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60 projects
分析特斯拉市场数据生成个性化购买建议。
@TeslaBuyerRadar · X
Love this. Learned to code in the ‘90’s but never could tolerate the tediousness of it. This is my era. I vibe coded and I want to vibe code a Pubky app.
在30+个社交平台监测购买信号，用AI评分销售线索
@TBerguer · X
The goal is to find theese guys 😋
使用客户痛点、竞争信号和市场数据发现并验证AI产品机会。
vinitk80555 · HN
AI Product Opportunity
用倒计时和强制理由提示在结账时暂停冲动购物的Chrome扩展。
@Nickdfairclough · X
实时监控小市值加密货币，根据流动性、动量和供应量评分推荐买入机会。
@lennykangat · X
Check out what I just built with Lovable!
部署自动进行销售的AI代理，通过电话、邮件和短信全天候工作。
@shubhdholakiya_ · X
building an autonomous ai agent sales team. tired of standalone apps, so i built a multi-layered sales brain that actually executes the pipeline and closes the deals.
Trigol.io delivers daily AI-powered buy signals on US stocks using 500+ Machine Learning models. 76.31% win rate, 3.07 Sharpe Ratio. Start your free 15-day trial.
@MarketMagnifier · X
Predictive AI engine for traders!
Crypto Snapshot Pro — 获得500+加密货币对的AI交易信号，通过x402协议用USDC支付。
@VitalijMatros · X
The vibe-coding era is wild for PvP mechanics, but you still need solid data to navigate which protocols survive the chaos. My signal service actually uses AI analysis on every call and it's saved me from some brutal positions.
Get listed with any amount from US$5, choose your opening simulated value, then read the crowd through free LONG and SHORT interest signals.
@MarketPeel · X
just launched — a stock market for people. IPO yourself from $5, choose your ticker, set your opening valuation and let the internet go LONG or SHORT on you. no shares, no trading. just a very serious-looking popularity contest. who’s claiming the first listing?
通过追踪购买信号和评分潜在客户，在LinkedIn上自动预订演示会议的AI代理。
@nickventuri · X
building to book high intent demos on autopilot founders just show up to meetings
FAIR continuously scans M&A activity in your tech sector and delivers weekly intelligence on potential buyers, market moves and timing — so you can sell on your terms, at a fair pr
@x23labs · X
使用 AI 驱动的市场洞察和实时图表进行加密货币交易。
@Chukwumaeke03 · X
Check out what I just built with Lovable!
