Ball: A ball that lives in your dock

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Waymo One is now open to everyone in San Francisco

Show HN: I built a JavaScript-powered flipdisc display

Show HN: From dotenv to dotenvx – better config management

I found a 1-click exploit in South Korea's biggest mobile chat app

Hello HN, we&#x27;re Philip and Louis from Glasskube (<a href="https:&#x2F;&#x2F;github.com&#x2F;glasskube&#x2F;glasskube">https:&#x2F;&#x2F;github.com&#x2F;glasskube&#x2F;glasskube</a>). We&#x27;re working on an open-source package manager for Kubernetes. It&#x27;s an alternative to tools like Helm or Kustomize, primarily focused on making deploying, updating, and configuring Kubernetes packages simpler and a lot faster. Here is a demo video (<a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=aIeTHGWsG2c#t=17s" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=aIeTHGWsG2c#t=17s</a>) with quick start instructions.Most developers working with Kubernetes use Helm, an open-source tool created during a hackathon nine years ago. However, with the rapid growth of Kubernetes packages to over 800 packages on the CNCF landscape today, the prerequisites have changed, and we believe it’s time for a new package manager. Every engineer we talked to has a love-hate relationship with Helm, and we also found ourselves defaulting to Helm despite its shortcomings due to a lack of alternatives.We have spent enough time trying to get Helm to do what we need. From looking for the correct chart, trying to learn how each value affects the components and hand-crafting a schemaless values.yaml file, to debugging the final release if it inevitably fails to install, the experience of using Helm is, for the most part, time consuming and cumbersome.Charts often become more complex, requiring the use of sub-charts. These umbrella charts tend to be even harder to maintain and upgrade, because so many different components are bundled into a single release.We talked to over 100 developers and found that everyone developed their own little workarounds, with some working better than others. We collected the feedback poured everything we learned from that into a new package manager. We want to build something that is as easy to use as Homebrew or npm and make package management on Kubernetes as easy as on every other platform.Some of the features Glasskube already supports areTypesafe package configuration via UI or interactive CLI to inject values from other packages, ConfigMaps, and Secrets.Browse our central package repository so there is no need to look for a Helm repository to find a specific package.All packages are dependency-aware so they can be used and referenced by multiple other packages even across namespaces. We validate the complete dependency tree - So packages get installed in the correct namespace.Preview and perform pending updates to your desired version with a single click of a button. All updates have been tested in the Glasskube test suite before being available in the public repository.Use multiple repositories and publish your own private packages (e.g., your company&#x27;s internal services packages, so all developers will have the up-to-date and easily configured internal services).All features are available via UI or interactive CLI. You can also manage all packages via GitOps.Currently, we are focused on enhancing the user experience, aiming to save engineers as much time as possible. We are still using Helm and Manifests under the hood. However, together with the community, we plan to develop an entirely new packaging and bundling format for all cloud-native packages. This will provide package developers with a straightforward way to define how to install and configure packages, offer simple upgrade paths, and enable us to provide feedback, crash reports, and analytics to every developer working on Kubernetes packages.We also started working on a cloud version. You can pre-signup here in case you are interested: <a href="https:&#x2F;&#x2F;glasskube.cloud" rel="nofollow">https:&#x2F;&#x2F;glasskube.cloud</a>We&#x27;d greatly appreciate any feedback you have and hope you get the chance to try out Glasskube.

