
ReadMeAd: Monetize Your GitHub Code
ReadMeAd 让你在 GitHub README 中添加广告赚取收入。
@V1Gameboy · X
Do you want to make passive income from your GitHub code? Try a site that let's you put ads on in the README section of your repository to earn money.
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ReadMeAd 让你在 GitHub README 中添加广告赚取收入。
@V1Gameboy · X
Do you want to make passive income from your GitHub code? Try a site that let's you put ads on in the README section of your repository to earn money.

基于证据分析比较候选人,生成招聘决策文件。
facundobon · HN
Verdict – AI hiring verdicts where every score cites the CV verbatim

通过4个问题快速找到纳瓦尔推荐中最适合你的书。
@biepianziji · X
纳瓦尔推荐过那么多书,普通人到底该从哪本开始? 我精选了他公开推荐、评价和读过的36本书,做了一个45秒选书工具: 4道题 → 1本现在读 + 2本接着读 + 10分钟开读任务。 不是“人生必读书单”,只是帮你找到此刻最适合的起点。

发布和阅读投资论文、财务分析及证券文件研究的社交平台。
@goglidesfinance · X
I swear to God, I vibe-coded this entire platform because I wanted one place to publish my endless $DVLT rabbit holes. 😂 Now it’s becoming a finance social platform where people can read investment theses, financial breakdowns, and SEC filing analysis, and eventually publish their own research. I have a ton of ideas. The only problem: I’m a one-man army with limited resources. Sadly, I can’t dilute shareholders to raise capital. 😂 Sometimes I wish GoGlides were already a public company. P.S. You can sign up for free, but publishing, commenting, and participating in the social features currently require a subscription. Those subscriptions help me keep the platform running and continue building it.

输入出生信息,用AI结合八字、紫微等解读你的人生。
@maa976403 · X
登顶AI大众点评(观猹)周榜第一啦! 做 Seeself 的起点,来自 2023 年的一段迷茫期。那时我从传统命理里获得了一些重新理解自己与生活节奏的视角,随后开始系统学习八字理论,阅读古籍、现代课程与不同流派的资料,也在小红书持续为用户看盘。几乎所有业余时间都投入其中,累计看过上千个案例。 看得越多,我越意识到:很多人来咨询时,需要的未必只是判断本身,也会带着大量情绪、焦虑与期待。真人解读很有价值,但咨询师也很难完全不受这些信息影响 —— 为了照顾感受弱化结论,或在持续追问中不自觉地改变原有依据,都是现实中会发生的事。 而我研究命理最有成就感的部分,始终是理论被严谨地应用到具体命盘上,而不是承担情绪出口的角色。所以后来,我暂停了真人看盘,但没有停止思考:在 AI 时代,能不能把这套依赖经验、复杂且容易受主观状态影响的能力,变得更稳定、更可追溯? Claude Code 出现后,我开始尝试让 Agent 在人工监督与规则约束下学习命理知识:先整理为可调用的知识体系,再生成报告给朋友测试,随后把能力做成线上服务,逐步加入生辰八字、紫微斗数、印度占星和一事一占等不同维度。Seeself 就这样一步步长出来。 Seeself 公测首日收到了上百份邀请码申请,大家的热情远超预期。产品正式上线时,我也完成了一次对自己的重新理解。作为一个典型的 T 人,我过去以为真人咨询最难的是承接情绪;后来才发现,情绪同样会反过来影响解读者,让结论在不知不觉间被调整。Seeself 想解决的,正是这类系统性问题:先依据盘面与规则推导,再组织为用户能理解的表达,而不是先判断用户想听什么。 从一开始,Seeself 的标准就不是 “生成一段听起来好像很准的话”,而是尽量对标专业真人解读的判断链路。核心报告内置了超过 5 万字的规则、判断路径与输出约束,并采用多步骤推理与海外推理模型,因此成本相对较高,核心报告也一直保留付费门槛。 我知道,今天市场上有很多低门槛、低价格的 AI 玄学产品,低价走量也许是更容易成立的商业路径。但我不希望 Seeself 只是几块钱的情绪慰藉。我们后来上线了更轻量、更便宜、支持免费试用的一事一占,希望让更多人先体验产品;但在核心报告上,仍然坚持不靠压缩规则、减少推理或迎合用户期待来换取低价。 Seeself 想做的,不是

与目标公司的专业人士预约面试练习,提升面试技能。
@yadavdheerajraj · X
Hey Founders @Everyone , We are building a market place for interviewee and interviewer. Anyone who is preparing for interviews can book a slot for real interview with the guy working in that organiation. Please roast my landing page #BuildInPublic.

用100+超逼真AI语音将网页转换为有声书。
@sumark62030686 · X
Just shipped Mark Reader v1.1.6 The most polished AI text-to-speech Chrome extension. 100+ neural voices Immersive reader mode Smart multi-site adapters Zero monthly server cost Try free #ChromeExtension #AI #SaaS #BuildInPublic

创建学习笔记、预测学业表现并生成学习指南的AI平台
@indradevGod89 · X

Free Praxis 5001 (Elementary Education: Multiple Subjects) readiness diagnostic. Answer 12 original questions across all four subtests, get an estimated scaled score, find your wea
@7Sk2n5E8hK98730 · X

在运动员、政治人物和文化名人的实时公众情绪市场上交易。
u/Maleficent-Ad-5181 · Reddit
got roasted, made some changes, ready to get roasted again A few weeks ago, we posted about our marketing, and we got the following feedback on our website: I visited your site and have no idea what it is that you do This site is garbage 🙂 Very confused on what the website is for. Ai slop I have no fucking idea what your company does or how any of what I’m looking at works. Discouraging? A little. BUT it was actually very helpful to hear some brutal feedback we hadn't heard ye

You finish a book and forget it in two weeks. ClearRead turns your PDFs and ebooks into active reading: predict, read, explain it in your own words, then spaced review locks it in.
@T_Long_Game_ · X

收听Ilya Sutskever精选的30篇AI论文的免费音频讲解。
janpmz · HN
Ilya's 30 papers, explained in audio