
Odds Trainer — Hold'em Equity & Pot Odds Drill
选择弃牌、跟注或加注来练习Hold'em底池赔率和权益决策。
@Fakiry · X
Check out what I just built with Lovable!
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选择弃牌、跟注或加注来练习Hold'em底池赔率和权益决策。
@Fakiry · X
Check out what I just built with Lovable!

Set up a few hidden cards for someone, they tap one, and chance picks the plan.
u/Raspberry_64713 · Reddit
Let chance decide the date The viral video where the guy sent the girl, “would you go on a date with me?” and the cursor kept moving and she had to click yes. It made me built this so I can send it to a guy lol (I’m not in the U.S. right now hence the different East Asian language choices at the bottom) Fill out 3 choices you might want to do together, and the other person randomly picks. You get their response either they send you back the link, you wait in the response room, or you get

上传客户数据预测流失风险,获得留存策略。
u/ajaysurya_ · Reddit
Looking for feedback Built Bayeso after realizing most churn prediction tools ignore small businesses. Looking for feedback. hey everyone, i've been working on bayeso ( https://bayeso.tech ), an ai platform built for businesses that don't have massive datasets. while building it, i kept running into the same problem. almost every churn prediction solution is designed for companies with thousands or even millions of customer records. if you're a small business with a few hundred customer

A leaderboard nobody can just outbid. Play the odds to be at the top.
@dev_in_tech · X

分析拉取请求以理解变更,区分重要改动与琐碎修改,识别潜在回归。
logphase · HN
I've always struggled to hold a large PR in my head. AI-assisted coding has made it worse. Especially when dozens of files are modified, it became harder to understand what changed: distinguishing important changes from trivial ones and identifying if regressions were introduced. I was also tired of switching between file and method to build the whole picture in my head — I wanted all the context at the point of the function I was reviewing. I guess I'm just more of a visual person. I realized t

通过蒙特卡洛分析模拟退休计划,查看达成目标的概率。
u/Negative-Ticket-9716 · Reddit
I open-sourced a free retirement planner with real Monte Carlo simulation (React + Supabase + edge functions) I built a free retirement planning tool that runs the analysis financial advisors charge $2,000+ for: a 10,000-trial Monte Carlo simulation over your savings, allocation, and withdrawal plan — probability of success instead of a single-point guess. It also models Social Security claiming ages, Roth conversions, and has a stress test that replays 2008, 1970s stagflation, and the Lost D

使用硬件认证和OTP保护GitHub拉取请求。
jallmann · HN
> want without a PR process that requires hardware authentication or proof of presence Just curious, what do you use for this? I built OTP Guard [1] a few years ago for exactly this problem, although I haven't seen any alternatives in the space. Does GitHub have something built-in now? The original framing was more "local malware compromising your GitHub account" ... it never occurred to me that the malware could be a LLM. I really should update the page. [1] https://otpguard.com

A delivery board whose columns are your branches. Pick a card up and the branch is cut; push and the pull request opens; move it to the last column and the merge happens. Works on
@tylonapp · X

追踪 Pump.fun 代币,识别恶意钱包地址和地毯拉动风险。
@ha_li60704 · X
他的技术力量确实很强 解决了很多我想解决而没解决的问题 大家可以试试网站: 查询速度非常快,而且可用信息占比极高 可以说已经是成熟的打狗神器了 我分析了他的数据源,他自己做了一个庞大的数据库,有一个订阅源 这不是开玩笑的东西,这是真技术,很久没见过的真东西 J5ZognFJEepsWsCQPmqVchvEvsUMomEkxd8LbMrH2J7

记录交易、追踪权益曲线和性能的交易日志应用。
@NimraWeb3 · X
So I vibe coded my own with Lovable TradeBook. Log trades w/ session, killzone, model, grade, R:R + screenshots, track multiple accounts, get a real dashboard (equity curve, win streaks, pair/session breakdowns). Demo: GitHub:

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.

为人类和AI代理记录和检索决策,追踪完整来源。
@burn2delete · X