Real problems people complain about online, pulled every morning and scored out of 100. Build, validate, or skip. How scoring works
Builders in the agentic economy need a reliable tool or layer for AI agents to resolve disputes when making autonomous transactions.
X14d agoToolAI
Musicians and AI music users need a tool to upload audio and modify just the genre, keeping the original style, lyrics, and vocals intact (beyond current Suno-like tools).
X15d agoToolAI
Hi HN,I’m Lloyd, one of two founders of RonanRx (https://ronanrx.com/). We are building a vertically integrated pharmaceutical company with software for prescribing, telehealth, compounding, manufacturing, and delivery. We are starting with GLP-1s and peptides.The path to RonanRx is fairly unconventional. During the pandemic, I built one of the largest mask manufacturing factories in the US. We could make a million masks in a day. We converted raw polypropylene pellets into finished pallets of masks.I had a background in software from my YC W10 company, so we took a software approach to building our factory. We used machine learning and computer vision to optimize production. We also vertically integrated almost everything. It worked. We built an efficient manufacturing operation and grew the business to 50 million dollars in revenue. Then people actually stopped caring about masks. Fair enough.Around the same time, I decided to try and lose the weight I had gained while building the factory. I ate nothing but chicken for six months. While this diet got some results, I plateaued. My doctor suggested tirzepatide, a GLP-1 medication.For me, losing weight was only the beginning. "Food noise" was gone. I showed less interest in other compulsive behavior. I stopped scrolling Instagram and quit biting my nails. But that was just the beginning. I was born with a congenital heart defect called aortic stenosis. My whole life doctors told me I'd need open heart surgery in my 40s (I am 45 now). After just 18 months using tirzepatide, my cardiologist’s began to think (and still thinks) my surgery could be pushed back until I am 70 or 80.This was all happening when I was deciding what to work on next. I wanted to keep working on manufacturing. I didn't want to build another product that could be replicated by a frontier model. Pharmaceutical manufacturing was the best combination of digital, physical, biological, and regulatory infrastructure I
Hacker News13d agoToolAI
I'm the developer. I built this because AI-generated conspiracy videos were getting out of control in my own YouTube feed. Weedout is a $1.99 Safari extension for macOS that removes videos YouTube labels “Made with AI” from feed, search, related videos, playlists and Shorts. It uses YouTube's label rather than AI detection, runs locally, and does not catch unlabeled videos.Source for developers who want to fork or build: https://github.com/masteranza/weedout-for-youtubePull requests are not accepted; the repository is for independent forks.
Hacker News14d agoToolAI
Hey HN, I’m Antonio from Nori Robotics (https://norirobotics.com). We build a $1,688 bimanual mobile robot in San Francisco for robotics developers and researchers.I started working on Nori while doing robotics research at Columbia. I was teaching robots through human demonstrations, but getting my hands on affordable hardware was difficult. Most labs have one or two expensive robots, which makes it hard to collect large datasets, run long experiments, or test across several robots.So I built my own. After seven iterations the latest Nori has:* 19 degrees of freedom* Two 7+1 DOF arms with a 1.5 kg payload per arm* A 55 kg telescoping lift* A differential wheeled base* Four 720p, 30 fps RGB cameras* 2D lidar* A dual microphone array with full-duplex voice communication* A 432 Wh battery* A Raspberry Pi 5 with 4 GB RAM (SLAM and safeties are run on board, heavier ACT and VLAs must be run from a computer via LAN or a server via WAN)Getting this under $2,000 was the main engineering challenge. Nori has more than 100 moving and structural parts, so costs add up quickly across actuators, bearings, wiring, power delivery, and assembly. Some main choices we made to get the cost low was using high-ratio servos instead of QDD motors, and using a wheel base instead of legs.We assemble each robot in San Francisco and have designed it to be easy to manufacture and repair (we offer 3D files to print repairs).Our open SDK includes teleoperation and demonstration tools: https://github.com/Nori-Robotics/nori-sdk-pyWe also built a browser-based simulator so you can try it out: https://lab.norirobotics.com/nori/modelWe’ve shipped our first robot and are building the next batch. Eventually, we want people without robotics experience to teach Nori tasks and share them with other owners.Currently the hardware is already capable of basic cleaning tasks, opening drawers, restocking shelves and pouring beers. Here is a video of Nori doing th
Hacker News14d agoToolAI
Users want a specialized app interface for interacting with Claude AI, mirroring the convenience of Codex, to improve daily workflows and accessibility.
