
Kitbase — Product Analytics & Event Tracking
追踪用户事件和分析产品行为。
@kitbasedev · X
We just launched, check us out at
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18 projects

追踪用户事件和分析产品行为。
@kitbasedev · X
We just launched, check us out at

用ProductBlaze诊断产品市场契合度,发现增长瓶颈。
@teslaptimus · X

从App Store和Google Play评论中提取产品洞察、痛点和竞争机遇。
u/Top-Quarter-4281 · Reddit
I made a product for analysing app reviews and get insights Hi folks! I recently made ParseMyApp , it takes any app and turns its reviews into something usable: top complaints with root causes, what users would riot if you removed, feature requests ranked by impact, and where competing apps could win based on analysed app weaknesses. Bonus: No account needed, free and runs entirely in your browser. How does it work: it pulls up to 500 reviews for iOS (Apple's API cap), and up to 1500

用于管理电子商务运营、库存、退款、广告支出和客户服务的仪表板。
@ArtAndAlgo · X
Please follow me my G! Fashion Photographer who’s been vibe coding since 2024

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.

按频率排序浏览应用商店投诉,发现产品空白。
@MihkelSylla · X
Working on and few other smaller projects for myself

通过评分、护城河分析和竞争对手差距来验证 SaaS 想法的防守性。
@saralsachan · X

将 Stripe、PostHog 和 Google Analytics 的业务数据集中到一个仪表板。
@xdrewmiko · X
Roast my SaaS - Would you use it? - Should I change anything?

上传数据集自动发现具有统计意义的相关性和因果关系。
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

AIWMC Quantis:90秒内AI分析商业创意的财务预测和风险场景。
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.

分析客户摩擦点,获取优化建议以提高转化率。
@EnricoBoeker · X

The Lineup 体育博彩分析工具,包含 +EV 公平价值检查、预测和追踪。
u/sweetnessssss · Reddit
Nine months ago I quit my data science job to build an app. The app is still hungry. Nine months ago I left a comfortable data science job at a travel company to build a sports betting app. Comfortable is and odd word for a job - it means the money arrives on schedule and nobody in your family asks if you're okay. The app is called THE LINEUP ( https://thelineup.pro/ ) -- it does the unromantic parts of betting: comparing prices, working with projections and tracking what happened afterwar