A Anthropic acabou de empacotar o trabalho INTEIRO de um analista junior e transformar em plugin gratuito.5 agentes prontos. Investment banking. Equity research. Private equity. Wealth management. Análise financeira.Conectados direto a FactSet, S&P Global, LSEG, MSCI e Morningstar. Não é demo. Está no GitHub, open source, instalável agora.O que fazem na prática:→ Montam pitch books no PowerPoint→ Constroem comps tables no Excel→ Redigem credit memos→ Parseiam earnings transcripts e atualizam mod
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A Anthropic acabou de empacotar o trabalho INTEIRO de um analista junior e transformar em plugin gratuito.5 agentes prontos. Investment banking. Equity research. Private equity. Wealth management. Análise financeira.Conectados direto a FactSet, S&P Global, LSEG, MSCI e Morningstar. Não é demo. Está no GitHub, open source, instalável agora.O que fazem na prática:→ Montam pitch books no PowerPoint→ Constroem comps tables no Excel→ Redigem credit memos→ Parseiam earnings transcripts e atualizam mod
254.9K views1 week ago
x.comFelipe Demartini
@vercel Ship26 is live!This year, we shipped a 3D device that can create WASM apps using wterm, just-bash, and @workflowsdk ...and a landing full of agents that walk around the site using a dynamic navigation mesh.
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@vercel Ship26 is live!This year, we shipped a 3D device that can create WASM apps using wterm, just-bash, and @workflowsdk ...and a landing full of agents that walk around the site using a dynamic navigation mesh.
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Explored the first cohort apps on MegaETH terminal.I recommend signing up with app wallets (privy wrappers) via email or any method instead of the direct EVM wallet whenever possible. Each app has a terminal connect option, so points shouldn't be an issue.Based on my experience previously with apps on Abstract, most if not all, just built for the privy experience, including their points systems. Not saying MegaETH will be exactly the same but just sharing my experience to save headache in the fu
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Explored the first cohort apps on MegaETH terminal.I recommend signing up with app wallets (privy wrappers) via email or any method instead of the direct EVM wallet whenever possible. Each app has a terminal connect option, so points shouldn't be an issue.Based on my experience previously with apps on Abstract, most if not all, just built for the privy experience, including their points systems. Not saying MegaETH will be exactly the same but just sharing my experience to save headache in the fu
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x.comAiz
I used Fastlane for whatever I small (to be big) apps I built and it worked pretty well to generate any sort of mediaWent to about $800 in revenue directly or indirectly because of themBig W!
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I used Fastlane for whatever I small (to be big) apps I built and it worked pretty well to generate any sort of mediaWent to about $800 in revenue directly or indirectly because of themBig W!
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We believe Pine Copilot is the best voice agent in the world.Not because it talks well.But because it actually gets things done.Think Siri — but it can:• call businesses• negotiate bills• handle customer service• send emails• use websites/apps• follow up persistentlyJust talk naturally:“Lower my insurance bill.”“Call the airline.”“Dispute this charge.”Pine handles it.Voice AI becomes truly useful when connected to execution.
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We believe Pine Copilot is the best voice agent in the world.Not because it talks well.But because it actually gets things done.Think Siri — but it can:• call businesses• negotiate bills• handle customer service• send emails• use websites/apps• follow up persistentlyJust talk naturally:“Lower my insurance bill.”“Call the airline.”“Dispute this charge.”Pine handles it.Voice AI becomes truly useful when connected to execution.
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Introducing Arkor, a TypeScript framework for fine-tuning.Open-weight models are getting stronger every day, and we’re excited about apps that run inference directly on users’ devices, whether that’s through WebGPU in the browser or on-phone compute.But fine-tuning still requires ML expertise, a Python-heavy environment, and GPU management. For product engineers without an ML background, that can easily become a full-time job.With Arkor, you can handle training and deployment in TypeScript.No YA
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Introducing Arkor, a TypeScript framework for fine-tuning.Open-weight models are getting stronger every day, and we’re excited about apps that run inference directly on users’ devices, whether that’s through WebGPU in the browser or on-phone compute.But fine-tuning still requires ML expertise, a Python-heavy environment, and GPU management. For product engineers without an ML background, that can easily become a full-time job.With Arkor, you can handle training and deployment in TypeScript.No YA
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x.comHina
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