Nestor Campos Rojas (@nes_campos) header
Nestor Campos Rojas (@nes_campos) profile picture

(AI & Data) Specialist Lead at Deloitte. Founder of Techgethr (https://teapawt.net/t.co/Y5CT96acec) - Web3 Venture Builder.

Chile
Joined October 2011
Photo by Nestor Campos Rojas (@nes_campos)Photo by Nestor Campos Rojas (@nes_campos)Photo by Nestor Campos Rojas (@nes_campos)Photo by Nestor Campos Rojas (@nes_campos)Photo by Nestor Campos Rojas (@nes_campos)Photo by Nestor Campos Rojas (@nes_campos)Photo by Nestor Campos Rojas (@nes_campos)Photo by Nestor Campos Rojas (@nes_campos)
Happy and motivated to be a finalist in the Polkadot Hackathon 2024 Singapore to build a new ecosystem on this great infrastructure. See you in Singapore. @AraucoChain
We are very happy to be finalists of the @Polkadot Hackathon 2024 Singapore. Every day we are working on bringing open finance to everyone, especially in developing countries, and with this powerful ecosystem and technologies, we will achieve it. medium.com/@OneBlockplus/202…
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What if a small web app could live directly on the Xahau blockchain? With the new PWALoader amendment, it's possible! In this new Learning Xahau tutorial, we build three simple web apps using Xahau Testnet: a links page, a game, and a live dashboard. dev.to/ekiserrepe/learning-x…
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DevRel at Midnight is being eliminated, so I'm looking🫡 I run developer orgs: advocacy, education, docs, DX I also ship: 16 Claude Code plugins that check AI code before a dev sees it Previously: Polkadot, New Relic, Puppet, Vonage, Amazon Director / Head of / VP - Remote Reposts appreciated 🙏✨
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Launching onchainatlas.org a complete encyclopedia of on-chain products and experiments, both successful and failed dating back to 2013. The idea is to bring back on-chain experimentation by studying everything that has failed, worked, or gone on to become an on-chain unicorn. Every product includes its full history, what went right, what went wrong and an interactive simulator where you can adjust key variables and see how the product reacts in real time Also built an on-chain primitive generator using GPT and data collected from more than 450 products and experiments. It combines ideas across crypto history to generate new product concepts for you to explore + share on X The goal is to help founders learn from the past and get inspired to build the next on-chain unicorn. There are so many primitives that have yet to be discovered. It’s still V1, so reply back with any feedback.
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Sent Episode 4 of HackList Weekly 🥳 0 to 1,024 subscribers in a month. We also rebranded @HackListHQ is no longer just a hackathon directory. We now aggregate Hackathons, Bounties, Grants, Programs and Jobs for AI and Web3 builders. To everyone who subscribed, shared and joined the community thank you. Subscribe and join the community 👇 Hacklist.io
Sent Episode 3 of HackList Weekly today. We went from 104 to 910 subscribers in one week. I am honestly so grateful for every single one of you who subscribed, shared and joined the community This is just the beginning Make sure to Subscribe and join the community here 👇 Hacklist.io
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Hoy en un semáforo de Puente alto, se nos acercó al auto un caballero (diría 60-70 años) muy educado a darnos esta tarjeta, era profesor y ofrecía clases. Compartir ☺️
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I am building a voice agent to find and summarize news using ElevenLabs for the interaction and Firecrawl to find specific news and websites with scraping. Here is the code: github.com/nescampos/echoage… In the next post, a full video about how it works (and some fixes to the code).
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Also, thanks to the agentic features, I could create a plan with actions to approach users (with the possibility to churn) and try to retain them. It was very easy and simple to interact, where my focus was to define the problem very well and specify the right instructions 🧵
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I have created my first project with @Zerve_AI. This project explores user behavior on the platform and builds a churn model. In a few steps, by chatting with the agent, I got a full notebook of details and analysis. 🧵👇
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At FinMatrix, there's no single owner. Miners compete to offer the best personalized investment strategy. How do we achieve this? ✅ Real-time market data analysis. ✅ Specialized financial language models. ✅ Portfolio optimization under real-time risk. 👇
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The current system is broken: 1️⃣ Advisors with conflicts of interest. 2️⃣ Opaque "black box" strategies. 3️⃣ Limited access for retail users. Why trust a centralized bank when you can trust a mathematical consensus of hundreds of experts? 👇
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I came up with the idea for FinMatrix, a new subnet on Bittensor for the Bittensor Ideathon by @HackQuest_ In short, the focus is on democratizing global "Alpha" through decentralized AI. 🧵👇
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4/5) The focus is on businesses like restaurants that want to display photos, but constantly taking them generates monetary costs and wasted time. What better than a customized model to do it? Here are 3 more images generated by the model.
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3/5) Because many delivery apps and restaurants don't show photos of all their products, which creates uncertainty for us (the consumers) about which dish we want to order. Here are 3 photos generated with the model that look like professional photographers took them.
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2/5) Using Qwen-Image and images from professional food photographers (there's one here), I trained my LoRA model to generate professional photographs of a wide range of dishes. The name: "Qwen Commercial Food". Why? 👇
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1/5) Like many others, I decided to participate in the Qwen-Image LoRA Training Competition. And you can too: modelscope.ai/active/qwenima… What did I do? 🧵 @ModelScope2022 @Alibaba_Qwen @Ali_TongyiLab #HappyQwensday #QwenImageLora
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Zvec is here. The SQLite of Vector Databases. 🚀 An open-source Embedded Vector Database built for the edge. Lightweight: Zvec is a zero-dependency, embedded vector database that runs locally with minimal resource usage, ideal for edge devices. Lightning-fast: Over 8,000 QPS—more than 2× the previous leaderboard #1 (ZillizCloud)—while also substantially reducing index build time. RAG-Ready: Zvec natively supports dynamic CRUD, hybrid search, multi-vector fusion, and reranking—enabling robust on-device RAG. Try it now: 🛠️ Github:github.com/alibaba/zvec 🌐Website: zvec.org/en/ 📝Blog: zvec.org/en/blog/introductio…
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