Alternatives
Products that do what Factifi – Real-Time Fact-Checking Content does
Hi HN — we built Factifi, a Chrome extension that does instant fact-checking on anything you’re reading or watching. Please keep in mind, this is just an MVP and will be buggy and fail. We were constantly pausing podcasts and Substack posts to ask, “Wait, is that actually true?”. After too many 30-minute Google rabbit holes, we decided to automate the work. What it does • Extracts claims from articles, blogs, YouTube videos (and even images) • Assigns a verdict + confidence score using live web search, a 200 M-paper research index, and a few proprietary datasets • Flags likely deepfakes and…
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Gen AI tools for factual, source-based, & up-to-date content
2023
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I've been working on and off on a Chrome Extension for Hacker News, the extension focusses on improved usability rather than design. I can almost guarantee that after a day you won't want to go back to regular Hacker News. Give it a try, features include: - Improved readability - Quick inline replies from comments page - Quick profiles with social network info when hovering over usernames - Filtering of stories based on terms and phrases / domain or user - Endless scrolling - Collapsible comment threads - Social sharing for Twitter, Facebook, Google+, Buffer Forks, improvements and comments…
2012 · chrome.google.com
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Remove propaganda from news articles and keep only the facts
21d ago · chromewebstore.google.com
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We’re George and Ann, and want to share a Hacker News specific browser extension that we have been working on. We all love the rich discussions in HN, but navigating long posts with multiple threads can sometimes be challenging. You get lost in the depth and breadth of the discussion. There are a few AI-based summarization tools, but they typically focus on summarizing the article rather than the comments, and thus miss the essence of threaded discussions. So, we built Hacker News Companion, a browser extension that makes it easy to navigate discussions and understand diverse viewpoints…
2024 · github.com
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I'd love any comments, suggestions or critiques on Newsfeedy (www.newsfeedy.com). It gathers trending topics from Twitter and Google and fetches news stories about them, and displays supplementary info from Twitter and Reddit. I originally created it for myself as a way to quickly catch up on breaking news, and a friend suggested it might be useful for others too. I know it's not groundbreaking, it's just a simple tool that saves 3 seconds of your life. And yes, I know that it's not very shiny. Thanks!
2011
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Hello HN, We would like to present to you an advanced News API, that allows you to easily retrieve and process news articles from thousands of sources in different languages all over the world. Since our last submission, we have rewritten the project from scratch with a focus on cleansing and structuring the news data. Some of the advanced features of the new API: - clustering news articles into groups of related news - allows to detect news stories and assess how important / popular they are - detecting reprints and wired articles - allows to easily filter noise and get unique articles…
2022 · goperigon.com
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Former investigative reporter turned developer. I built a simple breaking-news monitor because tracking events across platforms is a mess now that Twitter’s unreliable. Bluesky is the backbone (a fraction of twitter, but still lots of journalists and OSINT folks), plus RSS, Telegram, Reddit, YouTube and Mastodon. Everything is one chronological feed with no algorithm, clear source labels, and lightweight activity detection when a region spikes above baseline (frequency math, not LLMs). But we do have a (hopefully non-obtrusive) AI-generated recent/post summary. Been building for a…
Feb 2026 · news-alert-eta.vercel.app
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Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…
Jul 2026 · github.com
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