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Nayak_S1991

HN member
Joined
Tue, Oct 01, 2024, 8:19 AM UTC
HN karma
-1
Public activity
70 items

About Nayak_S1991

No profile information was provided.

Recent public activity

  1. story
    Show HN: Feedback and Beta Hub for Indian Tech Builders and Solo Makers

    This community helps Indian tech builders (including NRIs) and solo makers get feedback, beta testers, mentorship, and support.

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    Comment #45423376

    Ideas need an execution , glad to know your end result is a successful implementation. thanks for sharing keep shining best wishes for your app team

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    Comment #44076172

    Nice work buddy The structured learning flow sounds like a big improvement over messy prompt hacking. Curious how you are handling user input formats, can it ingest raw lecture sli…

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    Comment #44076119

    I have built 1- FULLY MANAGED DIGITAL ECOSYSTEM(ALL IN ONE PARTNER) 2- Digital Presence & Branding 3- SEO & LEAD GENERATION mechanism 4- Native WEBSITE & MOBILE APP 5- AI-BASED AUT…

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    Ask HN: How to start selling my Restaurant AI automation software?

    In today’s hyper competitive environment, traditional restaurant operations are no longer sustainable without digitization. A lack of integrated systems, limited digital marketing …

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    Comment #44073191

    First they add hidden fees, now they use your email for marketing all under the guise of going paperless. Feels less like saving the environment and more like squeezing the custome…

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    Comment #44073116

    it is an independent implementation that accesses NASA's publicly available APIs. that's a great work guys Keep innovating in MCP usage best wishes

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    Comment #44054864

    This is a great idea and dope approach for community building for like minded folks

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    Comment #43838316

    A new breakthrough called Dynamic Length Float (DFloat11) promises to change that. It shrinks LLMs by about 30% while keeping their performance identical to the original. In this p…

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    Comment #43815018

    A new breakthrough called Dynamic Length Float (DFloat11) promises to change that. It shrinks LLMs by about 30% while keeping their performance identical to the original. In this p…