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Show HN: Yobulk – Open-source CSV importer powered by GPT3

Show HN: Phind.com – Generative AI search engine for developers

Hi HN,<p>Today we're launching phind.com, a developer-focused search engine that uses generative AI to browse the web and answer technical questions, complete with code examples and detailed explanations. It's version 1.0 of what was previously known as Hello (beta.sayhello.so) and has been completely reworked to be more accurate and reliable.<p>Because it's connected to the internet, Phind is always up-to-date and has access to docs, issues, and bugs that ChatGPT hasn't seen. Like ChatGPT, you can ask followup questions. Phind is smart enough to perform a new search and join it with the existing conversation context. We're merging the best of ChatGPT with the best of Google.<p>You're probably wondering how it's different from the new Bing. For one, we don't dumb down a user's query the way that the new Bing does. We feed your question into the model exactly as it was asked, and are laser-focused on providing developers the most detailed and comprehensive explanations to code-related questions. Secondly, we've focused the model on providing answers instead of chatbot small talk. This is one of the major improvements we've made since exiting beta.<p>Phind has the creative abilities to generate code, write essays, and even compose some poems/raps but isn't interested in having a conversation for conversation's sake. It should refuse to state its own opinion and rather provide a comprehensive summary of what it found online. When it isn't sure, it's designed to say so. It's not perfect yet, and misinterprets answers ~5% of the time. An example of Phind's adversarial question answering ability is <a href="https://phind.com/search?q=why+is+replacing+NaCL+with+NaCN+in+a+cooking+recipe+good+for+you">https://phind.com/search?q=why+is+replacing+NaCL+with+NaCN+i...</a>.<p>ChatGPT became useful by learning to generate answers it thinks humans will find helpful, via a technique called Reinforcement Learning from Human Feedback (RLHF). In RLHF, a model generates multiple candidate answers for a given question and a human rates which one is better. The comparison data is then fed back into the model through an algorithm such as PPO. To improve answer quality, we're deploying RLAIF — an improvement over RLHF where the AI itself generates comparison data instead of humans. Generative LLMs have already reached the point where they can review the quality of their own answers as good or better than an average human rater tasked with annotating data for RLHF.<p>We still have a long way to go, but Phind is state-of-the-art at answering complex technical questions and writing intricate guides all while citing its sources. We'd love to hear your feedback.<p>Examples:<p><a href="https://phind.com/search?q=How+to+set+up+a+CI/CD+pipeline+in+GitLab+step-by-step">https://phind.com/search?q=How+to+set+up+a+CI/CD+pipeline+...</a><p><a href="https://phind.com/search?q=how+to+debug+pthread+race+conditions+in+c++">https://phind.com/search?q=how+to+debug+pthread+race+conditi...</a><p><a href="https://phind.com/search?q=example+of+a+c+++semaphore">https://phind.com/search?q=example+of+a+c+++semaphore</a><p><a href="https://phind.com/search?q=What+is+the+best+way+to+deploy+a+transformer+for+inference?">https://phind.com/search?q=What+is+the+best+way+to+deploy+a+...</a><p><a href="https://phind.com/search?q=show+me+when+to+use+defaultdicts+over+regular+dicts">https://phind.com/search?q=show+me+when+to+use+defaultdicts+...</a><p>Discord: <a href="https://discord.gg/qHj8pwYCNg" rel="nofollow">https://discord.gg/qHj8pwYCNg</a>

