Alvin
Alaphat

One of my mentors, Tim Connors, coaches entrepreneurs and investors on a regular basis. Tim and other venture investors have written many articles that outline their playbook when it comes to early stage companies. I trained an LLM on all their written articles so anyone can now ask questions to their clone and it'll answer in their voice, based on their startup playbook. If they haven't written on the topic, it'll send them an email letting them know the question so they can curate an answer on the backend. The product is currently being used by 500+ investors and students who want guidance on various topics. This product ultimately led me to joining Delphi as a founding engineer, a startup focused on digitally cloning people.

I spent my sophomore and junior years of college founding a startup that aimed to change the angle of social networking. Instead of isolating people online, the goal was to make it a means of bringing people together. Everyone always asks "What's the move?" and nobody does this more than a college student during lockdown. Enter MOOV — an exclusive, tailored college experience. Find what your friends are doing on the weekend, which student activities are happening on campus, and what local spots around your college town are popping off each week. We launched at Notre Dame in August 2021, partnering with over 20 local businesses and acquiring 4000+ users.

The first ever Meme Based Stock Market. Users receive daily stipends of 50 virtual coins. Using Twitter's API to track the virality of a meme, people can bet on how viral a tweet becomes within a defined time period — kind of like call options in the real world. The algorithm calculates the riskiness of that bet based on the given parameters and determines the payout. Friends can even compete with each other on the leaderboards.

A soccer transfer rumor aggregator. Often times, different sites have mixed opinions about possible transfers in the professional soccer world. By searching any player or team, users can find information from multiple reputable sites and compare the validity of the information. All search results link users directly back to the original article for further reading.

I needed a practical way to consume large amounts of reading each night for my classes. Using natural language processing, I developed a simple app that cuts down time by summarizing all the content of a text down to 15–20% of its original content, leaving only the main ideas. I shared this tool with my friends so that they could spend less late nights reading large philosophy texts.

A web app for my school that allows students and teachers to share their skills across a single network. They simply sign up noting what skills they have and with a simple search, they can find other users who have a skill they're looking for or want to become trained in. There's also a chat to set up meetings and a calendar for classroom reservations. The purpose was to use software as a means to promote face-to-face interactions.