X15d agoToolAI
As AI agents become economic actors needing fast, software-speed money movement for compute, data, and services, there's no dedicated on-chain or payment infra to support this new class of actors.
X16d agoToolAI
Users struggle to make AI-generated writing, websites, and photos look authentically human, leading to detectable or low-quality outputs that need manual fixing.
X1mo agoToolAI
Hi HN, we’re Brandon and Kingston, the founders of Hebbian Robotics. We built HFlow (https://github.com/Hebbian-Robotics/hflow), an SDK that turns multimodal recordings from robots and human operators into standardized, quality-checked episodes and queryable dataset manifests. A recording can contain synchronized video, joint states, actions, timestamps, and metadata, and HFlow processes those streams together.Here’s a demo of HFlow in action: https://www.youtube.com/watch?v=xni0GwV-xAwRobotics data pipelines often begin as scripts: one transcodes video, another checks timestamps, another adds labels, and another copies selected recordings into a training set. This works until the corpus grows. Then it becomes difficult to know which code ran, why an episode was excluded, or whether a dataset can be reproduced. The first pain is usually quality control because frozen cameras, missing topics, timestamp drift, and duplicate recordings can quietly enter training data.Brandon first encountered this while training embodied AI models for two-arm industrial cleaning robots. Kingston had run into related problems while building high-throughput infrastructure at Jane Street. Later, while speaking with robotics data providers, we kept seeing teams rebuild similar processing and quality-control infrastructure. We learnt that processing robotics data is itself one of the bottlenecks to improving robotics models.An HFlow pipeline consists of transformations, checks, labels, and enrichments. The SDK exposes them as plain Python functions that receive an episode and return measurements, artifacts, or transformed data. During development, the functions can run in-process. For scheduled corpus processing, HFlow packages the same registered steps as Airflow 3 DAGs, where teams can inspect task status, logs, retries, and reruns.HFlow currently accepts one MCAP file per episode. MCAP (https://mcap.dev/) is an open container format by Fo
Hacker News15d agoToolAI
Hi HN, I'm Kushagra, one of three founders of Almanac, a Hermes with a brain that knows everything about your company.We started our journey with setting up Hermes for our company, thinking it must be easy. We wanted an agent that would know every context about our company, so we could ask questions and get context-appropriate responses to.This started a very annoying and difficult journey. Setting up Hermes, getting it to talk right, building OAuth apps for every connector myself, then feeding it context myself, and ultimately struggling with Hermes's default memory. At the same time, we saw our YC batchmates struggling with the same problem, and we saw an opportunity.So we built Almanac. This is how it works. You sign up, you get a Hermes agent straight out of the box. You have a one-click connect to any account (Gmail, Calendar, Granola, PostHog, etc). You have personal accounts (only accessible by you) and also shared accounts (accessible by everyone in the company). The consequence being I can never see my cofounders' accounts.The “brain” of this agent is wikis. We pull in information from your connected sources, and start organizing this information in two wikis. A personal one, for you, which understands who you are, what your preferences are, the people in your life, and the things going on in your life. The second wiki is a company wiki, which includes what the company is, what you’re working on, what the roadmap is, and what the blockers of the company are. Your agent ultimately has access to these two wikis and the original accounts, which invoke the feeling of “it just knows you.”Here’s a demo: https://www.youtube.com/watch?v=ajXP5PHuK18We're three cofounders, Rohan, Kushagra, and Divit, and we've been friends for 11 years, since studying for the IIT-JEE. We all did Electrical Engineering (Rohan at IIT Delhi, me at IIT Kharagpur, Divit at BITS Pilani, Hyderabad), and Rohan and I later went to Harvard, where this pr
Hacker News15d agoToolAI
Hey HN!I built Typebase, a library that gives you Convex's DX with Supabase's openness.After trying Supabase I liked how fast it is to spin up a DB and auth, but really didn't like using RLS and SQL for authorization. With Convex I loved how your server "lives" in your code, but disliked the DB model and the realtime-first defaults.With Typebase you just write TS files inside a typebase/ folder in your existing repo. You can define your DB tables inside a schema.ts file and export server functions that your frontend calls like local functions, fully typed. Auth is built in.Then one CLI command uploads your server to any of the available providers (Vercel, Cloudflare Workers or Deno Deploy for the servera and Neon for the DB), or generates the code so you can deploy it wherever you want.Built on top of oRPC, Drizzle, and better-auth.Happy to answer any questions or feedback!
