Real problems people complain about online, pulled every morning and scored out of 100. Build, validate, or skip. How scoring works
Beginners seek effective, structured learning resources or tools specifically for 3D modeling software like Blender to start their creative projects.
X1mo agoToolDesign & Creative
People seek a dedicated tracking, rating, and discovery platform specifically for television shows, similar to existing movie-focused tools.
X1mo agoToolMedia
Workers with OCD face draining compulsions that waste massive amounts of time on repetitive actions, slowing them down in timed, fast-paced roles and risking job performance.
X1mo agoToolPsychology
Employees waste precious focus time manually performing repetitive admin tasks every day instead of working with leverage through automation.
X1mo agoToolBusiness
AI cannot reliably handle repetitive tasks requiring great detail and precision, leading to poor results and forcing manual work instead.
X1mo agoToolAI
Language schools and individuals must handle complex visa renewal paperwork manually because systems are too backed up to automate, burying people in repetitive admin tasks.
X1mo agoToolImmigration
Users want a simple way to check real-time condition of nearby outdoor basketball courts to avoid wasted trips due to wet or unusable surfaces.
X1mo agoToolSport & Fitness
Developers are bottlenecked by the time required to manually review AI-generated code, as AI endlessly finds problems even in good codebases, wasting significant time instead of speeding up shipping.
X1mo agoToolDev
Consumers want cable alternatives but lack clear guidance on live TV streaming options, costs, and channel availability. An interactive tool mapping channels-to-services and price comparison solves decision paralysis. [Google Search suggestion]
Google Trends1mo agoToolProductivityUS
Designers seeking Figma alternatives (Penpot, Excalidraw, etc.) face scattered resources. A curated directory with feature comparison, pricing, learning curves, and community reviews helps navigate fragmented options. [Google Search suggestion]
Google Trends1mo agoToolDesign & CreativeUS
Users struggle to find comparable nicotine alternatives (Zyn vs pouches vs lozenges). A comparison tool with pricing, nicotine strength, availability, and user reviews would solve fragmented search across brands. [Google Search suggestion]
Google Trends1mo agoToolOtherUS
Creating a secure, easy-to-use platform for families to organize, store, and share photos privately without the surveillance and complexity of mainstream social networks.
YC Graveyard18y agoToolConsumer/Photography
Hi everyone, 1 I've run into the same problem over and over again. When an item wears out, I can't buy the exact same one anymore. It's been discontinued. Or it has been changed while keeping only the same name.2 I assume this isn't only my problem. I've heard many stories about people not being able to buy the same shoes, T-shirt, perfume, or jacket again.3 I understand why manufacturers do this. I have no questions for them. What matters more to me here is us — customers, or simply people. And I started wondering: what could be done to support a customer's choice for years?4 This is where I want to bring concepts from software and hardware engineering into the clothing industry — LTS and APIs. What if we freeze the standard and support it? We already have things like SATA or CPU sockets. Why not build a similar concept for clothing? Then the API at the point of contact with the customer is divided into a physically immutable part (color, material, design) and a flexible part (logistics, ingredients). Let's start with the simplest base — a T-shirt. Why not give it LTS support? The idea is that the exact same T-shirt could be sold for 1, 5, or 20 years.5 Where does my logic break down? What am I overlooking? Are there any similar projects? And would you become a customer of such a company?Thanks.
Hacker News1mo agoToolAI
I was recently laid off after 18 years, and gave myself 100 days to build soething useful in public. CheapFoodMap is a crowdsourced map of meal under $10, excluding franchises, local good eats only.It's inspried by 거지맵 (Begger's Map) a Korean crowdsourced map students use to find cheap eats.Ocverage is heaviest in Texas, since I live in Dallas, but have 1200 meals across 15 US cities. Seed data came from Google Review, 4.2 star or higher with at least 500 reviews, and verified price under $10 per menu item.Things I would love feedback on : whether the price-freshness model makes sense, and what would make you trust the price on a site like this. How to encourage people to update prices, since inflation is making food price very frequent.https://cheapfoodmap.comAny and all suggestion will be super helpful. Thank you!
