Should I Build It Should I Build It
22 Apr 2025
Artificial Intelligence Search

a search engine powered by AI that pulls the latest search results and ...

...creates an easy to use answer out of them instead of having the user wade through many pages

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Swamp

The market has seen several mediocre solutions that nobody loves. Unless you can offer something fundamentally different, you’ll likely struggle to stand out or make money.

Should You Build It?

Don't build it.

Your are here

You're entering a crowded space of AI-powered search engines. Our analysis reveals 19 similar products already launched, placing you in a highly competitive landscape. The 'Swamp' category designation suggests that many existing solutions are seen as mediocre, meaning you'll need a truly unique value proposition to succeed. Average engagement with these similar products is low, with only 2 comments per product launch. While there's no explicit negative feedback regarding user interest or purchase intent, the absence of positive signals reinforces the 'Swamp' classification. To stand out, you'll need to clearly differentiate your AI search engine and demonstrate a significant improvement over existing options.

Recommendations

  1. Before diving into development, rigorously analyze why existing AI search engines haven't achieved widespread adoption. Focus on understanding user pain points and unmet needs that your solution can uniquely address. Study the criticism in similar product launches.
  2. Identify a specific niche or user group that is currently underserved by existing search engines. Tailor your AI's capabilities and search results to meet their specific needs. For example, you could focus on academic research, legal professionals, or a specific industry.
  3. Given the challenges of competing directly with established search engines, consider offering your AI-powered summarization and search capabilities as a tool or API for existing platforms or businesses. This could involve integrating with content management systems, research databases, or e-commerce sites.
  4. One of the main criticism in similar product launches is the fine line between junk and non-junk, so maybe it's worth focusing on the user and building a personalized experience, where the user can define what's junk and what isn't.
  5. Explore adjacent problems that could benefit from AI-powered summarization and search. This could include areas like content creation, automated report generation, or personalized learning. Perhaps the user will find a greener pasture over there.
  6. If initial market research suggests limited differentiation or potential, be prepared to pivot or abandon the project. Your time and resources are valuable, and focusing on a more promising opportunity might be a wiser choice.
  7. Address privacy concerns from the start. Be transparent about how user data is collected, stored, and used. Implement robust security measures to protect user privacy and comply with relevant regulations.
  8. Focus on speed and efficiency. Optimize your AI algorithms and infrastructure to deliver fast and accurate search results. Users are less likely to adopt a search engine that is slow or unreliable.

Questions

  1. What specific problem does your AI search engine solve that existing solutions like Google, Bing, or Perplexity AI don't address adequately?
  2. How will you ensure that your AI's summarization and search results are accurate, unbiased, and trustworthy? What measures will you put in place to prevent the spread of misinformation or harmful content?
  3. What is your plan for acquiring users and building a sustainable business model, given the competitive landscape and the low engagement observed with similar products?

Your are here

You're entering a crowded space of AI-powered search engines. Our analysis reveals 19 similar products already launched, placing you in a highly competitive landscape. The 'Swamp' category designation suggests that many existing solutions are seen as mediocre, meaning you'll need a truly unique value proposition to succeed. Average engagement with these similar products is low, with only 2 comments per product launch. While there's no explicit negative feedback regarding user interest or purchase intent, the absence of positive signals reinforces the 'Swamp' classification. To stand out, you'll need to clearly differentiate your AI search engine and demonstrate a significant improvement over existing options.

Recommendations

  1. Before diving into development, rigorously analyze why existing AI search engines haven't achieved widespread adoption. Focus on understanding user pain points and unmet needs that your solution can uniquely address. Study the criticism in similar product launches.
  2. Identify a specific niche or user group that is currently underserved by existing search engines. Tailor your AI's capabilities and search results to meet their specific needs. For example, you could focus on academic research, legal professionals, or a specific industry.
  3. Given the challenges of competing directly with established search engines, consider offering your AI-powered summarization and search capabilities as a tool or API for existing platforms or businesses. This could involve integrating with content management systems, research databases, or e-commerce sites.
  4. One of the main criticism in similar product launches is the fine line between junk and non-junk, so maybe it's worth focusing on the user and building a personalized experience, where the user can define what's junk and what isn't.
  5. Explore adjacent problems that could benefit from AI-powered summarization and search. This could include areas like content creation, automated report generation, or personalized learning. Perhaps the user will find a greener pasture over there.
  6. If initial market research suggests limited differentiation or potential, be prepared to pivot or abandon the project. Your time and resources are valuable, and focusing on a more promising opportunity might be a wiser choice.
  7. Address privacy concerns from the start. Be transparent about how user data is collected, stored, and used. Implement robust security measures to protect user privacy and comply with relevant regulations.
  8. Focus on speed and efficiency. Optimize your AI algorithms and infrastructure to deliver fast and accurate search results. Users are less likely to adopt a search engine that is slow or unreliable.

