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Show HN: We’re open-sourcing our session replay tool
Hey HN! We’re open-sourcing highlight.io (<a href="https://github.com/highlight/highlight">https://github.com/highlight/highlight</a>), a session replay and error monitoring tool. Highlight.io gives you a high-precision video-like replay of what users are doing when an error or exception occurs in your web app, along with a full-fledged error monitoring experience (similar to bugsnag, rollbar, etc..).<p>The main value prop of highlight.io is that we help you understand the full context surrounding an error and allow you to drill down to the code path that a user invoked (i.e user clicked button X, sent network request Y, and backend code Z was executed). Some of our customers compare this to a “web debugger” of sorts. A picture of what this looks like in our app is here [1].<p>For some background, when we worked at our previous companies as engineers, we encountered hard-to-reproduce issues spanning across both the frontend and backend. The main issues were (1) if a customer complained about a problem, it was hard to reproduce the issue without asking for a screen-share or jumping on a video call; and (2) when viewing errors caught by tools like BugSnag or Rollbar, understanding the triggered code path required stitching together logs, errors, and trace; all from different sources.<p>Highlight.io is completely open source and written in Go and Typescript. To build the replay capability, we use an open source project called rrweb [2] and have worked closely with their team to add support for features like canvas recording, shadow dom recording, and more [3]. Beyond that, we use the OpenTelemetry spec for our SDKs [4], which has made it pretty straight forward to support several languages, even with our small 4-person engineering team!<p>Our product is completely self-serve at app.highlight.io. Installing it is as easy as a npm/yarn import and installing the backend sdk of your choosing. In addition, given the privacy-centric nature of session replay, we also offer the option to self-host [5].
Highlight.io currently makes money off of our hosted offering, and our self-hosted deployment is completely free. We’re also toying with the idea of an “enterprise” self-hosted deployment, similar to gitlab’s billing model, and thoughts from the community on this front would be appreciated!<p>And as far as what’s next for us: Our customers are asking to render logs and traces on a highlight.io session (and vice versa), and we’re excited to be going deeper into a developer’s debugging stack. The long term goal is to build a platform that connects replay, errors, logs and more so that engineers can “playback” the full state of a web application.<p>Overall, we’re quite new to the open source scene and would love the HN community to share their feedback on what we’re building. If anyone has opinions on where we’re going, or what they’d like to see in an open source monitoring product, we’re all ears.
Check us out at highlight.io and at github.com/highlight/highlight to give us a shot.<p>[1]: <a href="https://www.highlight.io/docs/getting-started/frontend-backend-mapping">https://www.highlight.io/docs/getting-started/frontend-backe...</a><p>[2]: <a href="https://github.com/rrweb-io/rrweb">https://github.com/rrweb-io/rrweb</a><p>[3]: <a href="https://highlight.io/docs/general/product-features/session-replay/overview">https://highlight.io/docs/general/product-features/session-r...</a><p>[4]: <a href="https://opentelemetry.io/docs" rel="nofollow">https://opentelemetry.io/docs</a><p>[5]: <a href="https://www.highlight.io/docs/general/company/open-source/self-host-hobby">https://www.highlight.io/docs/general/company/open-source/se...</a>
Show HN: AskHN
Show HN: AskHN
Show HN: AskHN
Show HN: QuestDB with Python, Pandas and SQL in a Jupyter notebook – no install
Show HN: Gargantuan Takeout Rocket – Google Takeout Transloader to Azure
