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Dev Patel
Boardy
180 posts
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@_devp

Dev Patel

Boardy
@_devp
Member of Technical Staff @BoardyAI | Prev. Founding Engineer @ Bluejay (YC X25) & AI @Fidelity | Voice AI, LLMs, Finance
Toronto, Ontario
devp.ca
Joined February 2022
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  • Pinned
    @_devp
    Dev Patel
    Boardy
    @_devp
    Aug 15, 2025
    Replying to @akshay_pachaar
    0.5 GB on a light weight model is completely fixated on fine tuning to your own needs, this is what we need in the open source!
    2
  • @_devp
    Dev Patel
    Boardy
    @_devp
    Sep 4
    something that stood out here was that there wasn’t a single key pressed. voice-first is where we’re headed for communication with agents
    @OpenAI
    OpenAI
    @OpenAI
    Sep 3
    This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.
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  • @_devp
    Dev Patel
    Boardy
    @_devp
    Aug 11
    get interviewed by the person who you'll be building. agi is here
    @owengretzinger
    owen
    Boardy
    @owengretzinger
    Aug 11
    I'm hiring engineers at Boardy! @boardyai is an AI Superconnector that exchanges millions of messages with people around the world and has made 160k+ introductions. Those introductions have led to investments, hires, and companies being started. We've built all of this with a
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    4
  • @_devp
    Dev Patel
    Boardy
    @_devp
    Jul 29
    External provider dependency never disappoints (in the worst way). Another reason to build things in-house as much as possible
    @andrewdsouza
    Andrew D'Souza
    Boardy
    @andrewdsouza
    Jul 29
    Boardy hit @twilio rate limits and their support is legitimately terrible. Looking for alternatives ASAP of a provider who actually wants high-growth startups as customers. Sorry if you’ve been trying to call/text @boardyai this week and he’s been a bit unreliable. Will fix it
  • @_devp
    Dev Patel
    Boardy
    @_devp
    May 26
    undoing positional encoding before compressing the K cache....simple idea that nobody was doing, unlocks 10x KV cache compression with zero accuracy loss
    @krishgarg
    Krish
    @krishgarg
    May 25
    i just beat @GoogleDeepMind's turboquant introducing Shard. 10x KV cache compression on Llama-3.1-8B. zero quality loss - 10x @ 8K context, 11.2x @ 32K - NIAH recall 1.000 across 4K-32K - LongBench Δ ≈ 0 vs FP16 turboquant tops out at 4-6x at the same quality. we doubled it.
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