Alternatives
Products that do what Marqt.org lets you vote on the truth does
I'm Arthur, and I wanted to share an MVP for Marqt.org, which lets you crowd-source the truth. John Stuart Mill said that "Truth emerges from the clash of ideas." In that spirit, Marqt brings two adversarial sides together to quantify truth and showcase the best arguments for each side. It is inspired by markets, where buyers and sellers discover a product's true price and update it dynamically. The ultimate aim is to build an open-source semantic knowledge base that represents the collective wisdom of humanity in real-time. If we can do this, I believe it can solve the problem of…
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Hi HN! I made a really quick web app to help people validate their ideas. The app is a simple landing page builder, but every page includes a really simple Yes/No "Are You Interested?" poll. Every vote is recorded and tracked, and if they click yes they are brought to a page where they can submit an email. This makes validating ideas super easy because you can post your link to different communities and get statistically significant results as well as build an email list. Given an hour, you could easily create 50 different landing pages and be able to validate your ideas in bulk. The…
2020
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Hey HN, I have been working on using the info-gathering and truth-seeking properties of the markets to get more honest reporting on all sort of things. The idea is to have a market game where people can wager a fake currency on what think is true and then, the citizen reviews the crowd-sourced information and makes a judgement about which position has the best case. It is crowd-sourced journalism with a market game. Please let me know what you think and my email is [email protected], if you have any questions.
Sep 2025 · thecitizen.io
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2015 · rationalfiction.io
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I built a tool to solve a problem I kept running into: I was making product decisions based on guessing instead of real users. I kept building stuff nobody wanted as I was usually wrong. So, I built HolyShift: AI agents that validate product ideas by talking to real people on Reddit, HN, X, and LinkedIn … then generate a detailed GTM and “Should we build this?” report. No synthetic data (ChatGPT). No predictions. Only real conversations from real people. What it does • Posts platform-native questions (where allowed) • Collects real reactions, objections, pricing signals • Clusters feedback…
Nov 2025 · app.holyshift.ai
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I wanted a way for people to support companies and people that align with their political beliefs. Additionally, I think it can serve as a valuable, source-linked public ledger of who said and did what over time, especially as incentives change and people try to rewrite their positions. This is fully AI-coded, researched, and sourced. Additionally, AI helped develop the scoring system. The evidence gathering is done by a number of different agents through OpenRouter that gather and classify source-backed claims. The point of that is not to pretend bias disappears, but to avoid me manually…
Mar 2026 · magaornot.ai
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Hey HN, I'm a founder at Ovlo a supply chain company.I had a problem. After every batch of customer interviews/research/feedback sessions, I'd run ideas through an LLM to help me decide what we should build next. Except it was obvious to my cofounder I wasn't really validating anything. LLMs are incredibly good at agreeing with you in subtle ways, especially when you feed them context that already reflects your thoughts. I'd ask "Does this make sense?" and get a beautifully worded essay about why yes, obviously, this is the best thing ever. I was using AI as an echo chamber without…
Dec 2025 · roundtable.ovlo.ai
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Ever wish you could get the best arguments for both sides of a debate? I built an AI-powered debate platform that pits language models against each other on controversial topics. Each AI is randomly assigned a side (pro/con). You vote before and after to see if you were persuaded. Most content today presents lopsided arguments. They provide strong points for one side, weak ones for the other. This project aims to surface the strongest arguments from both sides, using LLMs to simulate a fair debate. With enough usage, I want to use it to benchmark LLMs. My hypothesis is that randomly…
2025 · bot-bicker.vercel.app
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I haven't seen anything like this so I decided to build it in a weekend. How it works: You see a bunch of things pulled from Wikipedia displayed on cards. You ask yes or no questions to figure out which card is the secret article. The AI model has access to the image and wiki text and it's own knowledge to answer your question. Happy to have my credits burned for the day but I'll probably have to make this paid at some point so enjoy. I found it's not easy to get cheap+fast+good responses but the tech is getting there. Most of the prompts are running through Groq infra or hitting a cache…
Apr 2026 · sleuththetruth.com
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Hi HN, My name is Sapiens. I started learning about Reason and Science well into my 30s. I'd be fair to say that the Skeptic and Humanist communities saved my soul. So I made a mind-calibration tool in service of the cause. It's an app that quizzes the user about myths and misconceptions. By exploiting the resulting cognitive dissonance, it helps retune the user's confidence levels in their beliefs and improves their mental models. The tool uses Brier's so-called "proper" scoring system, a ruthless squared-error-loss scale (Brier scoring is widely used by intelligence agencies to align their…
2025 · memevaccine.com