Questions

  1. What specific problem does your AI search engine solve that existing solutions like Google, Bing, or Perplexity AI don't address adequately?
  2. How will you ensure that your AI's summarization and search results are accurate, unbiased, and trustworthy? What measures will you put in place to prevent the spread of misinformation or harmful content?
  3. What is your plan for acquiring users and building a sustainable business model, given the competitive landscape and the low engagement observed with similar products?

  • Confidence: High
    • Number of similar products: 19
  • Engagement: Low
    • Average number of comments: 2
  • Net use signal: 5.7%
    • Positive use signal: 9.3%
    • Negative use signal: 3.6%
  • Net buy signal: -3.6%
    • Positive buy signal: 0.0%
    • Negative buy signal: 3.6%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

Similar products

Relevance

Peruser AI, a new search engine. Get credible answers faster

01 Nov 2023 Artificial Intelligence

AI summarizes search results and gather a coherent answer with links provided. Making the process of learning things much easier.

Users appreciate the AI's ability to summarize search results and provide coherent answers with links. There is a comparison with perplexity.ai, and a query about whether GPT-4 is being used.

The criticism indicates that there is no noticeable difference or improvement in the product or service compared to existing options.

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AiSearch, the search engine that down-ranks junk

23 May 2023 Artificial Intelligence Search

A lot has changed since I last posted about AI Search. It now supports all languages and uses a multitude of AI models under the hood resulting in fast AI summariesThe UI has been revamped and a chrome extension is now available that integrates searches with the navigation bar (https://chrome.google.com/webstore/detail/ai-search/eoggknli...)I am not holding my breath for AiSearch becoming a well-known search engine any time soon. In fact, I prefer if it doesn't as I don't want to draw attention in the search engine all-out war. However, I have chosen to give the product for free because I find it useful for myself and perhaps someone can also benefit from it. Obviously, the engine is as private as it can beIf it becomes too expensive to run, I will unfortunately have to kill it. We'll see. Current costs are pretty low and I don't need it to feed me

Users are concerned about how the system determines what is considered junk and are complaining about the presence of ads in AI-generated summary results.

Users criticized the unclear criteria for determining junk and the presence of ads despite downranking them.

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MiniSearch, a minimalist search engine with integrated browser-based AI

15 Oct 2023 Artificial Intelligence Search

Hey everyone!I’m excited to announce the release of my last project, MiniSearch.I admire Perplexity.ai, Phind.com, You.com, Bing, Bard and all these search engines integrated with AI chatbots. And as a curious developer, I took the chance and created my own version.Using Web-LLM and Transformers.js to provide browser-based text-generation models on desktop and mobile, I built a minimalist self-hosted search app on which an AI analyses the results, comments on them and responds to your query summarising the info. In the backend, it still queries a real search engine, but besides that, there's no other remote connection happening.For running in the browser and on mobiles, lightweight models are required, so we can't expect them to give stellar answers, but there are a few advantages of using this over the services as mentioned earlier:- Availability: The AI will always be available and respond with the maximum available speed from the device. - Privacy: Besides the queries that go anonymously to the actual search engine, nothing else leaves your device. - No ads/trackers: Get the relevant links clean and fast without being tracked. - Customization: As it's open-source, you can fork it and re-style it any way you want.You can get started with MiniSearch by cloning the repository from GitHub (https://github.com/felladrin/MiniSearch) and running it locally or by using it online on this HugginFace Space: https://felladrin-minisearch.hf.space (Alternative Space address: https://huggingface.co/spaces/Felladrin/MiniSearch)You can even set it as your browser's address-bar search engine using the query pattern `https://felladrin-minisearch.hf.space/?q=%s` (where your query replaces %s).At the moment of this writing, the app is using TinyLlama and LaMini-Flan-T5 models, but there's an option to try to use larger models like Mistral 7B (not recommended, though, as it could be slow and break the fast-search experience).That's what I had to share. Thanks for reading!Your feedback means the world to me! Please don't hesitate to reach out if you have any questions or suggestions or want to learn more.

Users noted that the first search is slow but improves with subsequent searches. There are privacy concerns regarding the use of APIs. One user mentioned the post is interesting but has low traction. Another user installed the service with Docker and is looking for faster link display.

Users raised privacy concerns with the current search engine APIs, indicating a need for better data protection. Additionally, there was a desire for a faster link display option to improve user experience. The post itself did not gain much traction, suggesting limited visibility or interest.

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Peruser AI - Let AI summarize the search results with links provided

01 Nov 2023 Artificial Intelligence Education Productivity

Learn what you need with less effort using power of AI and traditional search algorithms. Peruser AI provides you a whole answer with web links provided

The Product Hunt launch received positive feedback with users expressing excitement and congratulations to the Peruser AI team. One user inquired about a specific feature's similarity to Google's AI button. There was also a deleted comment.

