival, and a developer conference can have very different sponsor categories, outreach styles, packages, and approval processes.
Open innovation makes SponsorLoop easier for other organizers and developers to inspect, adapt, and extend. Someone could customize the sponsor categories, add a new outreach channel, improve the matching logic, or connect another AI provider without rebuilding the entire product.
It also makes the project's limitations easier to examine. Developers can see how the workflow operates, where human approval is enforced, and how the application behaves when an AI provider is unavailable.
For a project intended to help student communities, that flexibility matters. The goal is not to lock organizers into one provider or one rigid workflow. It's to give them a foundation they can improve together.
The Lazy Payoff
The repetitive work involved in sponsorship outreach includes searching for prospects, tailoring pitches, and keeping the pipeline up to date.
SponsorLoop brings those tasks into one workflow, reducing the amount of manual switching between documents, messages, and tracking sheets.
I haven't included a measured time-saving figure because I don't want to present an estimate as a benchmark. A useful next step is to compare the time required to research and draft outreach for the same set of sponsors manually versus using SponsorLoop.
The intended payoff is straightforward: less administrative repetition, more time for the work that actually makes an event successful.
Thank You!!!!!!!
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