Real problems people complain about online, pulled every morning and scored out of 100. Build, validate, or skip. How scoring works
Also, for DNS, the Customer would really like to make DNS aliases such as **example.ourdomain.beta.tailscale.net** always point to a machine name **staging-1** or something like that. This way, they can easily access the machines.
GitHub5y agoToolAI
Hi, Ted here, creator of Mog.- Mog is a statically typed, compiled, embedded language (think statically typed Lua) designed to be written by LLMs -- the full spec fits in 3,200 tokens. - An AI agent writes a Mog program, compiles it, and dynamically loads it as a plugin, script, or hook. - The host controls exactly which functions a Mog program can call (capability-based permissions), so permissions propagate from agent to agent-written code. - Compiled to native code for low-latency plugin execution -- no interpreter overhead, no JIT, no process startup cost. - The compiler is written in safe Rust so the entire toolchain can be audited for security. Even without a full security audit, Mog is already useful for agents extending themselves with their own code. - MIT licensed, contributions welcome.Motivations for Mog:1. Syntax Only an AI Could Love: Mog is written for AIs to write, so the spec fits easily in context (~3200 tokens), and it's intended to minimize foot-guns to lower the error rate when generating Mog code. This is why Mog has no operator precedence: non-associative operations have to use parentheses, e.g. (a + b) * c. It's also why there's no implicit type coercion, which I've found over the decades to be an annoying source of runtime bugs. There's also less support in Mog for generics, and there's absolutely no support for metaprogramming, macros, or syntactic abstraction.When asking people to write code in a language, these restrictions could be onerous. But LLMs don't care, and the less expressivity you trust them with, the better.2. Capabilities-Based Permissionsl: There's a paradox with existing security models for AI agents. If you give an agent like OpenClaw unfettered access to your data, that's insecure and you'll get pwned. But if you sandbox it, it can't do most of what you want. Worse, if you run scripts the agent wrote, those scripts don't inherit the permissions that constrain th
Hacker News6mo agoToolAI
Iterating and improving AI agents is a painful, manual process requiring multiple updates and testing, hindering development speed.
X6mo agoToolAI
With the buzz that's happening with all the new AI models that get released (what feels like every other week), how are companies running internal AI evals to determine which model is best for their use case?
Hacker News6mo agoToolAI
Developers struggle with the complex process of training, testing, and improving visual AI models. Current tools are fragmented and technical.
YC Graveyard3y agoToolAI
Companies want to deploy AI but need models to adhere to specific business rules, compliance requirements, or output formats. Ensuring AI reliability and constraint adherence is a growing concern.
YC Graveyard1y agoToolAI
As AI development becomes mainstream, engineers struggle with managing model training, deployment, and monitoring with traditional DevOps tools. Specialized AI development infrastructure is needed.
YC Graveyard2y agoToolAI
Enterprises need AI capabilities but can't send sensitive data to external AI services due to compliance and privacy requirements.
YC Graveyard3y agoToolAI
Companies have massive amounts of high-dimensional data like images, text, and audio that they can't easily search or analyze. Converting this to structured, queryable formats is technically challenging.
YC Graveyard7y agoToolAI
Companies want to add ML capabilities to their applications but lack the expertise to build, train, and deploy models themselves. This problem has grown as AI becomes more essential for competitive advantage.
