Entropy0

@hthieblot Trust

pitch me your company in 1 word.

@yusukelp A trust gate for AI agents — checks if a domain is trustworthy before your agent fetches from it. Try it live, no signup: entropy0.ai/playground Type gogle.com and see what happens.

Good morning builders☀️ What are you working on this week?

@alexwtlf A trust gate for AI agents — checks if a domain is trustworthy before your agent fetches from it. Try it live, no signup: entropy0.ai/playground Type gogle.com and see what happens.

what are you building this week? Share your project👇 (40k+ views last month)

@code_codeforge A trust gate for AI agents — checks if a domain is trustworthy before your agent fetches from it. Try it live, no signup: entropy0.ai/playground Type gogle.com and see what happens.

What are you building today? Let's gain some publicity for you

We ran 107 AI tool domains through our trust engine. Most scored clean. But a few well-known names triggered false positives — because they sit behind shared CDN infrastructure where other tenants have bad reputations. The lesson: domain trust isn't just about the domain. It's about knowing when a signal belongs to the infrastructure, not the site. That distinction is the difference between a useful trust gate and an annoying one.

Agent-native trust is one of those categories. The internet was built with visual cues for human judgment — padlocks, brand recognition, URL bars. Agents have none of that. Before we rebuild search, commerce, and discovery for agents, someone has to rebuild source verification for them too.

True for code vulnerabilities. But AI agents are creating new ones that didn't exist before — fetching from untrusted sources, acting on poisoned content, treating every domain as equally trustworthy. Those holes weren't already there. They're being built right now.

Right now each evaluation is point-in-time with a bounded validity window (TTL). If the agent re-fetches after expiry, it gets a fresh evaluation. Tracking how a domain’s trust posture changes over time is on the roadmap — temporal state transitions across evaluations. That’s the layer that catches domains that were clean last week but changed infrastructure since.

@entropy0ai @RoundtableSpace domain verification before retrieval instead of after is the right order. does it handle cases where a domain changes trust status mid-session?

What are you building today?

At inference time — every fetch gets evaluated before content enters context. The gate sits between the agent’s retrieval decision and the actual HTTP call. Works as a LangChain/LlamaIndex tool, so the agent calls it inline as part of its reasoning loop. No batch preprocessing needed.

@entropy0ai @christiangori96 source validation for AI agents is the problem everyone will hit once they're running RAG in production. is it checking at inference time or upfront during ingestion?

We’re securing what agents can do. But agents don’t get compromised by actions. They get compromised by what they read.

@audiencon A trust gate for AI agents — checks if a domain is trustworthy before your agent fetches from it. Try it live, no signup: entropy0.ai/playground Type gogle.com and see what happens.

drop your project i’m boosting builders tonight 👇

The agent security conversation keeps splitting into two halves: → What the agent is allowed to do (actions, tool calls, permissions) → What the agent is allowed to read (source trust, retrieval governance) Almost all the tooling is on the first half. The second half is wide open.

@neon_time A trust gate for AI agents — checks if a domain is trustworthy before your agent fetches from it. Try it live, no signup: entropy0.ai/playground Type gogle.com and see what happens.

Builders quick one 👇 What are you working on right now? Drop your product, idea, or side project. I'm curating a few to feature on EverFeatured. Let's get more eyes on your work 🚀 #buildinpublic #indiehackers #makers #startup #launch

Fair point — the split isn't static. Structural detection raises the floor, and techniques adapt upward. But the economics still hold. Structural tricks are cheap and scalable — hidden text, delimiter injection, comment-based payloads cost nothing to deploy across thousands of pages. Semantic manipulation requires crafting content that passes as legitimate while steering agent behavior. That's expensive per-target. So structural detection doesn't eliminate the risk — it makes mass-scale injection uneconomical. The remaining semantic techniques become targeted, lower volume, and higher effort. Different risk profile, different defense layer.

Most people focus on what an agent outputs. Much fewer focus on what the agent is allowed to read in the first place. That inbound trust layer matters more than people think.

AI agents fetch from any URL with zero source verification. We built the trust gate. entropy0.ai — deterministic domain trust scoring before content enters model context. One API call, three scores (trust/threat/deviation), returns proceed/sandbox/deny. Live playground, no signup: entropy0.ai/playground

I’m angeling in one more project! 10k check Extremely impressed by the 2026 founders I’ve seen so far! Drop your project url + I’ll shout out some projects

Typosquats don’t need to be sophisticated. gogle.com — one letter deleted, registered for 5+ years, valid TLS, MarkMonitor registrar. Looks clean on every infrastructure signal. The only thing that catches it is comparing the domain name against known brands. Most systems don’t do that check.

🔎 OSINT Tool: Reverse WHOIS & Domain Research Made Easy Most people use WHOIS to check a domain’s registrant BUT they don’t realize you can search backwards from names or email addresses 🔁 One of my go-to tools for expanding domain footprints is WHOISFREAKS 🧠 With it you can perform Reverse WHOIS searches by: 📌 Owner name 📧 Owner’s email 🏢 Company name 🔑 Domain keywords Plus it gives you access to other domain data gathering tools 🌐 So you can pivot from one discovery to the next without losing context In OSINT, being able to find all domains tied to a person or organization can unlock connections you’d otherwise miss 📈 This is especially helpful when: 🔎 Building entity profiles 🌍 Mapping an organization’s web presence 🧾 Investigating ownership overlaps Tool link: whoisfreaks.com/tools/user/who… --------- If you want to learn more about email OSINT and more, check out the OSINT Mastery course at cybersudo.org/osint-mastery you’ll learn OSINT from scratch with a real-life investigation. P.S. ♻️ Repost if you found this helpful.

@leo_giulianii @ionleu Thanks! That's exactly the direction — it already plugs into LangChain and LlamaIndex as a native tool, so agents run the trust check automatically before fetching. Working on deeper framework integrations next.

@entropy0ai @ionleu this is actually really good, you should try to directly implement this into the AI

drop ur startup link