Finance & Business1 month ago
CandyHunt | Airdrop & Anomaly Intelligence | CandyHunt
Detect cryptocurrency airdrops and market anomalies with AI-powered intelligence signals.
@Candyhuntxyz · X
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26 projects
Detect cryptocurrency airdrops and market anomalies with AI-powered intelligence signals.
@Candyhuntxyz · X
Analyze why your Meta ads work with AI-powered creative intelligence.
@TheChrisMarrano · X
Trading signals for the AI & Robotics sector with published track record.
@TradingResXYZ · X
Material catalyst events scored by our research pipeline — every call logged on issue, auto-closed on its holding period, and benchmarked against the sector ETF. The track record is the pitch.
AI research and outreach agent that generates personalized cold messages.
@Aryan_2190 · X
Hyper Personalized Outreach for B2B
AI agent that browses developer communities, scores relevant posts, and drafts replies in your voice.
@snipextt · X
i'm building to solve build products fast and also to build presence fast :)
Ask an AI oracle for cross-sector market signals, trends, and intelligence.
@PythiaAIOracle · X
AI-powered CRM platform for sales pipeline management and customer insights.
@SaikatKuma87126 · X
Just shipped AI CRM 🚀 A lightweight CRM with AI-powered sales insights. Would love your feedback: Building with Next.js + Prisma + Gemini AI. #buildinpublic #NextJS #AI
AI-powered terminal for analyzing IDX stocks with broker analysis, foreign flow tracking, and technical signals.
@eglant_stock · X
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Package, share, and compose AI intelligence modules in an open registry.
@ChakreshBuilds · X
AI-powered security scanner for AWS that identifies and remediates vulnerabilities automatically.
@GlenLouis08 · X
lets connect! building this
AI-powered code review that runs code in microVMs to catch more bugs.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db
Live feed of investment signals extracted daily from earnings calls, interviews, and podcasts across AI, robotics, and space.
@Tradescript_HQ · X