
LoL RankBoard
实时查看朋友在LoL排位赛中的段位、LP、胜率和最近比赛。
@lippi304 · X
▎ I build small apps that solve my own annoyances. ▎ ▎ 🏝️ Islet — Dynamic Island for macOS ▎ 📊 rankd — live LoL rank overlay, no alt-tab ▎ ▎ Built solo with Claude Code. ▎ [ ▎ [
完整作品展
技术栈
60 projects

实时查看朋友在LoL排位赛中的段位、LP、胜率和最近比赛。
@lippi304 · X
▎ I build small apps that solve my own annoyances. ▎ ▎ 🏝️ Islet — Dynamic Island for macOS ▎ 📊 rankd — live LoL rank overlay, no alt-tab ▎ ▎ Built solo with Claude Code. ▎ [ ▎ [

Answer a few questions and get AI-ranked mutual fund research for India: quality scores, expense ratios, CAGR returns and SIP projections. Import your portfolio from a screenshot a
@nava_who_codes · X

上传 CAS PDF 获取 AI 驱动的基金组合分析和配置洞见。
@iASHeeesh · X


Data-driven football and tennis predictions powered by statistical models. Compare bookmaker odds against our fair-value probabilities to find +EV bets on the World Cup, top Europe
@StatsArena_ · X

分析Reddit趋势、研究关键词、评分帖子。
u/hachishikiga · Reddit
You don't need LLMs for everything "Just ask (insert any LLM)" is crazy to me. I'm sure you've also seen it, if you go around the saas/entrepreneur subreddit space the most obvious tell is how EVERY homepage looks. Recently the trend has been terminal green with slight glowing elements, and slowly revealing features as you scroll down. This is a bigger issue than the scope of this post, but I will still plant the thought in your head: if everything comes from the same source (even more so if

上传 CSV 文件查看统计摘要、图表和可排序的数据表。
@LadyRichies0906 · X
Check out what I just built with Lovable!

记录肯尼亚政治候选人的支持地点、时间和支持度评分。
@MuhohoM · X
Check out what I just built with Lovable!

在睡眠、健身、营养、专注力和长寿五个方面获得0-99的日常健康评分。
@Qyvenvercelapp · X
— scores your whole day 0-99 across sleep, fitness, nutrition, focus, longevity my sleep's averaged 99 the last 30 days, not sure the app knows what to do with someone actually sleeping well

无需注册即可访问305+计算器,涵盖财务、健康、数学和日常转换。
@calculate_at · X

CDC Nigeria HIV 项目执行仪表盘,展示 KPI、治疗级联和性能指标
@Spernixx · X
Check out what I just built with Lovable!

用于查询结构化公开X数据的API,包括帖子、资料、趋势和粉丝。
u/CodeElectrical7071 · Reddit
X’s API is expensive, so I built a simpler API for public X data I’ve been building ThreadQuery, an API for getting structured public X data into apps and AI workflows. It supports search, post lookup, profiles, user posts, threads, trends, followers, and following. I’m starting with a free beta while I test reliability with real usage. The first 100 verified users get 1,000 free credits. No payment integration yet. I’d love feedback, especially on incorrect data or missing endpoints: