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GPT Researcher – Open-Source Autonomous Research Assistant

Hacker News

GPT Researcher – Open-Source Autonomous Research Assistant

Hi HN! I'm excited to share a project I've been working on in the past year: GPT Researcher, an open-source autonomous agent designed to simplify and accelerate the research process. In my experience, one of the biggest challenges in research is efficiently gathering, filtering, and synthesizing credible information from a vast sea of sources. Traditional search engines often fall short, requiring users to sift through multiple sites to piece together relevant insights. This inefficiency led me to create GPT Researcher, a tool that automates the entire research process—bringing you comprehensive, accurate, and unbiased reports in just minutes. The inspiration for GPT Researcher came from my struggles with existing research tools and autonomous agents (like AutoGPT and Perplexity), which often failed to deliver timely and reliable information (and often just got stuck). I dove into research on various AI methods and technologies, including flow-based programming, multi-agent frameworks, and RAG. GPT Researcher operates by breaking down complex research tasks into smaller, manageable subtasks, which are then tackled by specialized agents. These agents work in parallel, significantly speeding up the research process. The tool scrapes information from over hundreds of trusted online sources, filters it, and compiles a detailed report tailored to your specific needs. For example, whether you need to plan a trip, optimize your LinkedIn profile, or analyze stock performance, GPT Researcher gathers all relevant information, organizes it, and delivers a well-structured report with cited sources—all within a few minutes. I'm happy to update that GPTR has crossed over 13K Github stars and 5K developers on our Discord! Our goal remains the same - democratizing autonomous research for everyone, without the need to pay for existing tools. I'd love to hear your thoughts and feedback on GPT Researcher’s direction. You can check out the repo here: https://github.com/assafelovic/gpt-researcher

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, user · Missing: mac, macos, cursor
93%93% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: para, including, efficiently · Missing: supports, reddit linkedin, podcasting
91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, existing · Missing: https docs, just released, lua
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: efficient, users · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users, para · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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.

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