Vishakh
@vishakh
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Building @monadicdna, bringing security, privacy and sovereignty to genomic data.
New York, NY
Joined July 2007
Fully homomorphic encryption (FHE) enables computation on encrypted data without decryption. This magical technique could greatly enhance the privacy and security of apps on the Internet. After building @MonadicDNA for a year, here are some of my key takeways about FHE: 👇
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People are paying for privacy. Zero advertising or marketing so far but @MonadicDNA has been getting its first paid customers. Slow and steady..
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Good news: My PR for adding Cycling, U.S. Soccer and Pro Wrestling to @KagiHQ News was merged! Bad news: I became even more mindful of how under threat RSS and the open Web are, even though most primary news sources use Wordpress. Enabling RSS would cost so many sites nothing
github.com
Cycling: Balanced between the sport and the lifestyle Pro Wrestling: Balanced between WWE and AEW without ignoring NJPW, TNA, etc. U.S. Soccer: Adding this as the existing Soccer category totally i...
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Most of the computation happens locally on your device. The LLM inference happens inside a Trusted Execution Envrionment (TEE) provided by @nillion nilAI!
@nillion @MonadicDNA how does nillion keep the genetic data fully private during the whole study? like no one sees my raw dna even when computing the risk stuff? this is dope for privacy
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If you have your raw DNA data, you’re probably underusing it. Monadic DNA Explorer Premium is now live.
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We previously worked on juicy projects with large banks that could have been transformational but for the absolute inability of banks to hold even transaction fees. Literally, we worked around everything else with blockchain technology but could not really solve for gas fees on
OCC: Banks and public blockchains The US Office of the Comptroller of the Currency (OCC) has issued an interpretive letter that confirms banks can hold cryptocurrencies for the purpose of paying blockchain transaction fees. This clarification may seem like a small detail, but
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There is no reasonable composite key that can be used to pick out a unique record in the @GWASCatalog dataset.
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SaaS subscription plans using stablecoins still seem like a massive UX headache.
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Calculating embeddings on one million genetic studies. Enjoying the GPU hum ASMR. 🤤
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web2: Curate fifty DNA insights for the user web3: Firehose 1m+ insights at the user and let them have at it
Introducing Monadic DNA Explorer: Private genomic analysis with secure AI 🧬 Explore ~1 million genetic trait associations from @GWASCatalog and analyze your DNA entirely in your browser. Your data never leaves your device! Optional secure LLM analysis with TEEs! Blog post 👇
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I'm gushing with delight!
Kagi News sources are open source and community-curated through our public GitHub repository. Anyone can propose additions, flag problems, or suggest improvements: https://t.co/0CER2BYYco Thanks @vishakh for your contributions and helping improve Kagi News for everyone!
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Is processing one million streaming records locally in memory in a browser tab advisable? No. Is it possible? We'll find out!
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Sifting through GWAS Catalog data to identify genetic traits for our app and it's truly humbling what public funding has produced for the world. I wonder whether DAOs or DeSci or token incentives will ever come close..
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Building @MonadicDNA using FHE and MPC......but saving a compressed, encrypted copy of the data in app storage...just in case. 😅🤞
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