How we won first prize and $10K USD in 5 days

When we decided to join the Falcon Hackathon conducted by the Lablab team, we had 7 days left to do it. Our first challenge was deciding what idea to submit. We split this task among our 6-member team, with each of us coming back with 3 ideas. These ranged from Fashion and Retail to Healthcare, Travel and Tourism, and more. We spent almost 6 hours on a call discussing each idea, weighing their pros and cons.

The criteria we discussed were:

- Is the problem statement a good fit for LLM? - Why hasn't this been solved before without LLM? - Is there a better solution than LLM for this? - What's the industry, and what's the potential for expansion?

After this consideration, we shortlisted some use cases, but none were unique—we found they'd either already been solved or weren't necessary. So, we decided to return to our comfort zone: building a dev tool.

We chose to build a low-code platform where users could create all the use cases we'd discussed without coding. We found a few alternatives, but none quite met our needs.

We started creating wireframes while some of us began building the backend. In one day, we completed the full wireframe. Then, while discussing how to present the demo, we chose one of our previously discussed use cases: an insurance chatbot.

To expedite the demo, we decided to use Airtable as the destination and built agents for Airtable and PDF to fulfill this use case. This took us a day. By the next day, we had also developed the front end.

On day 5, we began integrating in the morning and finished before evening, then started recording the demo. We weren't entirely satisfied with some aspects, but then we learned the deadline had been extended by a day.

We worked for another 24 hours to improve it. Finally, we received an email announcing we were finalists. That's when we decided to take this project further.

After the final demo, we won first prize, which was incredibly exciting. We're now using the prize money to develop this project further and plan to open-source it once it's complete.

That’s an impressive accomplishment! Building a low-code platform in just seven days is no small feat. I’d love to hear more about the specific use cases you’ve implemented and how you tackled challenges like ensuring the platform’s ease of use for non-technical users. Great work!

Great work.Rather than simple RAG systems, i would like to use these kind of tools with agent based workflows which does more than explaining things using LLM.