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Hi HN! I'm Anand, and I’m launching CQ2 (https://cq2.co) – a tool for thoughtful and coherent discussions. Discussions using existing written communication tools often turn into a tangle of sub-discussions around quotes, making it hard to follow. There's no clear view of all the comments in a specific sub-discussion and how the sub-discussion is related to its parent, forcing constant scrolling and hopping between comments to gather context for a meaningful response. On top of all that, it's tough to tell if any key points were overlooked. Meetings are hit-or-miss. When it comes to…
2024 · cq2.co
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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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Finding the balance between humans and machines has been the thread through my career. I always had a thing for AI and couldn't wait for it to actually deliver on what was promised. Now it does, and it's more important than ever that humans and machines keep working well together. AI makes creation trivial. Text, code, design, strategy, in seconds. But one thing AI does not create: independently verifiable proof of when something existed. Reproducing is now cheaper and easier than creating. Chronology becomes contestable at the moment it matters most. The universal problem was known. I…
Mar 2026 · umarise.com
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Hey HN, Since the launch of GPTs, I’ve struggled with integrating vast, up-to-date knowledge into a custom GPT and embedding it into websites and apps. After months of trial and error, we’ve developed an AI Search & Knowledge Assistant that solves this problem. Over the weekend, I built a demo assistant for Stripe that provides accurate answers, useful links, images in responses, cites sources, and keeps a thread history of your conversations. Here’s what’s included: - 3,700+ public documents full of useful info - 105+ million characters of rich knowledge - Powered by the ChatGPT-4o model…
2024 · demo.ordemio.com
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After reading the book Getting to Yes, I really want some tool to help me negotiate more efficiently without having to memorize everything principle. You start by putting in interests of each party, then you can explore different functions: how to respond to the other party, explore objective criteria out there or brainstorm more negotiation options. Still working on it! Leave me feedback if you have any suggestions!
2025 · negotiator.randomshit.world
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I've been lurking on HN for years. You know the drill: interesting headline, 200+ comments, you dive in thinking "I'll just skim for 5 minutes"... and an hour later you're 36 chambers deep in a thread about memory allocation patterns in Postgres and you've completely forgotten what the original article was about. I don't just want a "summary" (which usually just shortens the noise). I want the meta-consensus: "What is the actual trade-off being debated? Who is winning the argument? Why does this matter?" So I built HNSignals. Think of it less like a "summarizer" and more like a Chief of…
Jan 2026 · hnsignals.com
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Hey folks, I’m the creator of WFGY — a semantic reasoning framework for LLMs. After open-sourcing it, I did a full technical and value audit — and realized this engine might be worth $8M–$17M based on AI module licensing norms. If embedded as part of a platform core, the valuation could exceed $30M. Too late to pull it back. So here it is — fully free, open-sourced under MIT. --- ### What does it solve? Current LLMs (even GPT-4+) lack *self-consistent reasoning*. They struggle with: - Fragmented logic across turns - No internal loopback or self-calibration - No modular thought units - Weak…
2025 · github.com
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I built a local-first UI that adds two reasoning architectures on top of small models like Qwen, Llama and Mistral: a sequential Thinking Pipeline (Plan → Execute → Critique) and a parallel Agent Council where multiple expert models debate in parallel and a Judge synthesizes the best answer. No API keys, zero .env setup — just pip install multimind. Benchmark on GSM8K shows measurable accuracy gains vs. single-model inference.
Mar 2026 · github.com
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The first ever AI peer reviewed research article just got approved. It’s kinda crazy how advanced AI have come to replace researchers. I've just been using Deep Research on ChatGPT and Perplexity a lot to write and research complex technical reports for my boss. He loves the reports and it has decreased my workload a ton but I still have some frustrations with it. None of them provide an API that gets me the same quality of output you would with the applications. I wanted something with more control on the LLMs, swappable with the reasoning new models that came out. Not just prompt →…
2025 · github.com
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Hey there, While searching for my next role as a PM in Blockchain + AI, I started building an AI-powered notetaker called MindNote: https://www.mindnote.online. The idea is simple: you input your thoughts, and AI helps you complete or modify them. If you decide to test it, try using the prompt: Keep this text and…"(add budget, complete list, organize alphabetically, add their translation, etc.). The first big release is all about modifying your notes with AI prompts. The next big step? Capturing thoughts directly from the mind using brain-to-text technology. There is a 3 days free…
2025
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Research platform that measures which arguments change minds
Jul 2026 · delphipythia.xyz
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I wanted to find a product idea to build. "Build things people want," right? So I thought, why not literally find people saying what they want? I wrote a script to collect thousands of Reddit posts where people are looking for a solution or complaining about a problem. Then I used GPT to filter out the noise and score each one based on how viable the idea seemed. Threw together a simple search interface so anyone can explore them. I was planning to build a more advanced paid version of this, but figured I'd share the raw version first to see if it's actually useful to anyone.
Nov 2025 · search.reddit-business-ideas.workers.dev
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