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AI Search is now free

12 May 2023 Search

Hi HN community, I posted some time ago about AI Search, an AI-powered search engine that down-ranks results containing ads as well as anything coming from content-farms. It summarizes the actual text to avoid click-baity headlines. It basically helps you avoid wasting time reading things people have put online just to capture your attention. Legitimate sites are still allowed top spots, and you also have the option to white-list/black-list domain names in case you have a preference (for example, Stack Overflow contains ads but in most cases users will want to white-list that site). The search engine is especially helpful when searching for "best XXXXX 2023". For example, if you search for the best local restaurants in your area, it will give you results usually containing sites like the Michellin guideAI Search came to be some time ago but we noticed many users were reluctant to sign up in order to use it. Because of the costs associated with running it, we've kept the sing-up wall until now. We have now decided to offer it for free and registration-free for its killer feature (down-rank junk) but have kept an optional premium option for users who want to utilize the powers of LLMs to the limit and want AIs to summarize the content of each result for them before having to clik on them. A free inital credit is given in that case tooWe appreciate any feedback and happy searching!

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Scribe – AI search engine: navigate the web your way, minus the noise

24 Aug 2023 Artificial Intelligence Productivity

Hi allI've been working on a new search engine for the Internet, called Scribe (https://goscri.be). It's entirely powered by AI, with LLMs and embeddings used to classify, rank, and filter results, and built with the intention to bring more quality and power user features.Some of its features include:- All results are evaluated using trained AI models to detect paywalled, spammy, SEO-heavy content. Results are ranked based on merit only. - Get quick, direct, human-friendly answers for questions by an AI assistant, instead of digging through long-form blog posts and documentation. - For longer, deeper discussions, continue searches by chatting with the assistant with saved and searchable conversations. - Quickly preview a page without leaving the search, to quickly evaluate or use the content. Discover related pages from across the whole web, including from unseen corners. - Personalise your results by filtering out sites you don't want to see results from. - Surface quick facts and answers from official and trusted sources without needing to dig into the page.I'm also currently working on:- Leave a comment and rating for a page, share and discuss with friends and family, and collectively filter or label the quality of a page or site right within the results page. - Navigate an entire site using natural language. For example, "cancel an order" on Amazon.com takes you to the cancellation page, "coffee grounds" surfaces those products within a small online shop, etc. - Within a page, quickly jump to a section using natural language, or chat with an AI assistant about the content. - Show videos from the web in the search results. For example, "max s3 buckets" highlights the exact utterance in a talk by AWS that mentions the answer. - A companion that helps you organise, track, jump between, and take notes of what you visit while deep diving, instead of having hundreds of tabs open.This project has been an interesting technical challenge — the index is fully built from scratch (it's not backed by any existing search engine or dataset), and many parts of the stack are developed and managed entirely in-house, from the crawler, to the RocksDB cluster, to the AI classifiers.My vision with Scribe is a web not as it is, but as it could be — a vast collective human effort of creativity and ingenuity. Where today's giants place boundaries, I dream of an alternative. I envision a digital realm where every voice, no matter how faint, finds an audience; where creativity isn't stifled by algorithms but is amplified by them. With the transformative power of AI, I'm not looking to replace the heart and soul of the web, but to celebrate and reveal it.Scribe is still in beta — I'm still growing the index and improving the results — and I intend to open up the development and get diverse ideas from everybody. If you want to discuss ideas, feedback or issues, or want to follow our progress, connect with us on our subreddit (https://www.reddit.com/r/goscribe/) or Discord (https://discord.gg/nmUhrRfx).

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Tethered AI - AI-powered search

04 Apr 2023 Artificial Intelligence Search Productivity

Meet Tethered AI — your AI-powered search assistant! Simplify web searches & get concise, organized notes. Save time & effort while searching the web. Try our beta at https://tethered.ai 🚀

The Product Hunt launch received positive feedback with congratulations and excitement about time-saving web search improvements. A key question raised concerns about differentiation from existing AI assistants. Some users expressed doubts about the value of Pro plans given alternatives like ChatGPT and Bard. A suggestion was made to list the project in the GPT Feed.

Users question the product's differentiation from established AI search assistants like ChatGPT and Bard. There are also concerns that the Pro plan pricing might be too high, especially considering the availability of competing AI tools.

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Hey, we are building a search engine for AI agents. We expect thousands of these in the coming years and are working on the infrastructure to support rapidly finding the most useful ones for your task or query.Would love feedback from the community on the product and direction.

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AskAITools – A Search Engine for Discovering AI Apps

19 Jul 2024 Artificial Intelligence Search

Hi, everyone. I created a search engine dedicated to helping people find the right AI tools for a specific task.I built it after noticing a recurring pattern in AI forums: people constantly asking for tool recommendations.Key features:- Smart search combining keyword matching and semantic understanding- Clean, ad-free interface- Database of 10,000+ AI tools- Metrics display (monthly visits, interaction rates) to aid decision-making- Open-source core functionality (https://github.com/askaitools/askaitools-community-edition)I built this to solve a personal pain point and hopefully make AI tool discovery more efficient for others. Looking forward to your feedback and suggestions for improvement.

The Show HN product received mixed feedback. Users appreciated the open-source nature for community contributions and the speed of the AI search platform. It was noted as a useful AI tool, with some users discovering sales tools they needed. However, there were also comments indicating a lack of content and some comments were marked as dead.

Users feel that while there are a few good AI tools, the majority are considered mediocre.

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