The best Hacker News stories from Show from the past day
Latest posts:
Show HN: Ente Authenticator – open-source 2FA app with e2ee backups
Show HN: Browser-based robot simulator with Three.js and rapier.js
Show HN: Preevy – Preview Environments Provisioning CLI
Show HN: Vizly – Query and visualize your data in seconds
My friend Sami and I built Vizly, a project that lets you query and visualize your data in seconds<p>It works for any data so you can upload and starting querying/visualizing your dataset right away
Show HN: Vizly – Query and visualize your data in seconds
My friend Sami and I built Vizly, a project that lets you query and visualize your data in seconds<p>It works for any data so you can upload and starting querying/visualizing your dataset right away
Show HN: Guitos, a free open-source budgeting app
Hi HN,
I wanted to share an app I've created recently since it might be useful for you:<p>guitos is a free open-source budgeting app that helps you figure out where your money went and plan your budget ahead of time.<p>It was initially created to replace a spreadsheet I created based on the budgeting advice given on the r/personalfinance subreddits and as an opportunity to learn React.<p>The app stores data in your browser's local storage (IndexedDB). Your private financial data doesn't leave your browser.<p>(If you're wondering what the app's name means: "guitos" is portuguese slang for money/cash. )<p>source code available @ <a href="https://github.com/rare-magma/guitos">https://github.com/rare-magma/guitos</a>
Show HN: Guitos, a free open-source budgeting app
Hi HN,
I wanted to share an app I've created recently since it might be useful for you:<p>guitos is a free open-source budgeting app that helps you figure out where your money went and plan your budget ahead of time.<p>It was initially created to replace a spreadsheet I created based on the budgeting advice given on the r/personalfinance subreddits and as an opportunity to learn React.<p>The app stores data in your browser's local storage (IndexedDB). Your private financial data doesn't leave your browser.<p>(If you're wondering what the app's name means: "guitos" is portuguese slang for money/cash. )<p>source code available @ <a href="https://github.com/rare-magma/guitos">https://github.com/rare-magma/guitos</a>
Show HN: Guitos, a free open-source budgeting app
Hi HN,
I wanted to share an app I've created recently since it might be useful for you:<p>guitos is a free open-source budgeting app that helps you figure out where your money went and plan your budget ahead of time.<p>It was initially created to replace a spreadsheet I created based on the budgeting advice given on the r/personalfinance subreddits and as an opportunity to learn React.<p>The app stores data in your browser's local storage (IndexedDB). Your private financial data doesn't leave your browser.<p>(If you're wondering what the app's name means: "guitos" is portuguese slang for money/cash. )<p>source code available @ <a href="https://github.com/rare-magma/guitos">https://github.com/rare-magma/guitos</a>
Show HN: PineTool – An iOS Companion for the Pinecil
Show HN: PineTool – An iOS Companion for the Pinecil
Show HN: I built a database GUI with ChatGPT integration
Hey there! I’ve been working on DB Pilot for the last couple of months, and I recently added an AI assistant powered by GPT 3.5 to help you write SQL queries tailored to your DB schema.<p>Simply ask what data you are looking for - GPT will figure out which tables to use, how to join them, and then write a query for you.<p>The AI assistant knows which tables and columns exist in your database, meaning it can write queries specific to your schema.<p>Besides that, it doesn't have access to any actual data from your database though, meaning your data doesn't get exposed to OpenAI.
Show HN: I built a database GUI with ChatGPT integration
Hey there! I’ve been working on DB Pilot for the last couple of months, and I recently added an AI assistant powered by GPT 3.5 to help you write SQL queries tailored to your DB schema.<p>Simply ask what data you are looking for - GPT will figure out which tables to use, how to join them, and then write a query for you.<p>The AI assistant knows which tables and columns exist in your database, meaning it can write queries specific to your schema.<p>Besides that, it doesn't have access to any actual data from your database though, meaning your data doesn't get exposed to OpenAI.