Show HN: Glasskube – Open Source Kubernetes Package Manager, alternative to Helm

Hey HN, we’re Matt and Will, the co-founders of Triplit (<a href="https:&#x2F;&#x2F;www.triplit.dev">https:&#x2F;&#x2F;www.triplit.dev</a>). Triplit is an open-source database (<a href="https:&#x2F;&#x2F;github.com&#x2F;aspen-cloud&#x2F;triplit">https:&#x2F;&#x2F;github.com&#x2F;aspen-cloud&#x2F;triplit</a>) that combines a server-side database, client-side cache, and a sync engine into one cohesive product. You can try it out with a new project by running:<pre><code> (npm|bun|yarn) create triplit-app
</code></pre>
As a team, we’ve worked on several projects that aspired to the user experience of Linear or Superhuman, where every interaction feels instant like a native app while still having the collaborative and syncing features we expect from the web. Delivering this level of UX was incredibly challenging. In each app we built, we had to implement a local caching strategy, keep the cache up to date with optimistic writes, individually handle retries and rollbacks from failures, and do a lot of codegen to get Typescript to work properly. This was spread across multiple libraries and infrastructure providers and required constant maintenance.We finally decided to build the system we always wanted. Triplit enables your app to work offline and sync in real-time over websockets with an enjoyable developer experience.Triplit lets you (1) define your schema in Typescript and simply push to the server without writing migration files; (2) write queries that automatically update in real-time to both remote changes from the server and optimistic local mutations on the client—with complete Typescript types; (3) run the whole stack locally without having to run a bunch of Docker containers.One interesting challenge of building a system like this is enabling partial replication and incremental query evaluation. In order to make loading times as fast as possible, Triplit will only fetch the minimal required data from the server to fulfill a specific query and then send granular updates to that client. This differs from other systems which either sync all of a user’s data (too slow for web apps) or repeatedly fetch the query to simulate a subscription (which bogs down your database and network bandwidth).If you’re familiar with the complexity of cache-invalidation and syncing, you’ll know that Triplit is operating firmly in the distributed systems space. We did a lot of research and settled on a local first approach that uses a fairly simple CRDT (conflict-free replicated data type) that allows each client to work offline and guarantees that they will converge to a consistent state when syncing. It works by treating each attribute of an entity as a last writer wins register. Compared to more complex strategies, this approach ends up being faster and doesn’t require additional logic to handle conflicting edits between concurrent writers. It’s similar to the strategy Figma uses for their collaborative editor.You can add Triplit to an existing project by installing the client NPM package. You may self-host the Triplit Server or pay us to manage an instance for you. One cool part is that whether you choose to self-host or deploy on Triplit Cloud, you can still use our Dashboard to configure your database or interactively manage your data in the Triplit Console, a spreadsheet-like GUI.In the future, we plan to add APIs for authentication, file uploads, and presence to create a Supabase&#x2F;Firebase-like experience.You can get started by going to <a href="https:&#x2F;&#x2F;triplit.dev">https:&#x2F;&#x2F;triplit.dev</a> or find us on Github <a href="https:&#x2F;&#x2F;github.com&#x2F;aspen-cloud&#x2F;triplit">https:&#x2F;&#x2F;github.com&#x2F;aspen-cloud&#x2F;triplit</a>. Thanks for checking us out and we are looking forward to your feedback in the comments!

Show HN: Triplit – Open-source syncing database that runs on server and client

HyperCard Simulator

Fixing QuickLook (2023)

A reckless introduction to Hindley-Milner type inference (2019)

A brief introduction to interval arithmetic

The album art of Phil Hartman(n) (2022)

Does a cave beneath Pembroke Castle hold key to fate of early Britons?

Stalin, Eisenstein, Walt Disney and Ivan the Terrible (1992)

Diagraming sentences in the 19th century

Show HN: SmokeScanner – Using cigarette price arbitrage to find free flights

Convert your vector embeddings into a set of questions and their ideal responses. Use this dataset to test your LLM and catch failures caused by prompt or RAG updates.Get started in 3 lines of code:```pip3 install fiddlecube``````from fiddlecube import FiddleCubefc = FiddleCube(api_key=&quot;&lt;api-key&gt;&quot;)
dataset = fc.generate(
 [
 &quot;The cat did not want to be petted.&quot;,
 &quot;The cat was not happy with the owner&#x27;s behavior.&quot;,
 ],
 10,
)
dataset```Generate your API key: <a href="https:&#x2F;&#x2F;dashboard.fiddlecube.ai&#x2F;api-key">https:&#x2F;&#x2F;dashboard.fiddlecube.ai&#x2F;api-key</a># Ideal QnA datasets for testing, eval and training LLMsTesting, evaluation or training LLMs requires an ideal QnA dataset aka the golden dataset.This dataset needs to be diverse, covering a wide range of queries with accurate responses.Creating such a dataset takes significant manual effort.As the prompt or RAG contexts are updated, which is nearly all the time for early applications, the dataset needs to be updated to match.# FiddleCube generates ideal QnA from vector embeddings- The questions cover the entire RAG knowledge corpus.- Complex reasoning, safety alignment and 5 other question types are generated.- Filtered for correctness, context relevance and style.- Auto-updated with prompt and RAG updates.

Show HN: FiddleCube – Generate Q&A to test your LLM

The Alternate Reality Kit (1987) [video]

First Class Contexts – Rye Language