Show HN: Phind.com – Generative AI search engine for developers

Hi HN,<p>Today we're launching phind.com, a developer-focused search engine that uses generative AI to browse the web and answer technical questions, complete with code examples and detailed explanations. It's version 1.0 of what was previously known as Hello (beta.sayhello.so) and has been completely reworked to be more accurate and reliable.<p>Because it's connected to the internet, Phind is always up-to-date and has access to docs, issues, and bugs that ChatGPT hasn't seen. Like ChatGPT, you can ask followup questions. Phind is smart enough to perform a new search and join it with the existing conversation context. We're merging the best of ChatGPT with the best of Google.<p>You're probably wondering how it's different from the new Bing. For one, we don't dumb down a user's query the way that the new Bing does. We feed your question into the model exactly as it was asked, and are laser-focused on providing developers the most detailed and comprehensive explanations to code-related questions. Secondly, we've focused the model on providing answers instead of chatbot small talk. This is one of the major improvements we've made since exiting beta.<p>Phind has the creative abilities to generate code, write essays, and even compose some poems/raps but isn't interested in having a conversation for conversation's sake. It should refuse to state its own opinion and rather provide a comprehensive summary of what it found online. When it isn't sure, it's designed to say so. It's not perfect yet, and misinterprets answers ~5% of the time. An example of Phind's adversarial question answering ability is <a href="https://phind.com/search?q=why+is+replacing+NaCL+with+NaCN+in+a+cooking+recipe+good+for+you">https://phind.com/search?q=why+is+replacing+NaCL+with+NaCN+i...</a>.<p>ChatGPT became useful by learning to generate answers it thinks humans will find helpful, via a technique called Reinforcement Learning from Human Feedback (RLHF). In RLHF, a model generates multiple candidate answers for a given question and a human rates which one is better. The comparison data is then fed back into the model through an algorithm such as PPO. To improve answer quality, we're deploying RLAIF — an improvement over RLHF where the AI itself generates comparison data instead of humans. Generative LLMs have already reached the point where they can review the quality of their own answers as good or better than an average human rater tasked with annotating data for RLHF.<p>We still have a long way to go, but Phind is state-of-the-art at answering complex technical questions and writing intricate guides all while citing its sources. We'd love to hear your feedback.<p>Examples:<p><a href="https://phind.com/search?q=How+to+set+up+a+CI/CD+pipeline+in+GitLab+step-by-step">https://phind.com/search?q=How+to+set+up+a+CI/CD+pipeline+...</a><p><a href="https://phind.com/search?q=how+to+debug+pthread+race+conditions+in+c++">https://phind.com/search?q=how+to+debug+pthread+race+conditi...</a><p><a href="https://phind.com/search?q=example+of+a+c+++semaphore">https://phind.com/search?q=example+of+a+c+++semaphore</a><p><a href="https://phind.com/search?q=What+is+the+best+way+to+deploy+a+transformer+for+inference?">https://phind.com/search?q=What+is+the+best+way+to+deploy+a+...</a><p><a href="https://phind.com/search?q=show+me+when+to+use+defaultdicts+over+regular+dicts">https://phind.com/search?q=show+me+when+to+use+defaultdicts+...</a><p>Discord: <a href="https://discord.gg/qHj8pwYCNg" rel="nofollow">https://discord.gg/qHj8pwYCNg</a>

Show HN: Phind.com – Generative AI search engine for developers

Hi HN,<p>Today we're launching phind.com, a developer-focused search engine that uses generative AI to browse the web and answer technical questions, complete with code examples and detailed explanations. It's version 1.0 of what was previously known as Hello (beta.sayhello.so) and has been completely reworked to be more accurate and reliable.<p>Because it's connected to the internet, Phind is always up-to-date and has access to docs, issues, and bugs that ChatGPT hasn't seen. Like ChatGPT, you can ask followup questions. Phind is smart enough to perform a new search and join it with the existing conversation context. We're merging the best of ChatGPT with the best of Google.<p>You're probably wondering how it's different from the new Bing. For one, we don't dumb down a user's query the way that the new Bing does. We feed your question into the model exactly as it was asked, and are laser-focused on providing developers the most detailed and comprehensive explanations to code-related questions. Secondly, we've focused the model on providing answers instead of chatbot small talk. This is one of the major improvements we've made since exiting beta.<p>Phind has the creative abilities to generate code, write essays, and even compose some poems/raps but isn't interested in having a conversation for conversation's sake. It should refuse to state its own opinion and rather provide a comprehensive summary of what it found online. When it isn't sure, it's designed to say so. It's not perfect yet, and misinterprets answers ~5% of the time. An example of Phind's adversarial question answering ability is <a href="https://phind.com/search?q=why+is+replacing+NaCL+with+NaCN+in+a+cooking+recipe+good+for+you">https://phind.com/search?q=why+is+replacing+NaCL+with+NaCN+i...</a>.<p>ChatGPT became useful by learning to generate answers it thinks humans will find helpful, via a technique called Reinforcement Learning from Human Feedback (RLHF). In RLHF, a model generates multiple candidate answers for a given question and a human rates which one is better. The comparison data is then fed back into the model through an algorithm such as PPO. To improve answer quality, we're deploying RLAIF — an improvement over RLHF where the AI itself generates comparison data instead of humans. Generative LLMs have already reached the point where they can review the quality of their own answers as good or better than an average human rater tasked with annotating data for RLHF.<p>We still have a long way to go, but Phind is state-of-the-art at answering complex technical questions and writing intricate guides all while citing its sources. We'd love to hear your feedback.<p>Examples:<p><a href="https://phind.com/search?q=How+to+set+up+a+CI/CD+pipeline+in+GitLab+step-by-step">https://phind.com/search?q=How+to+set+up+a+CI/CD+pipeline+...</a><p><a href="https://phind.com/search?q=how+to+debug+pthread+race+conditions+in+c++">https://phind.com/search?q=how+to+debug+pthread+race+conditi...</a><p><a href="https://phind.com/search?q=example+of+a+c+++semaphore">https://phind.com/search?q=example+of+a+c+++semaphore</a><p><a href="https://phind.com/search?q=What+is+the+best+way+to+deploy+a+transformer+for+inference?">https://phind.com/search?q=What+is+the+best+way+to+deploy+a+...</a><p><a href="https://phind.com/search?q=show+me+when+to+use+defaultdicts+over+regular+dicts">https://phind.com/search?q=show+me+when+to+use+defaultdicts+...</a><p>Discord: <a href="https://discord.gg/qHj8pwYCNg" rel="nofollow">https://discord.gg/qHj8pwYCNg</a>

Show HN: Replbuilder, quickly build a Python REPL CLI prompt

`pip install replbuilder`<p>Making a small tool for easier repl building, no more manual argument parsing. Perfect for creating ops tools and other context heavy cli operations.