Show HN: I built a database GUI with ChatGPT integration
Hey there! I’ve been working on DB Pilot for the last couple of months, and I recently added an AI assistant powered by GPT 3.5 to help you write SQL queries tailored to your DB schema.<p>Simply ask what data you are looking for - GPT will figure out which tables to use, how to join them, and then write a query for you.<p>The AI assistant knows which tables and columns exist in your database, meaning it can write queries specific to your schema.<p>Besides that, it doesn't have access to any actual data from your database though, meaning your data doesn't get exposed to OpenAI.
Show HN: I built a database GUI with ChatGPT integration
Hey there! I’ve been working on DB Pilot for the last couple of months, and I recently added an AI assistant powered by GPT 3.5 to help you write SQL queries tailored to your DB schema.<p>Simply ask what data you are looking for - GPT will figure out which tables to use, how to join them, and then write a query for you.<p>The AI assistant knows which tables and columns exist in your database, meaning it can write queries specific to your schema.<p>Besides that, it doesn't have access to any actual data from your database though, meaning your data doesn't get exposed to OpenAI.
Show HN: PySaaS – Python SaaS starter kit
Hi HN,<p>Recently, I’ve noticed there’s a decently high barrier to entry in developing competitive, full-stack SaaS applications.<p>Beside the standard, boring features that take months to implement, you typically have to know several languages and frameworks, and be familiar with fancy frontend styling classes.<p>I’m working hard right now to solve this problem by building PySaaS- The 100% pure Python SaaS starter kit.<p>PySaaS is a boilerplate Python codebase that takes care of the fundamental components standard to all SaaS applications.<p>The codebase uses the Pynecone web framework to compile your frontend into a NextJS app, so you never have to touch any HTML, CSS, or Javascript. Pynecone is easy to learn, yet fully flexible and powerful enough for advanced use cases. We implement out-of-the-box functionality for secure Firebase user authentication, Lemon Squeezy subscription management (MoR removes a major tax headache), Notion as a headless blog CMS, and more.<p>Our mission is to help developers and founders save months of development time and focus on building unique features, which will in turn provide more opportunities to generate revenue and give value to customers.<p>And easily do it in pure Python! Frontend. Backend. All in Python.<p>To check out the live demo for free, click the link and then the “See Demo” button.<p>Let me know what you think.
Show HN: PySaaS – Python SaaS starter kit
Hi HN,<p>Recently, I’ve noticed there’s a decently high barrier to entry in developing competitive, full-stack SaaS applications.<p>Beside the standard, boring features that take months to implement, you typically have to know several languages and frameworks, and be familiar with fancy frontend styling classes.<p>I’m working hard right now to solve this problem by building PySaaS- The 100% pure Python SaaS starter kit.<p>PySaaS is a boilerplate Python codebase that takes care of the fundamental components standard to all SaaS applications.<p>The codebase uses the Pynecone web framework to compile your frontend into a NextJS app, so you never have to touch any HTML, CSS, or Javascript. Pynecone is easy to learn, yet fully flexible and powerful enough for advanced use cases. We implement out-of-the-box functionality for secure Firebase user authentication, Lemon Squeezy subscription management (MoR removes a major tax headache), Notion as a headless blog CMS, and more.<p>Our mission is to help developers and founders save months of development time and focus on building unique features, which will in turn provide more opportunities to generate revenue and give value to customers.<p>And easily do it in pure Python! Frontend. Backend. All in Python.<p>To check out the live demo for free, click the link and then the “See Demo” button.<p>Let me know what you think.
Show HN: PySaaS – Python SaaS starter kit
Hi HN,<p>Recently, I’ve noticed there’s a decently high barrier to entry in developing competitive, full-stack SaaS applications.<p>Beside the standard, boring features that take months to implement, you typically have to know several languages and frameworks, and be familiar with fancy frontend styling classes.<p>I’m working hard right now to solve this problem by building PySaaS- The 100% pure Python SaaS starter kit.<p>PySaaS is a boilerplate Python codebase that takes care of the fundamental components standard to all SaaS applications.<p>The codebase uses the Pynecone web framework to compile your frontend into a NextJS app, so you never have to touch any HTML, CSS, or Javascript. Pynecone is easy to learn, yet fully flexible and powerful enough for advanced use cases. We implement out-of-the-box functionality for secure Firebase user authentication, Lemon Squeezy subscription management (MoR removes a major tax headache), Notion as a headless blog CMS, and more.<p>Our mission is to help developers and founders save months of development time and focus on building unique features, which will in turn provide more opportunities to generate revenue and give value to customers.<p>And easily do it in pure Python! Frontend. Backend. All in Python.<p>To check out the live demo for free, click the link and then the “See Demo” button.<p>Let me know what you think.
