The graveyard of good ideas
Solutions that were tried, and what stopped them.
Patents that were rejected or abandoned, products that shut down, projects that went quiet. Borrow the idea, avoid the dead end.
2,500 solutions
- startupShut down2024
Show HN: Peerdb Streams – Simple, native Postgres change data capture
Hello HN, I am Sai Srirampur, one of the Co-founders of PeerDB. ( https://github.com/PeerDB-io/peerdb ). We spent the past 7 months building a solid experience to replicate data from Postgres to data warehouses. Now we're expanding to queues. PeerDB Streams provides a simple and native way to replicate changes as they happen in Postgres to Queues (Kafka, Redpanda, Google PubSub, etc). We use Postgres logical decoding to enable Change Data Capture (CDC). Blog post here: https://blog.peerdb.io/peerdb-streams-simple-native-postgres... . 10-min quickstart here: https://docs.peerdb.io/quickstart/streams-quickstart . We chose queues as many users found that existing tools are complex. Debezium is the most used tool for this use-case. It has large production usage. However, a common pain point among our users is that it has a significa
Why it failed: Hello HN, I am Sai Srirampur, one of the Co-founders of PeerDB. ( https://github.com/PeerDB-io/peerdb ). We spent the past 7 months building a solid experience to replicate data from Postgres to data warehouses. Now we're expanding to queues. PeerDB Strea
saisrirampur
- startupShut down2024
Show HN: An open-source, local-first Webflow for your own app
Hey HN, I’m Kiet, and I’m one of the co-founders of Onlook – an open-sourced desktop app that lets you visually edit your locally running React app, then write your changes back to code in real time. I posted the repo a few months ago [1] when it was just 2 weeks old. Since then, we’ve made some big changes/improvements. I wanted to share some of the updates we’ve made and add more technical details. Here are the three big ones: • Inserting new elements - Draw elements in the live page like a design tool and write them back to code. • Component detection - Detect when an element is a re-used component and find its usages. • DOM tree representation - A layers panel similar to the Chrome devtool or Figma. Technical details [2]: Visual editing - Onlook is technically a browser that points to your localhost running the app. It can manipulate the DOM like a Chrome Devtool, and all these
Why it failed: Hey HN, I’m Kiet, and I’m one of the co-founders of Onlook – an open-sourced desktop app that lets you visually edit your locally running React app, then write your changes back to code in real time. I posted the repo a few months ago [1] when it was just 2 weeks old. Since then,
hoakiet98
- startupShut down2024
Ask HN: Projects You Thought Were Cool but Failed Miserably – What Happened?
Hey HN community, I'm here to spark a discussion on a topic that, I believe, many of us have encountered but might not often talk about: projects that we were excited about and believed in, but that ended up failing miserably after release. To kick things off, I want to share my own experience with a project called interfAIce. It's a Java/Kotlin library that allows developers to access Large Language Models (LLMs) by defining interfaces. The library automatically generates proxies that query the OpenAI API and formats the results into the defined return type data. I thought it was super cool at the time of development. Despite my enthusiasm, my library never gained the attention I hoped for after its release. Reflecting on it, I believe the primary reason might be the mismatch between the technology stacks used by Java/Kotlin developers, who are mostly in server/
Why it failed: Hey HN community, I'm here to spark a discussion on a topic that, I believe, many of us have encountered but might not often talk about: projects that we were excited about and believed in, but that ended up failing miserably after release. To kick things off, I want to shar
mscheong
- startupShut down2024
Show HN: Route your prompts to the best LLM
Hey HN, we've just finished building a dynamic router for LLMs, which takes each prompt and sends it to the most appropriate model and provider. We'd love to know what you think! Here is a quick(ish) screen-recroding explaining how it works: https://youtu.be/ZpY6SIkBosE Best results when training a custom router on your own prompt data: https://youtu.be/9JYqNbIEac0 The router balances user preferences for quality, speed and cost. The end result is higher quality and faster LLM responses at lower cost. The quality for each candidate LLM is predicted ahead of time using a neural scoring function, which is a BERT-like architecture conditioned on the prompt and a latent representation of the LLM being scored. The different LLMs are queried across the batch dimension, with the neural scoring architecture taking a single latent representation of the LLM
