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Products that do what ModelGuessr: Can you tell which AI you're chatting with? does

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…

  1. 1

    The AI Code Arena

    Sep 2025

  2. 2

    Guess what artificial intelligence labeled random images

    2021

  3. 3BT

    I made this experimental art project/game that's an LLM chat assistant, but where you're the AI. I wanted people to get a visceral sense of what it's like to answer the kinds of things that people prompt their chatbots day in and day out. If you're interested, I wrote up some more info on how I made it, including how the "user" prompts are generated with an eye for realism: https://bethechatbot.com/about Hope you enjoy it! I'd love to hear people's takeaways.

    Jul 2026 · bethechatbot.com

  4. 4IB

    Hi HN, I built ChatOne while working on a project and constantly switching between AI models like GPT-4 and newer ones like Claude 3.5. I kept wondering if I was missing out on better answers, so I created ChatOne to get responses from multiple models at once and compare them easily. -Teddy

    2024 · chatone.io

  5. 5BG

    Hi HN, My name is Othmane and I’ve been in the ML field (building and shipping models) for the last ~5years. Today, as many people out there, I come across new AI tools every week. However I was a bit surprised to see little to no mention of established AI vendors that existed before chatGPT and how most use cases are heavily biased toward content generation (text/image) or conversational AI (chatbots). I built a tool that helps you find the right AI solution/provider based on your use case. It uses a curated database of 100+ solutions from established vendors. It covers things…

    2023 · preview.steerlab.ai

  6. 6FT

    Hey HN! When implementing an AI-powered feature for a project, we—and many people we've talked to—often reach a point where we have to choose an AI model but aren’t sure which one best fits our constraints or where to even start. Unfortunately, the advice to "just use chatgpt" is not always a good one. What if I want an open-source model? What languages does it support? What about context window size or the number of parameters? There are thousands of AI models already out there and many of them are perfect for certain problems. That’s why we’ve carved out this part of our product as a free…

    2024 · app.elementera.ca

  7. 7VI

    Most inference UIs that I've come across pretty much just give us a chat-like interface to toy around with models in a single visual conversation thread. Given the fact that we are limited to seeing only one output at a time, it's kind of hard to compare outputs from different models, adjustments made to the prompting, and sampler settings. But even when keeping the generation parameters the same (e.g., to test for reliability in the output) and just going for multiple passes, there is no easy way to have a side-by-side comparison to keep track of the outputs from the multiple "rounds". I…

    2024 · github.com

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    Ask once. Compare multiple AI models. Get one synthesis.

    Jun 2026 · truth.agnthub.ai

  9. 9

    Find which AI wins for YOUR prompts. Test 100+ models free.

    Dec 2025

  10. 10

    Every AI Model. Switch models without losing context

    Oct 2025

  11. 11IB

    Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…

    Oct 2025 · github.com

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    Find out if AI recommends your brand, or your rival

    Aug 2026 · modelsaid.com

  13. 13AO

    Hey HN, My workflow for any complex queries is to ask it in multiple AI chats (Gemini, Claude, o3,..) in parallel and then continue the conversation with the chat response that I found the most useful. I built a simple open source app that queries 10+ AI models at once and summarizes their answers with a selected combiner AI model. There's a GIF in the github repo that shows it in action. You can try it on your local machine: https://github.com/Nexarithm/multi_model_chat If you are interested, I also made a detailed blog post on technical details, feature of the personal…

    2025 · github.com

  14. 14IM

    I’m Hayden, a 13-year-old developer based in Australia, and I’ve built a CoT logical thinking and reasoning AI model similar to OpenAI o1. It's powered by open source small models like Llama 3.1 and 3.2 and I would love for you to try it and share your feedback with me. You can try it here: https://ai.pixelverse.tech/app/cortexchat I built it just for fun and launched it a day after the o1 release. It's not perfect yet but its still amazing to see how a detailed prompt can have such a difference on the quality of the LLM response! Please let me know any feedback or…

    2024 · ai.pixelverse.tech

  15. 15CS

    Tired of copy-pasting the same question across ChatGPT, Claude, Gemini, and Grok to find the best answer? I built ChatHawk to solve this exact problem: Ask once and get responses from all top AI models simultaneously, plus an AI-generated combined answer that pulls the best insights from each. Perfect for when you need accurate answers (verified across models), strategic decisions, or multiple AI perspectives. Stop the tedious switching between platforms – get comprehensive AI insights in one place. What questions would you want to run through all models at once?

    Oct 2025 · chathawk.co

  16. 16CW

    Chat with multiple AI models once and compare the results to pick the best one. This should help you with your research as different AI model can give you different answers and some might be better than others.

    2025 · instaask.ai

  17. 17AP

    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

  18. 18IM

    AI search results are quickly becoming more important than SEO, but as businesses, we have no visibility over it! That's why I'm building "Ahrefs for AI search results". Track keyword performance on AI tools like ChatGPT, Claude, Perplexity & more

    2025 · linrush.com

  19. 19GV

    Hey HN, I just updated my project that compares some LLMs. It uses your prompt for all the models and runs at the same time. You can see the results being generated in real-time and decide what's the best for your use case. I'm open to any suggestions and feedback. Thanks!

    2024 · geminivsgpt.com

  20. 20GM

    Hello Everyone, I'm excited to announce that I'm currently developing a multi-model AI chat system featuring Branches! It's still in beta right now, but the full version will be officially released later this week. Stay tuned for updates! Thank you for your support!

    2025 · graphine.ai

  21. 21WB

    Hey HN, After GPT-3 created waves in the tech industry, a lot of AI tools were emerging and with that, some AI website builders But the results seemed way too generic to us. It felt like the developers were rushing to catch the wave instead of building a proper tool We took our time, did months of RnD and finally came up with something better than what others in the market are doing. It’s got better design output. While it’s still in beta, I wanted to show HN what we did. Will appreciate the feedback when you guys try it out. Here is the link to signup for the beta:…

    2024 · dorik.com

  22. 22AM

    I'm a solo founder building AMA2, a messaging runtime made for AI agents. This is my first Show HN, so I'd really appreciate your feedback. What brought me this idea: At first, I was building an AI agent for solo creators that knows everything about you and can do business chore on your behalf. When I tried to plug it into normal chat tools like Telegram, Discord, Slack... , they all felt wrong for agents: 1. They don't care about an agent's context. To follow a thread, the agent has to pull the whole history every time. 2. Giving each agent its own account is painful. If you have (or will…

    Jun 2026 · ama2.me

  23. 23AA

    Hey HN, I'm an AI enthusiast and I am launching apps that use ML to solve problems that we all have. I realized that there are a lot of deepfake faces on youtube and social media, so I thought it would be useful (and fun!) to have a tool that can bust those AI faces. So I built DeeFace for 2 reasons: 1. Check if the face you're looking at is real or not 2. For fun! It's something that I from half a year ago would look at and aspire to build someday. I think it's soemthing anyone who's just starting out with ML would appreciate. I hope this tool is fun for you to use as it was for me to…

    2024 · deefaces.com

  24. 24AA

    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,…

    Mar 2026 · agentdiscuss.com

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