开发者工具2 hours ago
App Review Management Software for Every Store | ST STATICS
在统一的收件箱中管理并回复来自Google Play、App Store等平台的应用评论。
@jbsharan2306 · X
founder here
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在统一的收件箱中管理并回复来自Google Play、App Store等平台的应用评论。
@jbsharan2306 · X
founder here
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
使用Peekaso的AI分析研究iOS应用创意、关键词和竞争对手。
@ValidateYourApp · X
👀 Validate your app, research and compare keywords with AI analysis. Free to try! 🚀
追踪 Shopify 应用商店应用和关键词，研究竞争对手，发现市场机会。
@yuangwya · X
借助AI为本地企业生成Google Reviews，助力获取销售线索
@janiraj88 · X
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.
在一个安全的地方整理和管理密码、documents 以及数字遗产信息。
@DLVaultApp · X
Most families aren't prepared for someone's digital life. Passwords. Documents. Recovery information. Important instructions. Digital Legacy Vault helps you organize everything securely and decide exactly who can access it when it's needed. #buildinpublic
通过应用投诉分析发现被忽视的产品机会。
@MihkelSylla · X
Working on and few other smaller projects for myself
用Pyor原生应用审查GitHub的PR，无需打开github.com。
othmanosx · HN
I still don't like the fact that AI is adding more stuff for us to read, it's accelerating the code production but slowing down the code review. I built my own code reviewer as well ( https://pyor.review/ ), surfacing the important stuff first is the right track, but adding more stuff to read is daunting, but asking AI to just point you to what you need to focus on and skim the noise is what I'm leaning more towards.
AppScreenshots 为 iOS、Android 等多个平台生成应用商店截图和 3D 设备展示。
AppScreenshots — 生成应用商店截图，支持 iOS、Android、Chrome、HarmonyOS 等平台，支持 3D 设备展示和 AI 驱动的 Mockup 创建工具
在数分钟内启动用户反馈调查，采用 AI-powered sentiment analysis
@elvan_hq · X
Feedback surveys with AI summaries for SaaS and ecom teams. NPS, CSAT, CES in minutes, not days. Built for the one-person CX stack who doesn't have time for enterprise tools.
检查你的 AI 应用的安全性、隐私和治理准备情况。
u/Budget_Lawfulness_33 · Reddit
I made a tool that bridges the gap between vibe coding and actually knowing what you shipped A lot of people are shipping things they don’t fully understand anymore. With the new flagship models such Claude/Codex and people spending hundreds on AI subscriptions to build faster, apps are being shipped quicker than ever. But when you’re constantly throwing prompts at AI, adding features, and moving fast, it’s easy to lose track of what actually made it into your codebase. So I built: https