Why it failed: Hey HN, we've just finished building a dynamic router for LLMs, which takes each prompt and sends it to the most appropriate model and provider. We'd love to know what you think! Here is a quick(ish) screen-recroding explaining how it works: https://youtu.be&#
danlenton
- startupShut down2024
We Built a Tool to Hack Our Own AI: Lessons Learned Securing Chatbots/Voicebots
Hey HN, We’ve been working in-house on a platform that tests the security of chatbots and voicebots by intentionally trying to break them. As AI-driven bots become more prevalent across sectors like customer service, healthcare, and finance, ensuring they are secure from exploitation is critical. Many companies focus on training their AI to perform well but often overlook the necessity of breaking them to identify vulnerabilities—essential to ensuring their robustness in the real world. Why We Built This: We realized how easily AI models could be manipulated through adversarial inputs and social engineering tactics. With the rise of chatbots and voicebots in sensitive areas, traditional testing methods fell short. What We Did: We developed an in-house platform (code named RedOps) that simulates real-world attacks on chatbots and voicebots, including: 1. Contextual Manipulation: Testing h
Why it failed: Hey HN, We’ve been working in-house on a platform that tests the security of chatbots and voicebots by intentionally trying to break them. As AI-driven bots become more prevalent across sectors like customer service, healthcare, and finance, ensuring they are secure from exploita
titusblair
- startupShut down2024
Show HN: Neosync – Open-Source Data Anonymization for Postgres and MySQL
Hey HN, we're Evis and Nick and we're excited to be launching Neosync ( https://www.github.com/nucleuscloud/neosync ). Neosync is an open source platform that helps developers anonymize production data, generate synthetic data and sync it across their environments for better testing, debugging and developer experience. Most developers and teams have some version of a database seed script that creates some mock data for their local and stage databases. The problem is that production data is messy and it’s very difficult to replicate that with mock data. This causes two big problems for developers. The first problem is that features seem to work locally/stage but have bugs and edge cases in production because the seed data you used to develop against was not representative of production data. The second problem we saw was that debugging production errors
Why it failed: Hey HN, we're Evis and Nick and we're excited to be launching Neosync ( https://www.github.com/nucleuscloud/neosync ). Neosync is an open source platform that helps developers anonymize production data, generate synthetic data and sync it across thei
edrenova
- startupShut down2024
Postgres.new: In-browser Postgres with an AI interface
hey HN, supabase ceo here This is a new service that we're experimenting with that uses PGLite[0], a WASM build of Postgres that runs in the browser. You might remember an earlier WASM build[1] that was around ~30MB. The Electric team [2] have gone one step further and created a complete build of Postgres that’s under 3MB. Their implementation is technically interesting. Postgres is normally multi-process - each client connection is handed to a child process by the postmaster process. In WASM there’s limited/no support for process forking and threads. Fortunately, Postgres has a relatively unknown built-in “single user mode” [3] primarily designed for bootstrapping a new database and disaster recovery. Single-user mode only supports a minimal cancel REPL, so PGlite adds wire-protocol support which enables parametrised queries etc. We have created https://postgres.new
Why it failed: hey HN, supabase ceo here This is a new service that we're experimenting with that uses PGLite[0], a WASM build of Postgres that runs in the browser. You might remember an earlier WASM build[1] that was around ~30MB. The Electric team [2] have gone one step further and creat
kiwicopple
- startupShut down2024
Launch HN: GPT Driver (YC S21) – End-to-end app testing in natural language
Hey HN, we are Chris and Chris from MobileBoost ( https://mobileboost.io/ ). We’re building GPT Driver, an AI-native approach to create and execute end-to-end (E2E) tests on mobile applications. Our solution allows teams to define tests in natural language and prevents test flakiness by taking a visual approach paired with LLM (Large Language Model) reasoning. This helps achieve E2E test coverage with a fraction of the usual effort. You can watch a brief product walkthrough here: https://www.youtube.com/watch?v=5-Ge2fqdlxc In terms of trying the product out: since the service is resource-intensive (we provide hosted virtual/real phone instances), we don't currently have a playground available. However, you can see some examples here https://mobileboost.io/showcases and book a demo of GPT Driver testing your app through our website. W
Why it failed: Hey HN, we are Chris and Chris from MobileBoost ( https://mobileboost.io/ ). We’re building GPT Driver, an AI-native approach to create and execute end-to-end (E2E) tests on mobile applications. Our solution allows teams to define tests in natural language and prev
