
BoardingMaybe — Flight Delay Statistics
按航空公司、航线和月份浏览航班延误统计,比较准时率后再预订。
@BoardingMaybe · X
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按航空公司、航线和月份浏览航班延误统计,比较准时率后再预订。
@BoardingMaybe · X

实时跟踪 OpenAI Codex 使用配额重置。
@Ethan_huang0807 · X
SaaS 时代: 大家关心的是 Monthly Active Users。 AI 时代: 大家关心的是 「今天 Reset 了吗?」 竟然有人专门做了一个网站实时追踪: 一个以前没人会想到存在的产品。

@joovier_ https://t.co/keG2Rl4hD4 data analysis app. Check out
@MourynCher16712 · X
data analysis app. Check out

Reserve Table——餐厅预订系统,客人缺席收费,可减少放号率达80%。
@ReserveT37916 · X

查看Codex重置的实时状态和24h/48h预测分数。
@AlexGiraffe031 · X
做了一个监控Tibo和实时预测codex什么时候重置的网站,Tibo我会一直视奸你...直到永远...

自动对客户反馈提交进行评分、标记和去重。
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.

分析着陆页的转化问题,获取排序修复建议及预期提升效果
@JonBuildsHQ · X
My project is A tool for SaaS founders to spot landing page leaks. What are you working on?

记录交易并上传支付单据,标记缺失或被收回的佣金。
u/JustinMoose · Reddit
I built an app that flags when commission earners get underpaid, unpaid, or clawed back I sell insurance for a living, and a while back I realized I had no real way to know whether the carriers actually paid me correctly. You bind a policy, and 30-60 days later some commission shows up on a statement, and you just kind of trust the number. Across hundreds of policies and a few carriers, that's impossible to track in your head. So I built PayoutVerify. You log what you sold and what you expe

通过分析 Stripe 交易数据识别流失风险客户。
@mustloyaltide · X
everyone’s building with ai right now. i built something that deliberately doesn’t use it, just plain stripe data and some rules. turns out that’s enough to catch a customer before they leave. if you want to see it.

用自然语言或 YACQL 查询 NFL 统计数据,生成可共享的表和图表。
u/Fun-Calendar8486 · Reddit
I am building yacdb.fyi, letting users ask natural-language questions about NFL data and turning them into queryable results. Yacdb.fyi goal is to allow users to construct questions about NFL data, think "Best 1st down conversion rate in 2025", and exposing a custom query layer on top (think SQL) allowing users to define their own queries to build data sets. They can chart in the app, using built in tooling, but can export the data as well if they want to use their own tooling. I am look

通过GPS地理围栏、数字售票和反欺诈功能验证大学出勤
@TechPriest_001 · X

在Kalshi天气预测市场中发现数据驱动的交易机会。
@WingGirlTrader · X
Because the edge is in trading weather markets. And the is a free tool that provides real edge almost daily in temperature bets. And it's FREE