Been broken for 4 months, just got back to fixing it and validating. Figured I'll repost this.<p>Gargantuan Takeout Rocket (GTR) is a toolkit to make the pain of backing up a Google account to somewhere that's not Google a lot less. At the moment the only destination supported is Azure.<p>It's a guide, a browser extension, a Cloudflare worker to deploy, and Azure storage to configure. This sounds like buzzword creep, but believe me, every piece is extremely important.<p>It's very cheap to run/serverless. You can backup a Google account at about $1/TB.<p>Compared to renting a VPS to do this, it's much more pleasant. You aren't juggling strange URLs, needing big beefy boxes to buffer large data, or trying to login to Google or pass URLs through a VPS. Unfortunately, not everything about the procedure can be automated. But whatever can be, is.<p>It's <i>very</i> fast. 1GB/s is the stable default and recommended speed. However, you can have about 3 of these going at a time for about 3GB/s+ overall. This trick is accomplished by making Azure download from Google to a file block, a unique API not seen in S3 or S3-like object storage.<p>Unfortunately, Azure has URL handling bugs and only supports HTTP 1.1, greatly limiting parallelism. We can use Cloudflare Workers to work around these issues.<p>I use GTR myself with a scheduled Google Takeout every two months to backup 1.5TB of data from Google. This can be photos, YouTube videos, etc. I can finish my backups to safe non-Google storage in 15 minutes after I get an email from Google that my Takeout is ready to be downloaded.<p>Unfortunately the only destination is currently Azure. There's also no encryption support. And also Cloudflare is involved. That said, if you're fine with this, this is a fine way to backup a Google and Youtube account as-is.
Show HN: Gargantuan Takeout Rocket – Google Takeout Transloader to Azure
Been broken for 4 months, just got back to fixing it and validating. Figured I'll repost this.<p>Gargantuan Takeout Rocket (GTR) is a toolkit to make the pain of backing up a Google account to somewhere that's not Google a lot less. At the moment the only destination supported is Azure.<p>It's a guide, a browser extension, a Cloudflare worker to deploy, and Azure storage to configure. This sounds like buzzword creep, but believe me, every piece is extremely important.<p>It's very cheap to run/serverless. You can backup a Google account at about $1/TB.<p>Compared to renting a VPS to do this, it's much more pleasant. You aren't juggling strange URLs, needing big beefy boxes to buffer large data, or trying to login to Google or pass URLs through a VPS. Unfortunately, not everything about the procedure can be automated. But whatever can be, is.<p>It's <i>very</i> fast. 1GB/s is the stable default and recommended speed. However, you can have about 3 of these going at a time for about 3GB/s+ overall. This trick is accomplished by making Azure download from Google to a file block, a unique API not seen in S3 or S3-like object storage.<p>Unfortunately, Azure has URL handling bugs and only supports HTTP 1.1, greatly limiting parallelism. We can use Cloudflare Workers to work around these issues.<p>I use GTR myself with a scheduled Google Takeout every two months to backup 1.5TB of data from Google. This can be photos, YouTube videos, etc. I can finish my backups to safe non-Google storage in 15 minutes after I get an email from Google that my Takeout is ready to be downloaded.<p>Unfortunately the only destination is currently Azure. There's also no encryption support. And also Cloudflare is involved. That said, if you're fine with this, this is a fine way to backup a Google and Youtube account as-is.
Show HN: Planlike.pro – New Estimating Tool
Hey folks, want to share the project I've been working on for past few years. It's a project estimation tool which can be applied to pretty much any project, not only software development, but any where you'd want to know cost or time it takes.<p>Core features:<p>* Project resources such as engineer, or anybody/anything that you need to include into project<p>* PDF Export<p>* Easy features management including drag & drop<p>* Sorting/filtering/search<p>* Projects sharing(share with your client via link)
Show HN: Planlike.pro – New Estimating Tool
Hey folks, want to share the project I've been working on for past few years. It's a project estimation tool which can be applied to pretty much any project, not only software development, but any where you'd want to know cost or time it takes.<p>Core features:<p>* Project resources such as engineer, or anybody/anything that you need to include into project<p>* PDF Export<p>* Easy features management including drag & drop<p>* Sorting/filtering/search<p>* Projects sharing(share with your client via link)
Show HN: Yobulk – Open-source CSV importer powered by GPT3
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