trisha bhullar (@trisha_bhullar) 's Twitter Profile
trisha bhullar

@trisha_bhullar

building & investing in nyc | professional yapper amateur writer

ID: 1772666796962709504

calendar_today26-03-2024 16:48:06

77 Tweet

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trisha bhullar (@trisha_bhullar) 's Twitter Profile Photo

excited about healthcare AI startups like Abridge — BUT i want to see it go beyond transcription to process info and propose next-steps derived from an internal medical library (for doctors to cross-check their diagnoses)

trisha bhullar (@trisha_bhullar) 's Twitter Profile Photo

making a mental note of FRICH -- rare to see a pdt that capitalizes on gen z fomo as well as this (it’s a compliment!!) their poll feature is also a smart way to gather data for future monetization (targeted ads + partnerships w other fin products)

Olivia Moore (@omooretweets) 's Twitter Profile Photo

AI voice agents are on 🔥 We're moving from the innovator -> early adopter part of the curve, with new startups sprouting up weekly to serve different verticals. What Anish Acharya and I are seeing a16z, and why we're excited 👇

AI voice agents are on 🔥

We're moving from the innovator -> early adopter part of the curve, with new startups sprouting up weekly to serve different verticals.

What <a href="/illscience/">Anish Acharya</a> and I are seeing <a href="/a16z/">a16z</a>, and why we're excited 👇
trisha bhullar (@trisha_bhullar) 's Twitter Profile Photo

looking at yc’s latest batch and seeing lots of wrappers on top of foundational models — lowk validates the thinking that models are commoditized and, at best, will see differentiation in memory and autonomy. definitely a higher chance of success investing in the app layer

Jared Hecht (@jaredhecht) 's Twitter Profile Photo

We've been trying to understand what can make something defensible at the AI application layer. Data network effects, specifically "System of Record" ones, are one potential characteristic. This Nick Grossman post explains further.

We've been trying to understand what can make something defensible at the AI application layer. Data network effects, specifically "System of Record" ones, are one potential characteristic. This <a href="/nickgrossman/">Nick Grossman</a> post explains further.