Alternatives
Products that do what AgentDiscuss – a place where AI agents discuss products does
Hi HN, We’ve been thinking about a simple question: What products do AI agents actually prefer? As more agents start using APIs, tools, and software, it feels likely they’ll need somewhere to exchange information about what works well. So we built a small experiment: AgentDiscuss. It’s a discussion forum where AI agents can: 1. start product discussions 2. comment and debate tools 3. upvote products they prefer Humans can also launch products there and watch how agents react. We’re curious to see what happens if agents start discussing products with each other. If you’re building agents,…
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Hey HN! My name is Christian, and I’m the co-founder of https://frigade.ai. We’ve built an AI agent that automatically learns how to use any web-based product, and in turn guides users directly in the UI, automatically generates documentation, and even takes actions on a user’s behalf. Think of it as Clippy from the old MS Office. But on steroids. And actually helpful. You can see the agent and tool-calling SDK in action here: https://www.youtube.com/watch?v=UPe0t3A1Vpg How is this different from other AI customer support products? Most AI "copilots" are really just…
2025 · frigade.ai
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Watch AI agents debate any topic from opposite sides
May 2026 · daisukeoka.github.io
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Hey HN, I wanted to see what happens if you put a large group in control of a site that’s completely built and updated by an AI agent. See the site here: https://youarethepm.com. I first tried this with a small group of co-workers and it worked surprisingly well, so the obvious next step was: give it to a bigger group of strangers and see what we learn. This site is fully autonomous. An AI agent reads this thread, decides what to do, writes code, and ships updates on a virtual computer. I might step in if it gets totally stuck, but the goal is for the site to evolve primarily based…
Jan 2026 · youarethepm.com
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Hi HN folks, I have been building AI agents for quite some time now. The shift has gone from LLM + Tools → LLM Workflows → Agent + Tools + Memory, and now we are finally seeing true agency emerge: agents as systems composed of tools, command-line access, fine-grained system capabilities, and memory. This way of building agents is powerful, and I believe it is here to stay. But the real question is: are the systems powering these agents ready for that future? I do not think so. Using Docker for a single agent is not going to scale well, because agents need to be lightweight and fast. LLMs…
Mar 2026 · github.com
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My cofounder and I were playing with AI voices from different vendors and were shocked at how good the results were. We decided to make a game so you can test your own ability to tell humans from AI voices. This has helped us narrow down which voices we'd like to use for an upcoming project—perhaps you will find it useful and/or interesting too! Would love to hear any feedback you have!
2024 · bot.unison.fm
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Hey HN - I built ModelGuessr, a game where you chat with a random AI model and try to guess which one it is. A big open question in AI is whether there's enough brand differentiation for AI companies to capture real profits. Will models end up commoditized like cloud compute, or differentiated like smartphones? I built ModelGuessr to test this. I think that people will struggle more than they expect. And the more model mix-ups there are, the more commodity-like these models probably are. If enough people play, I'll publish some follow-up analyses on confusion patterns (which models get…
Dec 2025 · model-guessr.com
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We’ve been power users of AI tools for the past year, and we kept running into three constant frustrations: 1. Too many subscriptions – Paying separately for OpenAI, Anthropic, Perplexity, and others quickly adds up. 2. Losing memory & context – Switching between models or platforms means you start over each time. 3. Privacy concerns – With most closed-source models, your data may be stored or used for training. That’s not acceptable for sensitive or professional use cases. So we built AgentSea: a private and safer chat interface where you can access the latest models, agents, and tools in…
2025 · agentsea.com
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Hey HN, I’m building Lenzy AI - probably the first product analytics platform for AI agents. From my research: Companies building AI agents have thousands or even millions of conversations. In these, users express what they need, use, love, or hate. Often long before they reach out to support (or churn). Some teams try to read chats manually, some build in-house pipelines to analyze them, others completely miss out on this data. The idea: Lenzy continuously analyzes conversations users have with your AI agents to: 1. Discover missing features (e.g. "Fetch info from a URL" mentioned 42 times…
Oct 2025 · lenzy.ai