Hacker News20d agoToolAI
I've been learning Japanese for a few years and kept running into a similar problem. I'd find a video I wanted to learn from, hear a useful sentence, and then realise that turning that sentence into something I could study later was both time consuming and draining at times.I would end up jumping between a video player, subtitles/transcription, a dictionary, screenshots, audio clips and Anki. So I built SubSmith to bring that workflow together.You can drop a video or audio file into it, generate a transcript locally and then use the transcript alongside the media to:* look up words and sentences * replay individual lines * edit the transcript * save useful sentences with their original context/audio * export them as Anki cardsThe important part for me is that it works with your own media. It isn't tied to a particular streaming service or library, so I can use the random anime episode, podcast, lecture, etc. that I'm actually interested in studying.It's an offline-first desktop app, and transcription happens locally rather than sending the media to a transcription API.I'm sharing it here because I'm now more interested in finding out where this workflow breaks down for other people rather than adding features randomly now that I have solid core/base.For example:* Would you actually save sentences from your own media? * Which part of this process feels like too much work? * Does having the audio/context attached make creating an Anki card more useful? * Would you prefer this to work inside your existing video player/browser? * Is installing a desktop app a significant barrier? * And does requiring an account before starting the free trial make you give up?The current version does require an account to start the trial, and I'm trying to work out whether that's meaningful friction for the people who would actually use this.It's free to try, and I'd particularly appreciate feedback from peop
Hacker News18d agoToolAI
I have been working on Sesame, an open-source password manager that keeps your vault local by default. You don't need an account to create or use a vault, and the hosted service never receives the vault itself. It's still early software and the independent security review isn't finished yet, so I am mainly interested in feedback, testing, and people looking through the code.(Linux support is yet to be released on v0.1.2, but currently is in the works.)
Hacker News18d agoToolAI
Hey HN,I’m Abhishek. I'm building Opslane, an open-source agent that identifies user-facing issues and investigates them. It only creates a PR if it can verify the fix.Demo: https://youtu.be/ccuOTYQMeYg Docs: https://docs.opslane.comAt my last job at Robinhood, we used to do a quarterly bug bash. We would go through our Sentry backlog and try to fix as many of them as possible. We only fixed bugs we knew were reported by customers. We had hundreds of bugs, and Sentry’s default priority levels made no sense. After the bug bash, we would declare bankruptcy - select all remaining bugs and mark them as resolved.This problem has only gotten worse since coding agents have become more prevalent.So I started thinking: what would Sentry look like if it were built in 2026?To me, error trackers have two failure modes:1. False positives: They show you thousands of errors, and you can’t tell the impact on the user2. False negatives: Many user-facing issues don’t throw exceptions, so they go unnoticed.Opslane combines error tracking and session recording. And there is an agent that acts on both. To get started, you install the Opslane SDK. It captures everything the user did: errors, console logs, network requests, and session recordings.Opslane reduces false positives by ranking issues based on how many users are facing a particular issue. It also learns about your product by reading your code and watching your session recordings.False negatives are harder. Opslane reviews session recordings to spot frustration. They look for rage clicks, dead clicks, and abandoned forms.This recently caught a bug in an early customer’s onboarding flow: a dropdown that closed itself when clicked. No exception, no bug report. The recordings showed users clicking it, selecting nothing, and dropping out of onboarding. Opslane flagged it and the team fixed it.Three guiding principles when building Opslane:1. Open Source: Self-host with one Docker Compose file.2.Agent-fi
Hacker News19d agoToolAI
Users find Grok Imagine the worst app after a month of use, with only one successful request despite $29.95 cost and high data usage.
