Builders Report: Edition 3
Five young teams building in stablecoin payments, AI video training datasets, skiing & snowboarding social apps, real-time coordination platforms, and sustainable fashion discovery!
Welcome to the 3rd edition of Builders Report, where we spotlight young founders! For those who just joined us, thanks for being here. If you haven't yet, subscribe below:
Founders: Jensen Coonradt (MIT), Simmi Sen (Stanford)
Company: Crebit
What? Fastest and cheapest foreign exchange powered by stablecoins.
Why? International students often pay an extra 4-10% in foreign exchange fees on their tuition payments. With stablecoins, we’re able to completely reduce that and help our classmates save thousands.
What’s next? We just launched on the App Store and are now expanding to several more countries. We envision Crebit as becoming the go-to neobank for international students. We’re also partnering with university credit unions like MSUFCU.
My Notes:
Jensen and Simmi are incredibly young (both graduated high school in 2024) and are backed by a16z Speedrun. In high school, Jensen developed a patent-pending algae biofiltration system to combat air pollution in schools and designed an ultrasonic backpack to assist the visually impaired. He's also taught free coding and circuitry classes to low-income Boston students and developed robotics curriculum for underserved schools. In high school, Simmi founded Tints, a high-end, hand-embroidered clothing brand worn by Offset, Meghan Trainor, the D'Amelios, and more, and grew the company's Instagram account to 50k followers. Wow, thoroughly impressed!
Founders: Bryan Hong (UC Berkeley), Andre Braga (UC Santa Barbara), Braiden Dishman (UC Santa Barbara), Alexzendor Misra (UC Santa Barbara)
Company: Shofo (YC W26)
What? We maintain the largest index of short-form videos and run a human-in-the-loop pipeline to clean, segment, and label content. Labs can query this index to generate custom, structured training datasets tailored to their models.
Why? Our team met building Correkt, a multimodal AI search engine that reached 43k users. We'd built a giant video index to let people search for memes across social media, but along the way, AI labs started reaching out wanting access to it. Turns out we'd built a structured and searchable dataset of short-form videos, which was perfect for training modern AI models. So we pivoted and built Shofo (YC W26).
What’s next? We believe video is the next frontier for AI models, just as text was for LLMs. We're building the Common Crawl for video: a single, structured library where AI labs and researchers can pull whatever video dataset they need off the shelf, on demand.
My Notes:
Shofo has 100M+ videos indexed, 200+ fields per video, and covers 4 platforms (TikTok, LinkedIn, Instagram, and X). They only charge $0.0005 per record. Interested in beauty & fashion videos from Brazil that got the most comments between October and December 2025? What about cooking videos with hand-object interactions from 2025? Shofo's got you.
There is an enormous amount of video content that can be used to train modern AI, from video foundation models (that generate video) to multimodal alignment (connecting visuals with speech and text), embedding and retrieval systems, and more.
Founder: Alfred Arnaud (UC Berkeley)
Company: Shredder
What? Matchmaking app for skiers and snowboarders.
Why? We launched in August of 2025.
What’s next? We’ve grown Shredder to over 110,000 users and 70M+ organic views with zero paid acquisition. Next, we’re building an AI-powered matchmaker that improves connections using real riding data. In parallel, we’re launching what we believe will be the largest creator program ever built for a consumer app, turning creators into our primary growth engine as we scale.
My Notes:
To provide more context, Shredder is a social platform designed for people to track their performance on the slopes and connect with others at snow spots (think Strava for skiing and snowboarding). You can track and record stats like speed, distance, vertical feet, runs, and days on snow. They're building an AI-powered matching algorithm to help connect people, presumably of similar ability levels, which is super cool and relevant to other consumer platforms as well. Shredder also helps people find rides to the mountain, share travel plans, and organize events.
Shredder's mascot is a robot that they've taken to ski resorts, where it's been mobbed by people who post and share about it. Clever way to engineer virality!
Founders: Carter Munk (USC), Tess Sutter (Bucknell), Filipe Alvarenga (Unisinos)
Company: Pinned Social
What? Pinned is a people-powered, map-first social app that helps Gen Z solve the “what’s the move?” problem. It lets you see what your friends are doing in real time, discover friend-vetted spots, and join plans spontaneously.
Why? I started Pinned after realizing how often plans die in group chats and how lonely a hyper-connected generation can still feel. After building and stepping away from Cerca, I wanted to tackle coordination and real-world connection at its core.
What’s next? We’ve grown to 10K+ on the waitlist and launched our NYC beta with 150 testers, generating hundreds of spontaneous pins in just the first weeks. Next, we’re rolling out a redesigned search and discovery layer, expanding to more campuses and cities, and refining the product ahead of a full App Store launch. Long term, our vision is to become the coordination layer for Gen Z - the people-powered map that turns passive scrolling into real-world connection.
My Notes:
Check out Carter's LinkedIn posts throughout Pinned Social's beta. He's been building in public, sharing beta feedback and short clips of the platform, and has grown a 10k waitlist in a super short period of time with zero paid marketing spend!
Founders: Samira Salifu (Drexel), Rukaiah Edhah (Mercy)
Company: Masira
What? Masira is a platform that helps shoppers discover sustainable fashion and learn how to style one product in multiple ways.
Why? We started Masira because shopping today focuses on selling single items instead of helping people build real wardrobes, which leaves many of us with full closets but nothing to wear. After experiencing this ourselves, we built Masira to focus on quality, personal style, and showing how pieces work together so people can buy less and wear more.
What’s next? Next, we’re working on growing our brand partnerships to improve our AI recommendations and offer shoppers more personalized options. So far, we’ve reached over 522 total visitors for our beta.
My Notes:
Masira has recently opened up their beta! The platform responds to natural language queries like "tailored pants I can wear to work and weekends." Every item comes with multiple styled outfit ideas showing how it fits into a real wardrobe. This is super cool! AI integration and styling in e-commerce improves the user experience drastically (+ can encourage cross-selling of other items through the site).
Thank you for reading!!
Hope you enjoyed this issue of Builders Report! We’re excited to spotlight more young founders in the coming weeks.
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Feedback or ideas? Email me at adrian@telilabs.com.
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