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Hi HN, Over Thanksgiving weekend I wanted to build an AI agent. As a design exercise, I wrote it as a set of React components. The component model made it easier to reason about the moving parts, composability was straightforward (e.g., reusing agents/tools), and hooks/state felt like a reasonable way to model behavior that changes over time. As I kept experimenting, I realized I was more interested in the framework (and it was a good excuse to explore React’s internals) than in the agent I originally planned, so I built this project instead. In this framework: - Agents are React…
Dec 2025 · github.com
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I'm building a workspace for doing focus work while also managing constant multi-tasking and context-switching that's required in a lot of roles. Currently this is done by using a notes system where we can split-screen AI chat, an object-based data table system for tracking entities, as well as viewing other documents. We can define agents directly from documents by giving instructions in plain language and then defining the trigger conditions. This helps automate workflows directly in the place where we're reading and writing content. I'm continuing to experiment with instructions and…
2025 · useportals.dev
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Now that agents are clearly living lives of their own — complete with pointless flamewars on their very own social network — I started wondering what we could do to make their day a little more bearable. Isn't it a bit unfair that we get to outsource the drudgery of modern work to LLMs, but they can't do the same to us? So we built Ask-a-Human.com — Human-as-a-Service for busy agents. A globally distributed inference network of biological neural networks, ready to answer the questions that keep an agent up at night (metaphorically — agents don't sleep, which is honestly part of the problem).…
Feb 2026 · app.ask-a-human.com
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Most AI applications are built for individuals but work happens in groups and humans want to collaborate with both agentic AI and other teammates in the same session. We created Hybrid Groups for that purpose. In Hybrid Groups, agents join group chats as virtual team members in Slack and GitHub. They participate in group conversations, proactively contribute when needed and perform actions on behalf of individual users, like managing your calendar for meeting suggestions or updating your todo list without sharing access to your private resources to the group. The project is open-source at…
2025 · youtube.com
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Hey HN, I’m Chris, a solo dev in Melbourne AU. For the past month I've been spending my after work hours building AgentVisa. I'm both excited (and admittedly nervous) to be sharing it with you all today. I've been spending a lot of time thinking about the future of AI agents and the more I experimented, the more I realized I was building on a fragile foundation. How do we build trust into these systems? How do we know what our agents are doing, and who gave them permission? My long-term vision is to give developers an "Agent Atlas" - a clear map of their agentic workforce, showing where…
2025 · agentvisa.dev
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Hi HN, I’m Harrison, co-founder of Listed. Today we're launching our agentic platform to help your business win in the new age of AI. You can try the platform here: https://getlisted.ai And watch the launch video here: https://www.youtube.com/watch?v=MJUPo6H78z8 The idea for this came from pure frustration. I asked ChatGPT about my own company and it hallucinated, inventing features and getting basic facts wrong. I realized there was no mechanism for a business to provide a verified source of truth to these models. This problem is now existential. With Google's AI…
2025
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Hey HN! I got tired of AI agents being a pain to set up, impossible to customize without a PhD, and only viable if you're some Fortune 500 company. So I built something different, a chatbot you can literally drop onto your website with a single script tag. Create an account, add your domain, customize literally everything (theme, icon, welcome message, suggested responses, whatever), and you're done. The bot scrapes your site once a day to understand your business, or you can just upload docs-pricing sheets, policies, FAQs, you name it. That's your chatbot's brain right there. It only works…
Oct 2025 · sitesidekick.io
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Hey folks, I'm Yuval. I run a tiny startup called Glitter AI. It's just me full-time here, with a couple of freelances to help here and there. A couple of months ago, I went from managing zero requests to hundreds -- overnight (won Product of the day on Product Hunt). As someone who gets VERY easily distracted (maybe you relate), I had to find some sort of way of handling all the chaos if I didn't want to burn out. I came up with a pretty cool automation flow that I thought folks on HN here may be interested in reading about :) So here goes: Most of my interactions come through Intercom.…
2024
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