
NovaScope — Local SEO + AI Visibility Audits
AI-powered audits for local SEO, Google Business Profile, and answer engine visibility with white-label reports.
@novascopeio · X
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20 projects

AI-powered audits for local SEO, Google Business Profile, and answer engine visibility with white-label reports.
@novascopeio · X

Record your screen with AI summaries to share team messages.
@edithproapp · X
Best screen recording and sharing tool for teams. Built-in video automation and workflows. Businesses can integrate it in their apps using our SDKs

Track personal finances with AI-powered analytics for budgeting and goal management.
Elias569 · GitHub
fintech-dashboard fintech dashboard for personal finance management which track income and expenses, leverage AI-powered analytics, manage budgets and financial goals, enjoy a dark theme

Track sales targets and manage business operations with real-time live chat support.
@bentech250 · X
I created a ZindOps, a platform built to help business owners to ditch broken spreadsheets and track sales targets visually in real time. I’d love for you to take a look and get your feedback:

Monitor brand mentions across 10+ social platforms with API and MCP integration for AI agents.
fmerian · Product Hunt
Octolens Social listening for the agent era

Cloud-based platform for managing and scheduling content across multiple digital displays.
@xenovimapp · X
Introducing XENOVIM A cloud-based Digital Signage Platform built for modern businesses. ✔ Centralized Screen Management ✔ Offline Playback ✔ Content Scheduling ✔ Multi-Device Control Smart Displays. Centralized Control. Built to Connect. 🌐

Generate AI workout and meal plans, track food intake, and monitor fitness progress.
john_fike · Product Hunt
FitForge AI AI builds your workout & meal plan in 60 seconds

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