
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. ▎ [ ▎ [
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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. ▎ [ ▎ [

集中管理客户反馈,通过投票排序,并分享交互式产品路线图。
@himanshu_b20 · X

对功能建议投票并查看产品路线图。
u/kaneki0dd · Reddit
Built SignalBoard a $15/mo Canny alternative for feature voting & roadmaps Been building this because Canny charges $79/mo for something that should be simple: let users vote on features, show a public roadmap, ship a changelog. https://preview.redd.it/h2x588h0n8dh1.png?width=1200&format=png&auto=webp&s=c5a4e15c59008ee67b495b7c35e1350d314e257b What it does: Feature voting — verify once, vote with one click after that AI duplicate detection — catches near-identical


RankWorker 自动生成 SEO 内容以增加有机流量,专注业务运营。
@st0yanov · X

分析YouTube频道评论,获取内容灵感、受众统计和赞助商线索。
@CrowdOpinio · X
- It reads any #YouTube channel's comment section and turns it into content ideas, audience #insight, and #sponsor leads.

为任何事物投票排名,让网络决定什么最好。
@abenzick · X
This weekend I vibe coded a new website: live rankings of anything and everything. Want to know the best slice of pizza in Dallas? Want to vote for the greatest band of all time? Is Tom Brady the greatest quarterback? You vote, the internet decides.

将AI文本转化为自然人类写作,规避AI检测。
Humanizadordeia.app — 将AI文本转化为自然人类写作。1)人性化处理,让 AI 文本更自然、更贴近人工写作与品牌口吻;2)检测服务,帮助识别潜在 AI 生成内容,提升合规与质量。支持多语种、极速处理、保留语义与风格。免注册体验 300 字,适合博主、营销团队、跨境站点、教育与企业内容运营。以先进模型(GPT、Claude、Gemini 等)驱动。

从真实用户获得您的着陆页或SaaS应用的视频评价。
@JessePeplinski · X
building and

将AI生成的文本转化为自然人类语言,支持语法检查、检测和SEO优化。
@RohanAhmed06 · X
🚀 Built Humanely. An AI writing toolkit with: • AI Humanizer • AI Detector • Grammar Checker • Text Summarizer • SEO Tools I'd love your honest feedback 🙌


在27个加密货币、AI和开源角色中找到你的位置。
u/dooolittle · Reddit
I spent the last months building a role assessment for tech waves — just for fun, now it's real The idea: every hype cycle (Linux, crypto, AI) produces the same 27 roles — builders, educators, curators, capital providers, connectors. Most people pick theirs by identity („I'm a coder, so — developer") instead of fit, and it costs them the cycle. So I built an assessment that measures fit: 77 behavioral questions across 5 dimensions, scored against all 27 roles, with the scoring