This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Arlong is a search engine for both AI agents and humans. For agents, it neutralizes prompt injections & provides structured links with threat analysis so your AI Agent Knows exactly which link to use instead of fetching all the pages in a link. For humans, it replaces raw link lists with AI Link Evaluations & cited overviews.
Hey Product Hunt! 👋
I'm Ahilan, and along with Tuhin, we built Arlong.
About 2 to 3 years ago, when AI search was just starting to blow up, we actually built an early version of this. Back then, we ended up calling the project off Fast forward to 7 months ago: we ran an analysis and saw that privacy-focused search still lacked real clarity in the market. We started building a traditional search engine like Google or DuckDuckGo inside Arlong, but quickly realized an even bigger problem: there is no proper search engine built specifically for AI agents.
Normally, an AI agent blindly extracts every piece of raw text from a webpage. During unfortunate edge cases, your agent can easily be poisoned with indirect prompt injection. That is why Arlong AI was born.
For AI agents, Arlong provides detailed, context-compressed overviews with built-in threat analysis so your agent knows exactly which link is safe and useful instead of fetching everything. It comes with multiple modes depending on your workflow, and the MCP server is fully ready out of the box. We already have the Cursor MCP JSON, ChatGPT Plugin, and Codex Plugin available, and we are actively shipping native Claude and other ecosystem support.
Arlong is also built for humans to research and find proof more efficiently. Instead of clicking blindly through blue links, you can type what you need and Arlong fetches the most useful content alongside an AI Evaluation of each link. You get a clear preview of what is inside a page before you ever open it.
We are officially in open beta today! The use cases are wide and variable, so try it out at arlong.org/ai . If you run into any bugs or see systems momentarily down, we are actively monitoring and fixing things on the fly.
We would love your honest feedback, thoughts, and questions below! What features would you like to see next for your agent stack?
I’m Ahilan, and along with Tuhin, we built Arlong AI.
A few years ago, when AI search was first blowing up, we actually built an early version of this. We shelved it, but about 7 months ago, we realized a huge gap in the market: no search engine is built specifically for AI agents.
Normally, when an AI agent scrapes a webpage, it extracts raw text blindly. This creates two massive problems:
Context Bloat: Webpage noise and DOM bloat eat up thousands of expensive tokens.
Security Risks: Scraped text can contain hidden indirect prompt injections that poison your agent or hijack its execution loop.
We built Arlong to fix the retrieval boundary: • Security: Sanitizes untrusted web data and neutralizes hidden prompt injections before they hit your model’s context. • Token Savings: Strips DOM bloat to cut downstream context token usage by up to 85%. • Pre-Click Evaluation: Scores link quality and safety pre-click so agents don't waste budget fetching low-signal pages.
It works out of the box with native MCP support for Cursor, ChatGPT, Codex, and custom API pipelines.
We are live in open beta today at arlong.org/ai! We’d love your feedback, thoughts, and questions. What features would you like to see next for your agent stack?
About Arlong Search AI on Product Hunt
“Innovating the Search for AI Agents and Humans”
Arlong Search AI was submitted on Product Hunt and earned 2 upvotes and 2 comments, placing #119 on the daily leaderboard. Arlong is a search engine for both AI agents and humans. For agents, it neutralizes prompt injections & provides structured links with threat analysis so your AI Agent Knows exactly which link to use instead of fetching all the pages in a link. For humans, it replaces raw link lists with AI Link Evaluations & cited overviews.
Arlong Search AI was featured in Developer Tools (519k followers), Artificial Intelligence (478.1k followers) and Search (18.1k followers) on Product Hunt. Together, these topics include over 205.8k products, making this a competitive space to launch in.
Who hunted Arlong Search AI ?
Arlong Search AI was hunted by Ahilan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Arlong Search AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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