Real problems people complain about online, pulled every morning and scored out of 100. Build, validate, or skip. How scoring works
Manually verifying derivation paths every time for airgapped hardware wallets after security incidents, adding repetitive security steps.
X2mo agoToolFinance
Users want a way to automatically or easily delete their phone number from others' phone books for privacy reasons, as current manual methods or lack of tools leave personal data exposed.
X2mo agoToolProductivity
Tired of manually updating job application spreadsheet after every email, leading to repetitive data entry.
X2mo agoToolHR & Career
Collectors struggle to price Pokemon cards for resale due to fragmented data across grading services, eBay, TCGPlayer. A tool aggregating current market values, rarity ratings, and historical prices helps sellers set fair prices quickly. [Google Search suggestion]
Google Trends2mo agoToolE-CommerceUS
Employees struggle to navigate EPFO's new transfer options and track claim status across portals. A tool that aggregates EPFO updates, explains transfer eligibility, and notifies users of payouts would reduce confusion. [Trending: "epfo provident fund account transfer" with 500+ searches in IN]
Google Trends2mo agoToolFinanceIN
Creating and distributing cannabis-infused beverages to legal markets with proper formulation and regulatory compliance
YC Graveyard8y agoToolConsumer
Hacker News2mo agoToolDev
Hey HN, we’re Shubham & Parth, childhood friends building Agnost AI (https://agnost.ai), product analytics for teams building chat and voice agents.We read production conversations and find behavioral failures like users rageprompting (cursing at the agent), repeatedly rephrasing the same request, correcting the agent, asking for missing features, or leaving after an answer that was technically successful.We have an interactive demo with no signup here: https://app.agnost.ai?demo=trueHere's a demo video: https://www.tella.tv/video/agnost-ai-launch-hn-demo-9haaThe core problem is that chat and voice products do not have the same metrics as web apps. When the product interface is language, clicks and funnels become much less useful. Users also rarely give explicit feedback, and when they do it's usually sugarcoated. I barely type /feedback in Claude or Codex myself. Most users just curse, ask again, correct the agent, or leave. So product engineers get technical visibility from latency, errors, and traces, but still have to guess whether users got what they wanted.We got here after building around agents for the last year and got a couple of founders asking for something like a PostHog for conversations for the AI assistants they were building.We are not trying to be in the observability or evals space. Observability tells you what happened technically. Evals validate cases you already know. We're more on the discovery side like what users wanted, where they got frustrated, what they asked for repeatedly, and what new evals should exist.Teams send us agent conversation messages through SDKs or OTel, optionally with metadata like account, plan, source, organization, etc. We cluster conversations into product-specific intents. Feature requests and bugs are default categories; most other clusters are created dynamically from the customer’s data and evolve over time. You can create your own cluster in plain E
Hacker News2mo agoToolAI
Hacker News2mo agoToolOther
I created a simple CLI that turns a YouTube guitar-lesson video into a PDF of the guitar tab.There are services that transcribe music from Youtube videos into tabs, but they never work well enough for me. Instead I'm taking a simpler approach. It downloads the video, samples frames, uses Claude vision to locate the tab region, crops every frame to that region, de-duplicates the crops by the bar number printed on each line of the score, and stitches the distinct tab lines vertically into a PDF.I didn't test it on a lot of different Youtube videos yet, so problem will arise for sure.