cschiller
- startupShut down2024
Show HN: I created an app for you to be a more unpredictable romantic partner
Hi All! Love Fuel aims to make you a romantic partner that is full of surprises. A partner that is unpredictable, in a fun and exciting way. The app does this, by giving you +450 surprise-ideas and by being a tool to plan actions. As a happily married man, I didn't understand why there was no apps for already happy couples. Love Fuel focuses on excitement; not therapy; not emotional topics; not reconnecting. One key feature is the reminders. As a technical solo-entrepreneur and married man, I understand we all get distracted sometimes, but that shouldn’t cause problems. Love Fuel has a hidden reminder system to nudge you to surprise your partner and shift your focus to what matters. Please also feel free to check out PAS 1.0, our custom Personality Assessment AI-System. Its goal is simple, analyses you and your partner, and then provide personalized suggestions based on personality
Why it failed: Hi All! Love Fuel aims to make you a romantic partner that is full of surprises. A partner that is unpredictable, in a fun and exciting way. The app does this, by giving you +450 surprise-ideas and by being a tool to plan actions. As a happily married man, I didn't understan
Joakim_Habekost
- startupShut down2024
Launch HN: FlyCode (YC S22) – Stop losing revenue due to failed payments
Hi HN community, we are Jake, Tzachi and Etai, co-founders of FlyCode ( https://www.flycode.com ). FlyCode makes it easy for subscription-based companies to recover lost revenue due to failed payments and involuntary churn - a major hidden revenue killer for b2b & b2c SaaS merchants and dtc subscription brands. In previous roles, we led payments teams at enterprises and startups, where we built payment recovery processes and optimized billing systems. We experienced firsthand how challenging it is to recover failed payments efficiently. Many teams we’ve spoken to view failed payments as an unsolvable black box — a cost of doing business. But when a payment fails, it doesn’t just cost immediate revenue; it significantly impacts the customer’s lifetime value (LTV) and customer experience. Teams are trying to handle it by (1) relying on the basic recovery of their payment prov
Why it failed: Hi HN community, we are Jake, Tzachi and Etai, co-founders of FlyCode ( https://www.flycode.com ). FlyCode makes it easy for subscription-based companies to recover lost revenue due to failed payments and involuntary churn - a major hidden revenue killer for b2b & b
JakeVacovec
- startupShut down2024
Launch HN: Volta Labs (YC W19) – Easier sample prep for genomics
Hi HN, I’m Udayan Umapathi, founder of Volta Labs ( https://www.voltalabs.com ), a genomics applications company that is using advanced electrowetting technology to solve one of the toughest challenges facing the genomics industry—scalable sample prep. We’ve built a walk-away benchtop sample prep system that comes preloaded with apps that require no user programming or optimization, enabling labs to maximize resources, scale sample throughput, and reduce risks related to manual handling. I filmed a quick video in the lab if you want to see what it looks like IRL: https://vimeo.com/935960826/d0efdf3f14 . Sample prep is the process of going from raw biological samples to sequenceable molecules. The process typically involves isolating nucleic acids from samples like blood/cells, breaking up these nucleic acids into small pieces, and adding barcodes at a m
Why it failed: Hi HN, I’m Udayan Umapathi, founder of Volta Labs ( https://www.voltalabs.com ), a genomics applications company that is using advanced electrowetting technology to solve one of the toughest challenges facing the genomics industry—scalable sample prep. We’ve built a wal
perceptron
- startupShut down2024
Show HN: Airbyte 1.0, Marketplace, AI Assist, GenAI Support and Enterprise GA
Hi HN friends! We can hardly believe it’s been almost four years since our original HN launch ( https://news.ycombinator.com/item?id=25917403 ). What started as a small project has grown way beyond what we imagined, with over 170,000 deployments and 7,000 companies using Airbyte daily. When we started Airbyte, our mission was simple (though not easy): to solve data movement once and for all. Today feels like a big step toward that goal with the release of Airbyte 1.0 ( https://airbyte.com/v1 ). Reaching this milestone wasn’t a solo effort. It’s taken an incredible amount of work from the whole community and the feedback we’ve received from many of you along the way. We had three goals to reach 1.0: - Broad deployments to cover all major use cases, supported by over 1,200 community contributions. - Reliability and performance improvements (this has been a hug
