Like many of you, my browser setup is a mess. I use Chrome for work (so I have my work profiles and extensions), Safari for personal browsing (better battery life), and Firefox/Arc for testing.
If you've worked with proxies at scale, you know the pain: frequent IP bans killing your scraping jobs, unstable connection speeds derailing automation workflows, opaque pricing that balloons unexpectedly, and integration docs that make even simple setups take hours. We've been there too.
That's why we built Pxyedge a rotating residential proxy platform designed for developers and growth teams who need reliability without the headaches.
I m trying to understand how builders are handling this. AI agents are moving from generate text to take actions : - run shell commands - call APIs - modify GitHub repos - access databases - trigger deploys - send webhooks/emails - use MCP tools Prompt injection feels much more serious once the agent can actually execute something. My current thinking is that teams need a checkpoint before execution: agent wants to call a tool policy checks the tool + args action is allowed, blocked, or logged agent continues or stops I m building a small tool around this called Relay, but I m mostly looking for feedback from people building agents. What would you block by default? My current list: - destructive shell commands - repo deletion / force push - database drop / truncate - production deploys - secret access - outbound calls to unknown domains - emails/webhooks with sensitive data Curious how others are solving this today: - allowlists? - denylists? - human approval? - sandboxing? - audit logs? - MCP gateway? - custom wrappers? Relay is here if useful: https://relay-security-lemon.ver...
I'm building AIOProductOS (launching here August 2) a product operating system where every customer is one record joining revenue, feedback, work, and code, and AI teammates work the board like colleagues.
The pre-launch problem every maker knows: your quality claims are worthless because you wrote them. "Blazing fast," "AI-native," "developers love it" all noise until someone who isn't you says it.
Hi Product Hunt! We're CollabX, a platform connecting students with startups, researchers, companies, and government organizations to solve real-world challenges and gain meaningful experience. We're launching today and would love your support! If you get a chance to check us out, we'd really appreciate your review,feedback, and constructive criticism.Every insight helps us build a better product. Thank you!
After trying dozens of APIs for SEO, SERP data, scraping, AI, and social media, I got tired of juggling different providers, authentication methods, and pricing models.
That's why I've been using YepAPI.
It brings 130+ endpoints together under a single API key, covering things like:
Google SERP & keyword data Backlink and domain analysis Web scraping with JavaScript rendering AI models through one OpenAI-compatible endpoint YouTube, TikTok, and Instagram data
Curious how other early-stage founders and product people manage this.
If you have more than 100 customers, feedback starts to be in 5+ tools, and the synthesis process becomes opening 30 tabs, hoping nothing important is skipped for the questions:
