生产力1 week ago
Humanely
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 🙌
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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 🙌
通过分析Amazon评论、Reddit讨论和YouTube视频获得即时购买/跳过/谨慎评判
@aminnnn_09 · X
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。
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
用AI判断替代SEO仪表板的决策系统
@iraftopo · X
Replacing SEO dashboards with accountable decisions
Resumeqo：上传简历获得AI逐行反馈和改进建议。
@yathish79 · X
Hi I created this saas using my maternal uncle laptop pls comment ps: i don't have money to buy a domain, hope you guys like it
用AI分析简历并筛选候选人，提供匹配度评分和技能差距检测。
@HireXhub · X
分析文本以识别 10 种有毒和 7 种健康的沟通模式。
@WEreFrame · X
Underrated...well I wouldn't say that because I'm just starting, but overlooked maybe. The impact on humanity will be noticed across the globe. Stop reacting. Start reFraming.
借助AI为本地企业生成Google Reviews，助力获取销售线索
@janiraj88 · X
汇总Google商业资料评论数据，利用AI生成周度性能简报。
@smooseo · X
For the moment only in French but soon in english : - analyse GBP’s reviews
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
用AI收集用户反馈、优先排序功能需求、发布客户喜爱的功能更新。
@heyayankai · X
💬 Building FeatureSay. A simple platform to collect user feedback, prioritize feature requests, and build what customers actually need.