Why it failed: Hi HN friends! We can hardly believe it’s been almost four years since our original HN launch ( https://news.ycombinator.com/item?id=25917403 ). What started as a small project has grown way beyond what we imagined, with over 170,000 deployments and 7,000 companies
bleonard
- startupShut down2024
Launch HN: Okapi (YC W24) – A new, flexible CRM with good UX
Hi HN! We’re Ulysse and Ned from Okapi. We’re making a modern CRM. It's kind of like if Airtable/Notion built Salesforce today. https://okapicrm.com When I was fresh out of college, working for startups, Salesforce was this big mystery to me. It's the perpetual second screen for everyone in sales. They were building this gigantic obelisk downtown. What was this thing? And why did every salesperson I knew seem to live in it all day, and yet hate it so much? Turns out Salesforce is basically PhpMyAdmin for salespeople. It's just basically two things: 1. A really generic database, and a UI for CRUDing your data. 2. An API and ecosystem of integrations. In other words, it's the back-office CRUD app to end all back-office CRUD apps. People call the result a "CRM" (Customer Relationship Management). Salesforce is slow and clunky. And that doesn’t ma
Why it failed: Hi HN! We’re Ulysse and Ned from Okapi. We’re making a modern CRM. It's kind of like if Airtable/Notion built Salesforce today. https://okapicrm.com When I was fresh out of college, working for startups, Salesforce was this big mystery to me. It's the per
ucarion
- startupShut down2024
Launch HN: Marblism (YC W24) – Generate full-stack web apps from a prompt
Hi HN, We are Cyril & Ulric and are building Marblism ( https://marblism.com ), an LLM-based dev platform to generate and iterate on full-stack web apps. Here’s a demo video that goes from a comment on Twitter to a working app in 10 minutes: https://www.youtube.com/watch?v=TapOPO-Gv20 . Marblism started when we realized that much of the code we write for web apps is just slightly modified boilerplate: similar login flows, dashboards, API integrations, CRUD operations, etc. While AI tools are helpful, they fall short in delivering a well-architected codebase. The idea of Marblism is to combine the best of both worlds: a solid boilerplate, customized and enhanced with AI. Here's how it works: Generate your app - Describe your product, and the AI will build your data model. We create a NextJS app with auth, custom CRUDs, permissions, payment, emails. The AI
Why it failed: Hi HN, We are Cyril & Ulric and are building Marblism ( https://marblism.com ), an LLM-based dev platform to generate and iterate on full-stack web apps. Here’s a demo video that goes from a comment on Twitter to a working app in 10 minutes: https://www.yo
umussetu
- startupShut down2024
Show HN: Visualize the entropy of a codebase with a 3D force-directed graph
Hi HN! I'm Gabriel, the author of dep-tree ( https://github.com/gabotechs/dep-tree ), and I wanted to show off this tool and explain why it's being really useful at my current org for dealing with code complexity. I work at a startup where business evolves really fast, and requirements change frequently, so it's easy to end up with big piles of code stacked together without a clear structure, specially with tight deadlines. I made dep-tree [1] to help us maintain a clean code architecture and a logical separation of concerns between parts of the application, which is accomplished by: (1) Visualizing the source files and the dependencies between them using a 3D force-directed graph; and (2) Enforcing some dependency rules that allow/forbid dependencies between different parts of the application. The 3D force-directed graph visualization works like t
Why it failed: Hi HN! I'm Gabriel, the author of dep-tree ( https://github.com/gabotechs/dep-tree ), and I wanted to show off this tool and explain why it's being really useful at my current org for dealing with code complexity. I work at a startup where business e
gabimtme
- startupShut down2024
Launch HN: Firezone (YC W22) – Zero-trust access platform built on WireGuard
Hi HN! I'm Jamil Bou Kheir, founder of Firezone ( https://www.firezone.dev ), a remote access platform that is a replacement for legacy corporate VPNs. Built on WireGuard (a fast, modern VPN protocol), Firezone secures your team’s apps, networks and services using access policies synced with your identity provider. You deploy tiny, self-contained binaries into your infrastructure anywhere you need access, and your workforce uses our client apps to reach the resources they protect. Here’s a demo: https://youtu.be/QEv7dJwKMvo . Historically, the tool used to achieve this has been the corporate VPN. These work off a security model where you authenticate with the perimeter and gain access to the network behind it, which works when most workers are in office and resources on-prem. But as workers go remote and resources move to the cloud, the perimeter blurs, maki
Why it failed: Hi HN! I'm Jamil Bou Kheir, founder of Firezone ( https://www.firezone.dev ), a remote access platform that is a replacement for legacy corporate VPNs. Built on WireGuard (a fast, modern VPN protocol), Firezone secures your team’s apps, networks and services using
