Real problems people complain about online, pulled every morning and scored out of 100. Build, validate, or skip. How scoring works
Online educators and course creators face challenges finding simple, affordable teaching platforms that support custom domains and native global localization to deliver a perfect teaching experience.
X1mo agoToolEducation
Perpetual DEXes have low retention as users are mostly one-time airdrop farmers; need gamification to turn trading into addictive, loyal engagement with volume and community features.
X1mo agoToolFinance
Individuals find it hard to build and ship meaningful projects for portfolios without support; need structured small groups to collaborate, build, talk about work online, and update portfolios effectively.
X1y agoOtherHR & Career
Builders struggle to share and get input on the real problems their startups address in community threads, missing opportunities for feedback and growth.
X1mo agoOtherVC & Startups
People living in emotional 'gaps' struggle to articulate feelings, find the right words, and feel understood, needing tools to talk it out and gain clarity.
X1mo agoToolPsychology
Remote workers need a dedicated safe space to connect with like-minded people, find clients, land jobs, and grow professionally without isolation or unreliable networks.
X1mo agoOtherHR & Career
Builders who practice new skills and share updates on social media often get minimal engagement (e.g., 18 views, 2 likes), making it hard to build audience or momentum in building in public.
X1mo agoOtherProductivity
Users struggle to compare credit card alternatives based on rewards, fees, and benefits. A tool that compares cards like Chase Sapphire Preferred against competitors based on spending patterns and priorities. [Google Search suggestion]
Google Trends1mo agoToolFinanceUS
Hi folks,I've noticed that a lot of people here seem exhausted by the amount of AI news on the front page. I shared hcker.news here a year ago and it has since gained a ton of filtering features, including a dedicated AI filter, so I figured I should tell more people about it.The filter works in three passes: 1. Known AI-related keywords and domains are filtered automatically. 2. An agent reviews the remaining articles and removes those it identifies as AI-related. 3. I make the call on uncertain cases. You can also exclude GitHub repos posted to HN that show signs of AI authorship. The filter checks: - Commit messages for agent attribution - Contributors for known coding agents - Repository files for agent instructions and configs No filter will be perfect, but this is as good as it gets. lmk what you think. Cheers.More links:Original Show HN: https://news.ycombinator.com/item?id=44075353If you only want AI stories: https://hcker.news/?view=frontpage&ai=includeRSS: https://hcker.news/feeds/atom?period=day&ai=excludeA github-only non-AI feed: https://hcker.news/?ai=exclude&include_domains=github.com
Hacker News1mo agoToolAI
We are Rui and Michael and we’re building EdotEnv (https://edotenv.com): self-improving RL environments from Quant Trading workflows.With all the benchmaxxing around, evals saturate and become meaningless for model comparison. Useful benchmarks should increase in difficulty as models advance. Back in our Quant jobs, Michael and I saw that the market has exactly this property: markets became more efficient as people profited from trading inefficiencies, making new profitable strategies harder to find and old ones decay over time.This makes markets an ideal, continuously evolving benchmark for LLM training. The hard part is to turn professional quant workflows into reliable training envs, as this is a very niche expertise.In our environments, we give LLMs a quant trading workflow and evaluate their performance on out-of-sample data: build predictive features/ models, design a portfolio, backtest strategies, adapt continuously to market regimes. Each step is a task with different self-built tools. For example, a predictive feature building task gives the agent cleaned market data of time period [0,T] to research ideas, a backtesting tool to test created features at time t on [0, t], an execution tool to trade strategies with the new features on [t+1, T] and a final evaluation. Our reward isolates the agent's feature building skills and yet benefits from market properties.From running SOTA models in our environments, we see that i) they seem to struggle with iterating deeply on research ideas, preferring broad shallow searches; ii) higher reasoning does not seem to increase performance and iii) agents do not understand trading, e.g. when losing money they stop trading instead of trading smarter. Check out our blogs for more details! https://edotenv.com/?tab=blogQuant workflows are essentially applied ML research, long-horizon planning and continual learning. Through our envs, we teach these transferable research skills, rather than tas
Hacker News1mo agoToolAI
Hello HN!I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy.I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has.The methodology might be a bit shaky, but hopefully the result is as helpful for others as I have found it! There's lots of room for improvements (see the Future Work section), but I'm really happy with how it turned out.
Hacker News1mo agoToolDesign & Creative
Hacker News1mo agoToolAI
Hacker News1mo agoToolOther
Hacker News1mo agoToolOther
Difficulty finding an app similar to Tinder but focused on making friends rather than romantic connections, especially for those new to such platforms.
X1mo agoToolDating & Community
Traders have to manually compare every venue before placing a trade, leading to higher expected costs instead of automated smart routing across hundreds of scenarios.
X1mo agoToolFinance
People with ADHD must manually break down and process 37 invisible micro-steps for what should be a single task, making everyday actions overwhelming and time-consuming.
X1mo agoToolPsychology
Struggle to find a cheap laptop capable of running games effectively without performance issues, highlighting gaps in budget hardware options.
X1mo agoOtherHardware
Web3 traders waste significant time manually switching between different apps and platforms to track asset balances, positions, and execute tasks across Solana and EVM chains, while also dealing with privacy risks from public servers.
X1mo agoToolFinance