Hacker News2mo agoToolAI
I created an app that compares real-time prices and wait times across Uber, Lyft, Waymo, Tesla Robotaxi, Curb, and Empower. It shows you all ride options in one list, then once you’re ready to book, it deeplinks you to the provider’s app with the route pre-filled.Edit: Here's a demo video: https://www.youtube.com/watch?v=VV8PEAjxwQII reverse-engineered ride-hailing mobile apps to understand how they fetch prices from their servers. You sign in to my app with your ride-hailing accounts, and then my app requests live prices from the same APIs that ride-hailing apps use. Importantly, my app is built using an on-device approach: the app on your phone stores authentication tokens locally and sends network requests directly to each ride-hailing company’s servers. This keeps your accounts private. I wrote a blog post showing network requests sent by my app, which you can verify yourself: https://blog.hackney.app/p/how-hackney-worksThis seems like an obvious app. Why doesn’t it already exist? That’s because most ride-hailing companies don’t offer public APIs for prices and wait times. Uber does offer one, but they prohibit using it for price comparison. When someone built a comparison app using the official API, Uber terminated their API access (https://www.benedelman.org/news-053116). There are apps today that don’t use official APIs, but they run your account tokens through their servers and send price requests server-side.To integrate a ride-hailing provider, my app sends network requests for sign-in, token refresh, ride prices, and ride history (to power a feature that shows you unified ride history across apps and how much you’ve saved on each ride). Some ride-hailing apps implement certificate pinning to prevent you from viewing their network requests, and some communicate with their server using Protobuf, a data format that doesn’t include the original field names. Building an app using this approach is technical
Hacker News2mo agoToolAI
Hacker News2mo agoToolOther
Hacker News2mo agoToolOther
I built FixBugs, an agent that ingests the rich context surrounding production bugs to reproduce them in a sandbox and generate verified fixes. It's available in the form of a self-hosted VSCode extension and as a Github app:VSCode Extension: https://fixbugs.ai/go/vscode-extension - full code and data privacy. - zero data retention models opted out of training. GitHub App: https://fixbugs.ai/go/github-app - we do access your code temporarily. - pick a repo to install FixBugs on. What motivated me to build FixBugs were my years being on-call at Google and VMware. How many hours did I spend gathering logs, traces, reviewing metrics, and reading code only to find that,* Some context was missing.* The bug wasn't reproducible.* The alert was caused by a transient infrastructure issue.Too many. Inefficiency in investigating staging/production bugs has a real cost, and it's paid both by developers and customers.Current capabilities: - Reproduce the bug. - Identify the root cause. - Generate a fix. - Verify the fix. - Review the generated code using multiple AI models to help catch potential regressions. Do try it and let me know what you think!I'd especially love feedback from engineers who work with distributed systems or handle high-volume production bug triage.
Hacker News2mo agoToolAI
Hey HN! I made Orbit, an iOS app that allows you to see the satellites, planets, and constellations above you in AR, on a 2D map, and on a 3D globe. The app includes more than 15,000 objects tracked by CelesTrack, together with their pass predictions, descriptions, and detailed orbital data. A searchable catalog of all objects is also available, as well as a built-in chatbot designed to answer any space-related questions you might have.This is my first published iOS app, so any feedback is greatly appreciated! App Store: https://apps.apple.com/app/id6772174570
Hacker News2mo agoToolAI
Hi all, author here. SX started as a CLI to let developers share skills across AI clients without having to rely on git for storage. This allowed sharing at the Repo/Team/Org and Personal level.However, the more we spoke to users the more we realized that non-technical users were actually using skills more and more but they had no way to share. And there was no way you were going to get your legal team to install and learn git.SX 2.0 is targeting non-technical teams by adding a native Mac, Windows and Linux app. Our vault format was reworked so it can be used directly as a claude or codex plugin. And by storing your vault in Dropbox, Google Drive, iCloud or others you can be up and sharing in under a minute.2.0 also adds an extension system with extensions that manage Skill Evals, LLM de-duping, metics and much more https://github.com/sleuth-io/sx-extensions.It's Apache-2.0 and you can download it here https://github.com/sleuth-io/sx.
Hacker News2mo agoToolAI
Hey everyone, I wrote this tool for inspecting linux signals across proceses
Hacker News2mo agoToolDesign & Creative
Hacker News2mo agoToolDesign & Creative
Users hate being limited to a web-only interface for logging and tracking video games they have played or want to play, similar to how Letterboxd works for movies but without a convenient mobile experience.
X2mo agoToolMedia
DJ users strongly dislike the workflow and limitations of Rekordbox when managing libraries and performing live mixes, leading to desire for modern AI-powered alternatives that integrate seamlessly with existing libraries.
X2mo agoToolMedia