Show HN: Replbuilder, quickly build a Python REPL CLI prompt

`pip install replbuilder`<p>Making a small tool for easier repl building, no more manual argument parsing. Perfect for creating ops tools and other context heavy cli operations.

Show HN: ProtoCURL, a curl for Protobuf

Show HN: ProtoCURL, a curl for Protobuf

Show HN: Replicad, the Library for CAD in the Browser

Show HN: Replicad, the Library for CAD in the Browser

Show HN: Turn your Pandas dataframe into a Tableau-style UI for visual analysis

Hey, guys. I've just made a plugin which turns your pandas dataframe into a tableau-style component. It allows you to explore the dataframe with easy drag-and-drop UI.<p>You can use PyGWalker in Jupyter, Google Colab, or even Kaggle Notebook to easily explore your data and generate interactive visualizations.<p>PyGWalker (pronounced like "Pig Walker", just for fun) is named as an abbreviation of "Python binding of Graphic Walker".<p>Here are some links to check it out:<p>The Github Repo: <a href="https://github.com/Kanaries/pygwalker">https://github.com/Kanaries/pygwalker</a><p>Use PyGWalker in Kaggle: <a href="https://www.kaggle.com/asmdef/pygwalker-test" rel="nofollow">https://www.kaggle.com/asmdef/pygwalker-test</a><p>Feedback and suggestions are appreciated! Please feel free to try it out and let me know what you think. Thanks for your support!

Show HN: Turn your Pandas dataframe into a Tableau-style UI for visual analysis

Hey, guys. I've just made a plugin which turns your pandas dataframe into a tableau-style component. It allows you to explore the dataframe with easy drag-and-drop UI.<p>You can use PyGWalker in Jupyter, Google Colab, or even Kaggle Notebook to easily explore your data and generate interactive visualizations.<p>PyGWalker (pronounced like "Pig Walker", just for fun) is named as an abbreviation of "Python binding of Graphic Walker".<p>Here are some links to check it out:<p>The Github Repo: <a href="https://github.com/Kanaries/pygwalker">https://github.com/Kanaries/pygwalker</a><p>Use PyGWalker in Kaggle: <a href="https://www.kaggle.com/asmdef/pygwalker-test" rel="nofollow">https://www.kaggle.com/asmdef/pygwalker-test</a><p>Feedback and suggestions are appreciated! Please feel free to try it out and let me know what you think. Thanks for your support!

Show HN: Turn your Pandas dataframe into a Tableau-style UI for visual analysis

Hey, guys. I've just made a plugin which turns your pandas dataframe into a tableau-style component. It allows you to explore the dataframe with easy drag-and-drop UI.<p>You can use PyGWalker in Jupyter, Google Colab, or even Kaggle Notebook to easily explore your data and generate interactive visualizations.<p>PyGWalker (pronounced like "Pig Walker", just for fun) is named as an abbreviation of "Python binding of Graphic Walker".<p>Here are some links to check it out:<p>The Github Repo: <a href="https://github.com/Kanaries/pygwalker">https://github.com/Kanaries/pygwalker</a><p>Use PyGWalker in Kaggle: <a href="https://www.kaggle.com/asmdef/pygwalker-test" rel="nofollow">https://www.kaggle.com/asmdef/pygwalker-test</a><p>Feedback and suggestions are appreciated! Please feel free to try it out and let me know what you think. Thanks for your support!

Show HN: A Web-Based Visual Query Designer for MySQL

I built this web-based developer utility few years ago when I couldn't find any opensource GUI-based query builder for mysql (similar to what MS Access had). This app can be run locally. The online demo uses static hardcoded values. Screencast's link is included in the README file.

Show HN: Can You Hold Your Breath for 40 Seconds?

Show HN: Duplicate Word Finder

Show HN: Duplicate Word Finder

Show HN: Dreamphilic – Frontpage for AI-generated content

Show HN: Dreamphilic – Frontpage for AI-generated content

Show HN: Sora, Personal Publishing Platform

We wanted to create, to express ourselves without being judged either by strangers or some algorithm. We wanted our own space on the internet, where our photos and words would matter.<p>So we started to build an app that can showcase our content, without having to pick a platform. You can use Sora to publish a few different content types.<p>- Blog - Polaroid - Poster - Microblog<p>You can either display them all on your Sora profile as a summary (like mine <a href="https://topcat.sora.city" rel="nofollow">https://topcat.sora.city</a>), or put any of them forward for the world to see.<p>We plan to run this app for a long time and looking for feedback, so let us know what you think! (feedback@sora.city, or link on website)<p>---<p>Our stack today is Node, Typescript, NextJS, atomic CSS, with everything stored on Supabase.