Open-source AI Search project, ZByAI

Hacker News

Earlier, I started using LLM and Serper API to build an AI search tool to help me search some coding solutions. Inspired by Perplexity and Phind, I initially aimed to create a specialized search tool. However, as the project evolved, it turned into a general-purpose AI search tool, which seemed easier to implement, lol. I've organized and open-sourced the code, which is built with Golang and Remix. I mainly use the long context capabilities of LLM and did not use any RAG. I tested RAG but found that my lack of expertise in this area led to poorer results. I'd love to hear your feedback!

Visit product View on Hacker NewsJul 15, 2024

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best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

9%9% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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