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My First MillionStanford Students Pitch Us Their Startups | $3500 Prize Money (#449)
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WHAT IT’S REALLY ABOUT
Stanford founders pitch four startups; hosts pick Simplify as winner
- The episode is a Stanford pitch competition where multiple student founders present startups and get rapid-fire feedback from Shaan Puri and Sam Parr, with a $3,500 prize awarded at the end.
- Transcribe Glass pitched wearable subtitles for deaf/hard-of-hearing users, but the hosts challenged the viability of competing in AR hardware and suggested captions may become a feature on future big-tech glasses.
- AdmitYogi pitched a paid database of real accepted college applications and described meaningful revenue and social distribution traction while remaining profitable and not currently fundraising.
- Candid pitched a vlog-based mental health journaling app using transcription and emotion/topic extraction, but the hosts questioned user adherence and whether the economics can reach venture scale.
- Simplify pitched a Chrome extension and platform to streamline job applications and job discovery, highlighted large user/application volume, announced a $2M seed round, and was chosen as the winner.
IDEAS WORTH REMEMBERING
5 ideasTranscribe Glass aims to bring captions into real-world conversations via wearable subtitles.
Tom pitched a lightweight AR add-on that attaches to existing glasses and displays live subtitles in the wearer’s field of view using third-party automated speech recognition services (Google, Microsoft, IBM), with plans to move toward on-device models.
The hosts questioned whether a small team can win in consumer AR hardware versus platform giants.
Shaan argued that the hardware/form-factor race is dominated by major companies and that captions could become a feature layered on top of mass-market AR glasses, making the startup’s current approach less investable in his view.
AdmitYogi’s marketplace model monetizes access to real accepted applications and pays contributors to supply them.
Soham said AdmitYogi sells access to a database of accepted college applications; high schoolers pay $5–$10 per application, while the company pays college students to upload, including via a Common App integration that takes ~30 seconds.
AdmitYogi demonstrated traction and strong Gen Z distribution without raising capital so far.
Soham reported the business started in September 2022 with no outside funding, expects $130,000 in revenue in its first year (Sept 2022–Aug 2023), and said it has helped over 11,000 high schoolers; he also cited a TikTok channel with 61,000 followers and 30 million organic impressions as a key distribution engine.
Candid positions “soft therapy” as a social/video habit plus AI-generated self-insight, but the hosts doubted venture-scale economics and habit friction.
Zain and Matthew described Candid as a vlog-based journaling product that prompts daily highs/lows and reflective questions, then transcribes videos and extracts emotions/topics to show patterns, enable “smart search,” and generate a weekly “aura” visual; they said they have ~50 users, are in TestFlight, raised a $500k pre-seed, and plan campus-to-campus launches starting at Stanford.
WORDS WORTH SAVING
5 quotesSeems like we're putting this business podcast turning into a rizness podcast.
— Ananth Veluvali
People don't actually use AR glasses today. No one uses them.
— Unattributed
But for the longest time, they've been maintained and gate kept by this mafia of $6,000, $6,000 college consultants.
— Unattributed
As an investor, I don't think it's awesome. As someone working on it, I think you guys are in the best case scenario because you have $500,000, and if this dies next m- next year, then it's like no big deal.
— Sam Parr
Learning is great, but it is second to earning.
— Shaan Puri
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SPEAKERS
Shaan Puri
hostCo-host of My First Million; entrepreneur and investor.
Ananth Veluvali
cameoStanford community lead/organizer who emcees and introduces student founders.
Sam Parr
hostCo-host of My First Million; entrepreneur and investor.
High quality AI-generated summary created from speaker-labeled transcript.