jamilbk
- startupShut down2024
Show HN: PDF to Podcast – Convert Any PDF into a Podcast Episode
Hi HN! I'm stoked to share a project I've been working on called PDF to Podcast. It's a free, open-source tool that automatically converts PDF documents into engaging, informative podcast-style audio content using large language models and text-to-speech tech. Inspiration: The idea for this project came from the NotebookLM demo at Google I/O, where they showcased generating audio dialogue from uploaded PDFs and other sources. However, that audio feature hasn't been publicly released yet, and I wanted to challenge myself to build something similar using existing tools and APIs. How it works: The user uploads a PDF The tool extracts the text and feeds it into Google's Gemini Flash language model Gemini Flash generates a natural, engaging podcast dialogue script based on the key information in the document This script is then converted to audio using OpenAI
Why it failed: Hi HN! I'm stoked to share a project I've been working on called PDF to Podcast. It's a free, open-source tool that automatically converts PDF documents into engaging, informative podcast-style audio content using large language models and text-to-speech tech. Insp
knowsuchagency
- startupShut down2024
Show HN: I scraped 200M Shopify products to build a search engine
Hi HN! In December I launched an MVP for Agora here: https://news.ycombinator.com/item?id=38635695 After posting, we got thousands of users and hundreds of comments with valuable feedback from the community. I spent a couple sleepless nights frantically pacing around my room trying to keep the product live and, relatively, performant. After getting some sleep, I got back to work to make the product better. A few updates: 1. We've grown from 25 million to 200 million products on Shopify and WooCommerce. The team at WooCommerce reached out after the HN launch to help us figure out how to index their stores. Similar to Shopify, we found that there’s a public file available for all stores that use Wordpress and WooCommerce at [Base URL]/wp-json/wc/v1/products. For example, the file for Good Works Tractors is available here: https://www.goodwo
Why it failed: Hi HN! In December I launched an MVP for Agora here: https://news.ycombinator.com/item?id=38635695 After posting, we got thousands of users and hundreds of comments with valuable feedback from the community. I spent a couple sleepless nights frantically pacing arou
pencildiver
- startupShut down2024
Show HN: Tips.io – A Tailwind playground with AI, page management, and theming
Hi HN! My name is Nick and this is my fun side project. Please lay it on me. HN can think of Tips.io as a cracked out Tailwind Playground that has page management and amazing AI integration. There are a few core ideas: 1) The HTML is the CMS There are no fields or restrictions. Just hover, click, and start tweaking any HTML. Also, certain elements you click will have special easy edit abilities: - <img> auto creates an uploader, stock photo picker (or HTML) - <video> auto creates an uploader, stock video picker (or HTML) - <svg> auto creates a big icon picker (or HTML) - <div class="prose"> auto creates a WYSIWYG Editor (or HTML) 2) Slices Think of these as just individual HTML sections of a page or lil baby single-file components. They are self-contained and isolated so you drag them around easily. The real power comes from reuse across your pages and l
Why it failed: Hi HN! My name is Nick and this is my fun side project. Please lay it on me. HN can think of Tips.io as a cracked out Tailwind Playground that has page management and amazing AI integration. There are a few core ideas: 1) The HTML is the CMS There are no fields or restrictions. J
TIPSIO
- startupShut down2024
Launch HN: Hamming (YC S24) – Automated Testing for Voice Agents
Hi HN! Sumanyu and Marius here from Hamming ( https://www.hamming.ai ). Hamming lets you automatically test your LLM voice agent. In our interactive demo, you play the role of the voice agent, and our agent will play the role of a difficult end user. We'll then score your performance on the call. Try it here: https://app.hamming.ai/voice-demo (no signup needed). In practice, our agents call your agent! LLM voice agents currently require a lot of iteration and tuning. For example, one of our customers is building an LLM drive-through voice agent for fast food chains. Their KPI is order accuracy. It's crucial for their system to gracefully handle dietary restrictions like allergies and customers who get distracted or otherwise change their minds mid-order. Mistakes in this context could lead to unhappy customers, potential health risks, and financial loss
Why it failed: Hi HN! Sumanyu and Marius here from Hamming ( https://www.hamming.ai ). Hamming lets you automatically test your LLM voice agent. In our interactive demo, you play the role of the voice agent, and our agent will play the role of a difficult end user. We'll then sco
