zloy88 · HN

ValuePair – a friendship app that cares about values first

lby910722 · V2EX

做了一个 5 Letter Word Finder：按 Wordle 线索快速筛 5 字母单词 最近做了一个英文 5 字母单词查找工具，主要给 Wordle / crossword / Scrabble 这类场景用： https://5letterwordsfinder.org/ 特点： - 可以按 green tile 的固定位置筛选 - 支持 must include / exclude letters - 支持 starts with / ends with / contains pattern - 支持 available letters ，用来做 anagram / rack search - 词库在前端本地跑，结果响应很快，不依赖远程 solver API - 有 common-only 模式，Wordle 场景不会被太多冷僻词淹没 我把工具放在首页第一屏，下面才是说明文档和 FAQ 。现在主要想收集一下文字游戏玩家 / 做工具站朋友的反馈：哪些筛选项、排序逻辑或移动端交互还可以再改？

ramsford1000 · HN

Ramsford – AI butler for travel, cruise planning, and daily tasks

有名 — 用 AI 取好名字的网站，找到独特、易于品牌化的名称

@NWExplained · X

Not a startup, just something I made for myself

Games Hub — HTML5 游戏集合站点

kingchesco · HN

I know $90 for a dining app sounds absurd. And it’s not even an app; it's a wrapper for an LLM. But it is how it is built that makes it so expensive. I had to make a whole API just to call it (which because its own SAAS). All just to bypass dumb google reviews. Google Maps and reviews send people to places optimized for tourists and good copywriters. To find actual local hole-in-the-walls algorithmically, I had to first build that api (called BWENDI), a "spatial gravity" engine using 100GB+ of tweaked OSM, GeoNames, and other proprietary data. Instead of aggregating reviews, it mathematically calculates foot-traffic, throughput, transaction stats, and economic criticality among other factors. Bwendi is A Python/Node ETL pipeline feeding an LMDB-backed context API. It uses a proprietary 1MB binary grid served via Cloudflare Workers for millisecond edge reads with near-zero overhead, hosted in Switzerland. This was done of course to get the purest location context around every street