AI

AI Search is now free

Hacker News

AI Search is now free

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 guide AI 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 too We appreciate any feedback and happy searching!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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