Show HN: EVA – AI-Relational Database System
Hi friends,<p>We are building EVA, an AI-Relational database system with first-class support for deep learning models. Our goal with EVA is to create a platform that supports AI-powered multi-modal database applications operating on structured (tables, feature vectors, etc.) and unstructured data (videos, podcasts, pdf, etc.) with deep learning models. EVA comes with a wide range of models for analyzing unstructured data, including models for object detection, OCR, text summarization, audio speech recognition, and more.<p>The key feature of EVA is its AI-centric query optimizer. This optimizer is designed to speed up AI-powered applications using a collection of optimizations inspired by relational database systems. Two of the most important optimizations are:<p>+ Caching: EVA automatically reuses previous query results (e.g., inference results), eliminating redundant computation and saving you money on inference.<p>+ Predicate Reordering: EVA optimizes the order in which query predicates are evaluated (e.g., running faster, more selective deep learning models first), leading to faster queries.<p>Besides saving money spent on inference, EVA also makes it easier to write SQL queries to set up multi-modal AI pipelines. With EVA, you can quickly integrate your AI models into the database system and seamlessly query structured and unstructured data.<p>We are constantly working on improving EVA and would love to hear your feedback!
Show HN: EVA – AI-Relational Database System
Hi friends,<p>We are building EVA, an AI-Relational database system with first-class support for deep learning models. Our goal with EVA is to create a platform that supports AI-powered multi-modal database applications operating on structured (tables, feature vectors, etc.) and unstructured data (videos, podcasts, pdf, etc.) with deep learning models. EVA comes with a wide range of models for analyzing unstructured data, including models for object detection, OCR, text summarization, audio speech recognition, and more.<p>The key feature of EVA is its AI-centric query optimizer. This optimizer is designed to speed up AI-powered applications using a collection of optimizations inspired by relational database systems. Two of the most important optimizations are:<p>+ Caching: EVA automatically reuses previous query results (e.g., inference results), eliminating redundant computation and saving you money on inference.<p>+ Predicate Reordering: EVA optimizes the order in which query predicates are evaluated (e.g., running faster, more selective deep learning models first), leading to faster queries.<p>Besides saving money spent on inference, EVA also makes it easier to write SQL queries to set up multi-modal AI pipelines. With EVA, you can quickly integrate your AI models into the database system and seamlessly query structured and unstructured data.<p>We are constantly working on improving EVA and would love to hear your feedback!
Show HN: EVA – AI-Relational Database System
Hi friends,<p>We are building EVA, an AI-Relational database system with first-class support for deep learning models. Our goal with EVA is to create a platform that supports AI-powered multi-modal database applications operating on structured (tables, feature vectors, etc.) and unstructured data (videos, podcasts, pdf, etc.) with deep learning models. EVA comes with a wide range of models for analyzing unstructured data, including models for object detection, OCR, text summarization, audio speech recognition, and more.<p>The key feature of EVA is its AI-centric query optimizer. This optimizer is designed to speed up AI-powered applications using a collection of optimizations inspired by relational database systems. Two of the most important optimizations are:<p>+ Caching: EVA automatically reuses previous query results (e.g., inference results), eliminating redundant computation and saving you money on inference.<p>+ Predicate Reordering: EVA optimizes the order in which query predicates are evaluated (e.g., running faster, more selective deep learning models first), leading to faster queries.<p>Besides saving money spent on inference, EVA also makes it easier to write SQL queries to set up multi-modal AI pipelines. With EVA, you can quickly integrate your AI models into the database system and seamlessly query structured and unstructured data.<p>We are constantly working on improving EVA and would love to hear your feedback!