Hacker News1mo agoToolAI
I'm building Kedge, a globally distributed platform for stateful serverless apps. Here's how you make a simple static site: `echo '# Hello world!' | ssh kedge.dev`I helped build Fly.io for 4 years and shared enthusiasm for the founders' vision of a 'global Heroku'. While there, I wrote "The Serverless Server" (https://fly.io/blog/the-serverless-server/) as a study of Lambda and a sketch of a modern serverless product built around lightweight VMs. That essay was the initial inspiration for Kedge.Kedge has a fast VM orchestrator that can create code sandboxes or scale service instances in 3ms, using a combination of forkable VM snapshots and a tree of warm pools (Linux kernel -> base runtime -> app). VMs are memory-dense thanks to shared copy-on-write memory pages. You can run lightweight CGI-style functions, public OCI images, or source code for BuildKit to compile and deploy.Kedge's global control plane sits on an eventually-consistent SQLite database. Taking inspiration from Corrosion and Litestream, I built a local-first, multi-writer CRDT-based replication system backed by object storage, and just recently made it open source (https://github.com/wjordan/syzy).You can also use a SQLite client to query `/shared.db` from any instance for a build-in replicated database in your app. This lets Kedge autoscale services close to your users while each instance queries its local replica for eventually-consistent data, with no need to micro-manage instance or volume placement. (There's also a /shared/ filesystem adapter for convenience.)Kedge can even use this same database for stateful, server-rendered HTML apps. Data attributes bind forms, buttons, and values to records in the app database, Kedge compiles the schema and operations at deploy-time, and then queries the local data to serve requests. As a demo, I made a Hacker News clone with story submiss
Hacker News1mo agoToolDev
Hi HN, Rohit here from Tokenless (https://usetokenless.com/), which I’m building alongside co-founders Andrew and Kev. We’re building an API gateway which routes agent traffic dynamically turn-by-turn between different models to save on AI spend.The cost of AI tokens is top-of-mind for many. Companies like Uber and Salesforce have been complaining about blowing their yearly AI spend faster than expected.Frontier models are amazing for dev work, but are so expensive. Open-source models are cheap and rapidly improving, closing the gap with frontier models, but aren’t quite there yet.Tokenless gets you the best of both worlds–routing harder turns to smarter models only when needed, which keeps costs low.Before Tokenless, I was doing a PhD at Princeton. While using coding/other agents, I constantly agonized over model choice, to make sure my AI spend was going as far as possible on my academic Cursor account.At the same time, I was doing LLM research, and a small technique I developed while in recovery from NeurIPS submission season seemed to hit SOTA pretty fast. I was surprised that such simple ideas could do routing well.We’ve been able to develop a version of the router that matches the performance of Claude Fable 5 at half the cost. The blog post on our website explores the technical details on how we did this (https://usetokenless.com/blog/building-tokenless/).Highlights: - Our approach queries multiple models at once and uses their progress to make decisions (this technique is novel AFAIK, let us know if you know anyone else doing this). - Switching models doesn’t destroy the cache if the routing algorithm is aware of when the cache is hot/cold.To come: - Adding Kimi K3, all other GPT efforts and more to the routerGo ahead and sign up on usetokenless.com and try using Tokenless with your agent, you’ll get $20 of free credit. Here’s a demo on how to use it: https://youtu.be/sjZWriclclsTokenless provi
Hacker News1mo agoToolAI
US businesses spend $222B yearly on machine maintenance/repair with no centralized service history, predictive capabilities from sensors, spare parts marketplace, operator training, or AI chat support tied to specific machines, leading to inefficiency and lost tribal knowledge.
X5mo agoToolBusiness
Banks, airlines, insurance and gov still run 40-year-old legacy software where refactoring is impossible, making onboarding enterprise customers and training employees extremely difficult without specialized tools.
X5mo agoToolProductivity
Search in X app is useless for finding specific old tweets even when they contain the exact word, showing no results and making historical content retrieval impossible.
X1mo agoToolMedia
Uploading custom emotes to server chat requires exact 128x128 pixels and under 256KB, otherwise the app squishes images or rejects files, making it frustrating for creators.
X1mo agoToolMedia