X21d agoToolAI
### Preflight Checklist - [x] I have searched [existing requests](https://github.com/anthropics/claude-code/issues?q=is%3Aissue%20label%3Aenhancement) and this feature hasn't been requested yet - [x] This is a single feature request (not multiple features) ### Problem Statement Claude Desktop currently requires users to sign out and sign back in to switch between different Claude accounts. This creates significant friction for users who maintain separate accounts for work and personal use, or manage multiple organizational accounts. The current workflow requires me to manually sign out, re-enter credentials, and lose my current context every time I need to switch accounts. This interrupts my workflow multiple times per day and makes the desktop app less efficient than using multiple browser profiles. ### Proposed Solution Add native multi-account profile switching to Claude Desktop, similar to how Slack handles workspace switching or how Chrome manages multiple user profiles. The interface should show a profile switcher (e.g., dropdown menu in the top-right corner or keyboard shortcut like Cmd+Shift+]) that allows quick switching between accounts without signing out. There should be a command or setting that allows users to add multiple accounts, with each account maintaining: - Separate conversation history - Individual settings and preferences - Distinct MCP server configurations (if applicable) - Visual indicator showing which account is currently active ### Alternative Solutions I've tried using multiple macOS user profiles, but switching between entire user accounts is too heavyweight and interrupts my entire workflow. Currently I work around this by using Claude Desktop for my work account and claude.ai in a browser for my personal account, but this creates an inconsistent experience and defeats the purpose of having a native desktop app. Other tools like Slack, Discord, and VS Code solve this by allowing multiple workspaces/accounts within a sing
GitHub8mo agoToolAI
I've been working on Polign and built a small prototype around something I've been thinking about with agent memory. I have built a lightweight/stateless vector db + BM25 search which works really well with typed facts and structured queries.It uses your own S3, or GCS bucket as primary storage, and restarting a node is fairly quick.Demo + writeup: https://polign.com/blog-edge-agent-memoryLive search demo: https://demo.polign.comDocs: https://polign.com
Hacker News20d agoToolAI
Hacker News19d agoToolAI
Hi HN, we're the founders of Salem Robotics (https://salemroboticsinc.com). We give existing mobile robots the task-specific intelligence to carry out surveys and physically interactive inspections in hazardous industrial facilities.Here's a video of it running on real robot hardware with a few words from us: https://www.youtube.com/watch?v=U_228h3NE7cWe came to Salem through robotics research at UT Austin and a combined 15 years working in nuclear, including about 10 years developing and deploying autonomous robots at Los Alamos National Laboratory. Over the last five years, we kept running into the same gap: robot hardware had become very capable, but making a robot carry out a complete industrial procedure still required a surprising amount of robotics work and manual intervention.The part that interested us most was manipulation. A nuclear contamination survey, for example, can require taking a "smear": wiping a defined area of a surface so it can be checked for removable radioactive contamination. In an oil, gas, or chemical facility, an LDAR (leak detection and repair) inspection can require moving a detector around a particular valve, flange, or connection. Other inspections require positioning an instrument at a precise location and orientation relative to a pipe or piece of equipment.These are easy tasks to compress into verbs like "wipe", "measure", or "inspect", but considerably harder to make a robot do reliably. A probe might need to remain normal to a surface throughout a path, stay within a narrow offset from a pipe, or trace a region while maintaining a particular end-effector orientation. The planner has to find a feasible motion while respecting the task geometry, manipulator kinematics, joint limits, collisions, and the environment around it.We work down to joint-level control for those interactions. One problem we've spent a lot of time on is generating constrained ma
Hacker News19d agoToolAI
Hi HN, we built an open source model gateway. It's a single place to manage our own self hosted, frontier, and open source models in one place.It’s is rust native, built for concurrency, and implements all the config quirks across models and providers (streaming formats, tool calls, model parameters, rate limits, and different error behavior).The gateway adds under 1 ms for BYOK requests and under 2 ms when Experiential supplies the provider key. It has every major inference provider, and 1000+ models refreshed daily via a codex agent that opens a PR.Compared to other similar projects we’re open source, take no markup, allow you to mix local models with a marketplace, and use your traffic to (opt in) train you a model. Simple routing doesn’t warrant a 10% token markup.The way we do this is given standardized OTel traces, we mine representative real tasks, use text world models to simulate rollouts for various models, apply an LLM judge, and fit a nearest neighbor classifier on top of an embedding of a prompt to decide the optimal model for each request. Usually this can map out a better pareto curve on cost/quality than just calling single models but it’s not perfect.Using these simulations we can also do things like suggesting cache hit optimizations, new model suggestions, and training models.It’s open source, so you can deploy it on your own infrastructure, use our hosted version with 0 markup, or read how we design for maximum availability on our website.
Hacker News19d agoToolAI