YC Graveyard14y agoToolAI
I was frustrated with photo sharing sites. Apple's iCloud shared albums take 20+ seconds to load, and everything else comes with ads, cumbersome UIs, or social media distractions. I just want to share photos with friends and family: fast, mobile-friendly, distraction-free.So I built DD Photos. You export photos from whatever you already use (Lightroom, Apple Photos, etc.) into folders, run `photogen` (a Go CLI) to resize them to WebP and generate JSON indexes, then deploy the SvelteKit static site anywhere that serves files. Apache, S3, whatever. No server-side code, no database.Built over several weeks with heavy use of Claude Code, which I found genuinely useful for this kind of full-stack project spanning Go, SvelteKit/TypeScript, Apache config, Docker, and Playwright tests. Happy to discuss that experience too.Live example: https://photos.donohoe.info Repo: https://github.com/dougdonohoe/ddphotos
Hacker News6mo agoToolAI
Hi HN, I’m Alberto. I co-founded Didit (https://didit.me) with my identical twin brother Alejandro. We are building a unified identity layer—a single integration that handles KYC, AML, biometrics, authentication, and fraud prevention globally. Here’s a demo: https://www.youtube.com/watch?v=eTdcg7JCc4M&t=7s.Being identical twins, we’ve spent our whole lives dealing with identity confusion, so it is a bit of irony that we ended up building a company to solve it for the internet.Growing up in Barcelona, we spent years working on products where identity issues were a massive pain. We eventually realized that for most engineering teams, "global identity" is a fiction—in reality it is a fragmented mess. You end up stitching together one provider for US driver's licenses, another for NFC chip extraction in Europe, a third for AML screening, a fourth for government database validation in Brazil, a fifth for liveness detection on low-end Android devices, and yet another for biometric authentication and age estimation. Orchestrating these into a cohesive flow while adapting to localized regulations like GDPR or CCPA is a nightmare that makes no sense for most teams to be working on.When we looked at the existing "enterprise" solutions, we were baffled. Most require a three-week sales cycle just to see a single page of documentation. Pricing is hidden behind "Contact Us" buttons, and the products themselves are often bloated legacy systems with high latency and abysmal accuracy.We also noticed a recurring pattern: these tools are frequently optimized only for the latest iOS hardware, performing poorly on the mid-range or older Android devices that make up a huge percentage of the market. This results in a "leaky" funnel where legitimate users drop off due to technical friction and fraud goes undetected because data points are spread across disparate systems. Also, these systems are expensive, often requi
Hacker News6mo agoToolAI
Zero dependencies. No external databases. Single binary. Just deploy and go. I needed something that would allow for real-time monitoring, and installation is as simple as dropping a single file and running it. That's exactly what Kula is. Kula is the Polish word for "ball," as in "crystal ball." The project is in constant development, but I'm already using it on multiple servers in production. It still has some rough edges and needs to mature, but I wanted to share it with the world now—perhaps someone else will find it useful and be willing to help me develop it by testing or providing feedback. Cheers! Github: https://github.com/c0m4r/kula
Hacker News6mo agoToolAI
I am exploring ways to work with my PC that doesnt involve always sitting at a desk and typing with hands like a cave man.Testing out using Wispr Flow and similar voice inputs -- seems to work fine for some use cases.I also place the laptop on a treadmill sometimes and try to to get some research / browsing / work done. Mouse (trackball) and typing are the current weakest link.are there decent handheld input gadgets that allow simple trackpad / click / scroll up&down / next&previous type of navigation and a push-to-talk voice input? I am looking at cheap remotes for FireTV stick and other streaming boxes that seem to have voice input -- anyway one could hack one of those to do our bidding and pair with a PC?
Hacker News6mo agoToolAI
Companies need tools to manage, monitor, and deploy their AI applications with proper governance and cost controls.
YC Graveyard4y agoToolAI
Companies deploying AI models need tools to evaluate quality, detect bias, and ensure consistent performance. Manual testing doesn't scale for AI applications.
YC Graveyard3y agoToolAI
Users want Google-style AI overviews for their own data and websites. Companies need to add intelligent search to their products.
YC Graveyard3y agoToolAI
Companies wanting to fine-tune AI models struggle with data preparation, cleaning, and curation without coding expertise.
YC Graveyard4y agoToolAI
Companies need large datasets to train computer vision models but collecting real-world data is expensive, time-consuming, and often privacy-sensitive. Synthetic data can solve this bottleneck.
YC Graveyard6y agoToolAI