Alternatives
Products that do what TheDecisionHub Launch does
Ranked options + Reddit sentiment for any purchase.
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2021 · duedilly.io
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Shopping online can be pretty tedious if you care about the quality of what you are buying. The time it takes can scale pretty proportionally to some combination of the value, relative importance, and complexity of the purchase. I think LLMs can help expedite and personalize the online shopping experience to a degree marketplaces just don't currently provide. I don't think anybody really wants to read the product descriptions of a bunch of products, read reviews, do pairwise product comparisons, and find the best deals across different websites? Or am I wrong? That's why I think this…
2024 · claros.so
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One year ago, I downloaded the news.arc code and decided that I would teach myself programming by building a better aggregator. At that time, I had some rudimentary HTML knowledge, and little FORTRAN under my belt. I knew that I wanted an aggregator that could support a wide range of submissions, and one that could scale without losing quality for the user. Hubski is what I have to show for my time and effort. The easiest way to describe Hubski is to say that it uses a commenting system akin to HN or Reddit, but uses a sharing scheme like Twitter. You have a personal feed comprised of the…
2011
- 11IB
Hey HN! I'm excited to announce the launch of my new project - OneClickCompare. Compare prices from Amazon, eBay, and AliExpress in seconds with OneClickCompare. Simply search for any product and instantly find the lowest prices in one place. Save time and money today! I will continue to improve this and would love to get your feedback / suggestions! :)
2025 · oneclickcompare.com
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Hey everyone, I’ve just rebuilt my SaaS, Replyhub[1], a tool to find high-potential leads from Reddit, X, and LinkedIn. The tool scans relevant posts related to your business, analyzes them, and identifies potential leads. It then alerts you so you can either reach out to them or engage with the posts directly. Here’s the backstory: When I first launched Replyhub three months ago, it was designed to monitor relevant discussions on Reddit and automatically reply to them. The goal was to streamline engagement and surface potential leads. However, several issues quickly arose. The AI-generated…
2024
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I wanted to quantify the endless "which knife should I buy" debates on r/chefknives, so I built a data analysis pipeline to get some real answers. The project is a 5-phase system built with Node.js. It first uses Fuse.js for fast, typo-tolerant fuzzy matching of ~450 known brands and ~8,700 models. The remaining text is then passed to an LLM (via OpenRouter) for discovering new, unknown entities and performing sentiment analysis on every mention. I ran it on over 1,000 threads, totaling more than 25,000 comments. A few interesting findings: The Underdog: Budget-friendly Tojiro has a…
Oct 2025
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Hello HN! About 1.5 years ago we published an idea on how to improve the Hacker News ranking algorithm (https://felx.me/2021/08/29/improving-the-hacker-news-ranking...). The main idea was to counteract the rank-upvotes feedback loop by using attention as negative feedback. We received very valuable input from the HN community (https://news.ycombinator.com/item?id=28391659), and have since come up with something that we think could be a real contribution: the upvoteRate metric. upvoteRate is an estimate of how much more or less likely users are to…
2023
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https://deals.wiki/ is a deals sharing platform like Slickdeals or Ozbargain, but we share 50% of the affiliate revenue with the deal poster. In the last 24 hours we soft lauched: 80 registered users 14 deals posted 8 unique deal posters 2 countries (Australia and USA) 2.7k unique visitors 40% traffic from USA 23% traffic from Australia How I did it: I bought http://internetstealsanddeals.net/ for 2.3kUSD and 15 associated Facebook groups with 200k users and funneled them to my related startup #buildinpublic #startup #startups
2025 · deals.wiki
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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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Hello Every one, Few months ago i asked what to develop and you all gave me answer that develop a product that you will use and a products that solve real problems. So here i have tried to solve the problem of posting polls on Reddit with this website. Hope you will like it. I would like to hear your feedback and comments. site: http://redditpoll.com/
2014
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2021 · github.com
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Earn a customer everytime your competitor gets mentioned
Mar 2026 · compeddit.pages.dev
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We found that evaluating products based on ratings alone often is not helpful, and some products have too many reviews to efficiently read. Also, for many products, we discovered that finding where the well-written and thoughtful reviews fell was more important than the content. So, for Startup Weekend Kansas City last weekend, we created an app (Horsebot3k) which parses Amazon to identify the better written reviews, and what topics people like and dislike. We got the app fully working over the weekend, and won first place! Check it out at http://horsebot3k.com We also have a 90 second…
2011
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