
The Amazon Profit System for Sellers & Agencies
Bidventor 帮助亚马逊卖家优化产品列表和广告支出以增加利润。
@adeelimrani · X
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Bidventor 帮助亚马逊卖家优化产品列表和广告支出以增加利润。
@adeelimrani · X

自动同步你的monthly recurring revenue到X profile
@arpit_goriya · X

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

AI交易日志,导入交易并追踪睡眠和压力来发现成功的驱动因素。
@QuantBuddyAI · X
And just getting started!!

4ollower:创作者专用dashboard,追踪增长、管理品牌合作和财务。
@BayofDomain · X

输入个人信息,Soulmate Sketch 在几秒内为你生成灵魂伴侣素描。
Soulmate Sketch|AI 灵魂伴侣素描(占星画像生成) — 用 AI + 占星,为你生成专属的黑白手绘风格“灵魂伴侣画像”;10–20 秒极速呈现,多语言网站,移动端友好

WhatsApp上的AI个人助手,自动管理提醒和支出追踪。
u/Limp-Upstairs6798 · Reddit
People don't want another productivity app I've been building an AI personal assistant that lives entirely inside WhatsApp. Instead of asking people to download yet another productivity app, create an account and learn a new interface, they can simply send a message like they normally would. For example: - "Remind me to pay rent next Friday." - "I spent $28 on groceries." - "Remember my passport is in the top drawer." - "Add milk and eggs to my shopping list." - "Share this shop

印度商务匹配平台PitchConnect,帮助您连接投资者和商业伙伴
@sanskarbansal93 · X
We're building PitchConnect — a platform where founders connect without the usual noise. I'd love to have you onboard. Platform:


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.

在一个仪表板中追踪支出、订阅和定期付款。
@tauro2585 · X
All your finances in a single clear platform.

YouEx.ai 是面向 B2B 销售团队的 AI 原生 CRM 平台,自动捕获、丰富、评分和分配线索。
u/youex-ai · Reddit
Built a CRM w/ MCP -- Biggest misunderstanding on first look? We launched an MCP connector a few weeks ago that connects our CRM data. We're still working through our product market fit, so I asked Claude What is the biggest thing people misunderstand about YouEx.ai when they first see it? I was actually not even thinking about researching our actual CRM data, but that's what it did. The answer was actually really insightful: Your own data points at it: a large sha