
LandingBoost – AI Landing Page Audit Tool with Revenue-Backed Benchmarks
LandingBoost 用 AI 审核 SaaS 着陆页并提供改进建议,提高清晰度、信任度和转化率
@yusukelp · X
Here’s mine!
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LandingBoost 用 AI 审核 SaaS 着陆页并提供改进建议,提高清晰度、信任度和转化率
@yusukelp · X
Here’s mine!

在全球交互式地图上发现初创创始人、独立黑客和 SaaS 构建者。
@CiprianiRanieri · X
Builders Map: community of builders from all over the world.

通过产品URL生成SaaS营销视频和广告。
@GaneshNayak__ · X
— an AI Marketing Team for B2B SaaS founders. It generates motion graphic SaaS videos, image ads, and carousel ads on autopilot — no editor, no designer needed. Check it out 👇

使用工具定义AI代理,让Nvoken管理对话、记忆和客户账单。
myzie · HN
I built several harnesses in different products over the last two years. Fully agree with you that doing it right is a rabbit hole. Certain system properties that you almost always want in a harness used within a SaaS (for example) are non-obvious at the start and require certain architectural choices. It's easy to start down a path and then find a gap a couple days before launch. Async tool calls, having the agent wait indefinitely for a human response, and showing a form or questions to the us

"FortSoftware company" "Most simple crm" "CRM that allow Migrate Excel data" "Ticketing system" "SaaS CRM" "Jonathan brahmi"
@JonathanBrahmi · X

统一后端平台,为 SaaS 和 AI 公司提供身份验证、支付、客户数据库和分析。
@NikChr1414 · X

AI驱动的客服平台统一管理邮件、实时聊天和社交媒体。
@parvezvai · X

通过分析支付信号和流量趋势发现独立开发商业机会。
lisiqi521 · V2EX
做了个独立开发机会雷达:从 Stripe / Creem 等支付与流量信号里找选题 大家好,最近看到不少「帮独立开发者找方向」的产品上线。 我之前调研产品时,积累了一些围绕独立产品的数据:新上线网站、流量变化、自然搜索需求,以及 Stripe 、Creem 、LemonSqueezy 等支付技术栈和公开可观测的支付交互信号。 这些信号当然不等于平台官方交易数据,也不能直接证明一个产品一定赚钱;但和流量、上线时间、跨月走势结合起来看,能帮助判断一个方向是否已经有真实的商业化尝试和增长迹象。 最近把这套调研工具部署到了线上: https://whattobuild.today/ 目前主要可以用来: - 发现新上线的 SaaS 、AI 工具和独立产品 - 查看流量、搜索需求和增长趋势 - 观察 Stripe 、Creem 、LemonSqueezy 等支付相关的公开信号 - 结合多维信号,把项目初步归为 Watch / Build / Skip 它更像是“缩小调研范围”的工具,不是自动选题器。最终要不要做

Accurate MRR, churn and LTV for SaaS, built from your Stripe, Paddle, Creem or Asaas billing data. Then ask Kometrics AI anything about your revenue and get an answer with the repo
@camposped · X
Subscription metrics for the AI era:

浏览220多个电商工具,识别哪些可以用AI重构。
@andreasacca · X
Inspired by @robj3d3’s that went viral last week. Over the past year working with ecommerce brands I kept hearing: “I only use 10% of this SaaS and I’m paying hundreds for it.” So I built the Ecommerce focused version: 200+ tools analysed. Honest verdicts on what you can realistically vibecode. Vibecoded entirely with @Lovable + some fixes, starting from the prompt taken from First detailed analyses coming soon. Reply with the tool you pay for every month. Thanks @robj3d3 for the inspiration! Loving X

用二维码、NFC和自定义域名创建数字名片。
@NativeCodeIn · X

从Search Console发现SEO机会,用AI生成符合品牌的文章
u/eashish93 · Reddit
I built an AI SEO tool that hooks into Search Console and tells you which articles to fix I've been building Kitful for a while because AI writing tools drove me a little nuts. Most of them are just volume machines: generate 200 articles, hit publish, pray something ranks. Usually nothing does. Kitful still writes the article, but the part I actually care about is what happens after. It connects to your Google Search Console, watches how each page performs, and flags the one