Real problems people complain about online, pulled every morning and scored out of 100. Build, validate, or skip. How scoring works
People need an app similar to Grindr but focused on finding partners for platonic cuddling and snuggling, as existing dating apps are too sexual or not suited for this.
X2mo agoToolDating & Community
Tool that helps individuals check if their personal data was exposed in major breaches and understand the specific risks (identity theft, financial fraud) they face. [Trending: "what is a data breach" with 2000+ searches in US]
Google Trends1d agoToolFinanceUS
Hey everyone, a few months ago, after recovering from a Clade-generated bug, I was thinking to myself “wouldn’t it be nice if prod DB writes were easy to roll back”. I’ve put something together: it’s a two-container deploy plus a CLI tool. It’s far from being production ready, so please be gentle. All feedback welcome!The nitty gritty: https://eterdb.com/techGitHub: https://github.com/eterdb/eterdb
Hacker News5d agoToolAI
I kept hearing "just buy a Mac and run models locally, it pays for itself" and wanted to check. Sunk Cost takes a machine, a model and how many tokens you use a day, and works out how long the hardware takes to pay back against renting the same model by the token.Obviously there are other reasons to buy your own hardware aside from just saving money on llms but this is just looking at it from a raw cost saving perspective.If you have any ideas on how I can make this more helpful lmk!
Hacker News1d agoToolAI
Hey HN, Toby from Nari Labs here.We've been working on making OSS speech models super-fast. Last year, we built Dia, the first OSS text-to-speech model capable of doing natural dialogue. Since then, so many more great speech models have been released to the public.But the market is still dominated by closed source models. We think that's an inference problem. Existing systems such as vLLM / SGLang are not well suited for multimodal inference. To prove this, we built an inference engine specialized for Qwen3-TTS and open-sourced it (https://github.com/nari-labs/nari-qwen3-tts). Running at sub-50 ms latency at 10 RPS, this showed open models can be run much faster and cheaper.Since then, we've been working hard to bring cheap, fast, and high quality serving to all. And we've even beat closed models at their game!Measured on the highly cited Coval (YC S24) voice AI benchmarks, our Qwen3-TTS endpoint not just is #2 in latency, but #1 in accuracy (WER) compared to 11Labs, Cartesia etc. while being the cheapest endpoint. Our Qwen3-ASR endpoint has the lowest latency and #2 accuracy, just 0.1% away from #1. It is the second cheapest model on the list.It took a lot of clever inference engineering to make these models quick, perform well while keeping costs low. Interestingly, Alibaba's official endpoints seem to perform worse in terms of accuracy and latency compared to ours. But nonetheless, much love to the Qwen team for OSS-ing these amazing speech models.We want to continue to push prices down to make speech technology a commodity - so that every app can have great TTS and STT without worrying about unit costs. We're also working on other parts of audio such as diarization - as well as video and world model inference. More to come!
Hacker News1d agoToolAI
Need for deterministic, fast, minimal-scope syncing in a multiplayer visual workspace for AI automations that is agent-agnostic (no control over agent read/write tools) while supporting HTML as first-class and handling concurrent agents on the same pages.
X2d agoToolAI
Website analytics could be simpler, faster, and actually useful instead of current options like Google Analytics.
X2d agoToolProductivity
User notices how much of the day disappears into tiny repeated tasks like checking, sending same messages, or moving information, seeking to automate the repetition to free up time.
X7d agoToolProductivity
Users on social media platforms want to hide or block unwanted photos/images in their feed, similar to how they can mute specific words, to avoid visual content they don't want to see.
X2d agoToolProductivity
User expresses frustration with manually doing tasks instead of using available apps, resulting in self-blame and wasted time on repetitive or avoidable manual work.
X3d agoToolProductivity
Event tickets often have resale restrictions. A tool helping sellers understand legal resale rules, pricing limits, and marketplace options for specific events could solve fragmented guidance across platforms. [Google Search suggestion]
Google Trends3d agoToolE-CommerceUS
Flipkart Minutes and similar quick-commerce services need efficient delivery route optimization to handle rapid scaling (150+ cities). Current logistics platforms are over-engineered for 10-30min deliveries. [Trending: "flipkart minutes" with 200+ searches in IN]
Google Trends3d agoToolLogistics & DeliveryIN
Developers struggle to manage multiple git worktrees and isolated service environments locally. Building, testing, and orchestrating services across different branches/contexts is manual, error-prone, and slows development velocity.
YC Graveyard1y agoToolB2B / Developer Tools
Hacker News4d agoToolOther
Hacker News4d agoToolDesign & Creative
Local shops, coaches, and consultants lack time or skills to build and update professional websites, even with AI tools, leading to reliance on inadequate solutions like Linktree or Google Docs.
X5d agoToolNo-Code
People face repeated daily choices about what to wear and cook, causing stress and time loss without a simple, personalized app to handle both.
X4d agoToolProductivity
Users worry about exposing personal data like passports and transaction histories to malicious actors via services like Revolut, needing encrypted identity solutions on privacy-focused blockchains.
X4d agoToolFinance