sumanyusharma
- startupShut down2024
Launch HN: CommodityAI (YC W24) – Shipment management for commodity traders
Hi HN! We’re Daniel, Philip, and Kyle, cofounders of CommodityAI ( https://commodityai.io ). We make commodity shipments easy to manage. Commodities are the center of global trade. The food you eat and the coffee you drink all start with agricultural producers. A trader organizes a shipment of it to a receiver near you, who then manufactures and distributes it to your local supermarket or coffee shop. That sounds simple enough, but any shipment involving commodities involves around 200 processes, at least 50 documents, and extensive coordination through emails and phone calls. The amount of paper and processes is staggering. Errors can be catastrophically costly, ending up with lawsuits over millions of dollars. Commodity trading companies allocate 40% of their workforce to logistics and operations. It’s a relationship-focused business. These aren't trading firms with Bloo
Why it failed: Hi HN! We’re Daniel, Philip, and Kyle, cofounders of CommodityAI ( https://commodityai.io ). We make commodity shipments easy to manage. Commodities are the center of global trade. The food you eat and the coffee you drink all start with agricultural producers. A trader
KyleManuel
- startupShut down2024
Launch HN: Thorntale (YC W24) – Presentation software that works with your data
Hi HN! We’re Dori, John, and Ellen from Thorntale https://www.thorntale.com/ , a new tool for making data driven presentations. We make it easier for product, engineering, and data teams to communicate their work. Here’s a video demo: https://youtu.be/yLCIo3jG2GM , and you can try it now at https://app.sandbox.thorntale.com without signing in. Why? Because one of us (the data scientist) kept asking the other (a backend engineer) to move metrics from ClickHouse and CockroachDB, to Snowflake, to Looker, and then to Excel, so that she could make a chart in Excel for the BizOps team to screenshot, and finally stick in Google Slides. Besides being annoying for everyone, this produces inconsistencies and inaccuracies between the actual data and what got presented. We wasted three peoples’ time tracking down queries, going back and forth, and reformatting
Why it failed: Hi HN! We’re Dori, John, and Ellen from Thorntale https://www.thorntale.com/ , a new tool for making data driven presentations. We make it easier for product, engineering, and data teams to communicate their work. Here’s a video demo: https://youtu.be
ellenfkh
- startupShut down2024
Launch HN: Just words (YC W24) – Optimize your product's copy for user growth
Hey, HN! We’re Neha and Kunal, co-founders of Just Words ( https://justwords.ai ). We help companies gain users through product copy optimization across any app surface or webpage, using inferences from past performance data. Here’s a demo video: https://youtu.be/e6PuRzHad7M , and a live playground: https://justwords.ai/live-demo . “Copy” in this context means short-form content such as landing page titles or email subject lines. Small and seemingly insignificant changes to these can lead to massive growth gains. We observed this on many occasions while working at Twitter. Tweaking a push notification copy from “Jack tweeted” to “Jack just Tweeted” brought 800K additional users to Twitter. However, coming up with the copy, testing it, and optimizing different variants across users would take us forever—sometimes months. There was no methodical way
Why it failed: Hey, HN! We’re Neha and Kunal, co-founders of Just Words ( https://justwords.ai ). We help companies gain users through product copy optimization across any app surface or webpage, using inferences from past performance data. Here’s a demo video: https://youtu
nehagetschoice
- startupShut down2024
Show HN: Kubetail – Web-based real-time log viewer for Kubernetes
Hi Everyone! Kubetail is a new project I've been working on. It's a private, real-time log viewer for Kubernetes clusters. You deploy it inside your cluster and access it via a web browser, like the Kubernetes Dashboard. Using kubetail, you can view logs in real-time from multiple Workload containers simultaneously. For example, you can view all the logs from the Pod containers running in a Deployment and the UI will update automatically as the pods come into and out of existence. Kubetail uses your in-cluster Kubernetes API so your logs are always in your possession and it's private by default. Currently you can filter logs based on node properties such as availability zone, CPU architecture or node ID and we have plans for a lot more features coming up. Here's a live demo: https://www.kubetail.com/demo Check it out and let me know what you think! Andr
Why it failed: Hi Everyone! Kubetail is a new project I've been working on. It's a private, real-time log viewer for Kubernetes clusters. You deploy it inside your cluster and access it via a web browser, like the Kubernetes Dashboard. Using kubetail, you can view logs in real-time fr
andres