金融商业1 week ago
Your next customers are already asking | ReachFast
在社交媒体上查找按购买意向排名的潜在客户
sc4p1n · HN
I built a tool that finds people asking for what you sell
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在社交媒体上查找按购买意向排名的潜在客户
sc4p1n · HN
I built a tool that finds people asking for what you sell
浏览和出价购买产品、品牌和创作者的排名。
@DavideZanon · X
Stage: live MVP, not “idea.” makes every leaderboard title an openly purchasable position; highest bid wins. The question we’re testing now is whether visitors see a title they’d want to own before they see “another paid ranking.”
通过WhatsApp和Instagram为店铺自动化客户服务与订单处理。
@HopeEjejigbe · X
使用AI自动分类邮件并生成智能回复。
@HarshKharw26262 · X
Just shipped SortMail for the @meshapi_ai #MeshHackathon! An AI-powered Gmail inbox assistant that automatically classifies emails using GPT-4o. Live: GitHub: #MeshHackathon @meshapi_ai #BuildInPublic #FullStack #WebDev #OpenAI
A leaderboard sorted by money. That's the whole algorithm. Pay more, rank higher.
@Klonoprince · X
帮您找到理想客户并优化营销时机的AI工具。
@FondoAdam · X
#marketingtips
A wall of links ranked by one thing only: what people paid to be there. Pay more than the top and the top is yours.
@Tig3rtoni · X
outbid type board but I give 50% back to founders - currently 251$ - go get it!
根据出价排名的产品排行榜，提供点击计数和返回链接。
@111irzo · X
Just shipped something? Reply with your link and I'll put it on free — your own page, a real link back to your site, and a public click count. It's a leaderboard ranked by what each listing paid. Brand new, so I want real products on it. #buildinpublic
Kairo 扫描 Reddit，找到在寻找你的产品的用户，自动推送客户线索。
@Emmanuel1134541 · X
If u ain't getting users to your product try it free though
Pay to rank higher. Put your product in front of everyone watching the board.
@DivyeshChu81258 · X
在 Reddit、X 和 Hacker News 上搜索你的产品话题，找到潜在客户并评分购买意图。
@borhensaidi113 · X
If you’re struggling to find qualified leads, give MentionLeads a try. It discovers conversations where people are actively looking for solutions like yours.
追踪访客转化为客户及其来源的分析平台
@omarwaleedzen · X
DataLook - analytics that counts customers, not clicks. Your dashboard shows 100 numbers. DataLook shows the one that matters: which visitors actually became customers, and where they came from.