Lauchloop AI

campaign studio
target audience
history
campaign reacher
Market research
tracker
Ai options
Information after ai research

Inspiration

Marketing is very hard, from researching to planning it not only takes a lot of effort but a lot of your time too, with researching each individual restaurant what type of promotion are being run, how are they increasing their business, how can I increase mine so using lauchloop ai we are able to help gap that time out and let the AI do the work while you work on something else.

What it does

AI-powered marketing campaign planner designed to help independent restaurants research competitors, create marketing strategies, and manage campaigns in one place."

How we built it

We built LaunchLoop AI using React, Vite, and JavaScript for the frontend, with Node.js and Express powering the backend.

We integrated the Tavily Search API to gather publicly available competitor information and provide source links.

For AI generation, we used NVIDIA Nemotron 3 Super 120B A12B through Nebius Token Factory.

We designed a two-stage AI workflow. First, Nemotron generates three marketing strategies based on the restaurant's details and competitor research. After the owner chooses a strategy, Nemotron generates a detailed campaign plan in a structured JSON format.

We also implemented campaign history, execution tracking, and manual performance recording using browser localStorage for our hackathon MVP.

Challenges we ran into

One of our biggest challenges was balancing AI response quality with generation time. Detailed marketing campaigns require significant reasoning, which can increase response times and token usage.

Another challenge was handling structured AI responses consistently. Since the frontend expects specific JSON fields, we implemented response parsing, validation, and fallback handling to reduce formatting-related failures.

We also had to make sure AI-generated recommendations did not present unverified competitor information or suggested promotional offers as confirmed facts.

Accomplishments that we're proud of

the project was completed very well, the team worked well under pressure and we were able to complete the project on time.

What we learned

We learned how to leverage NVIDIA Nemotron 3 as an AI-powered tool to enhance our market research capabilities. By integrating its language model capabilities into our application, we explored how AI can analyze market trends, identify potential customers, evaluate competitors, and generate actionable marketing insights. This allows us to streamline the research process, reduce the time spent gathering and interpreting information, and help independent restaurants make more informed, data-driven marketing decisions.

What's next for Lauchloop AI

In the future, we aim to expand our marketing research application beyond independent restaurants to support a wide range of businesses, including retail stores, e-commerce brands, service providers, and local entrepreneurs. By leveraging AI-powered market research, competitor analysis, customer insights, and targeted marketing recommendations, our platform will help businesses across different industries better understand their markets, identify growth opportunities, and develop more effective marketing strategies.