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ResearchU – AI-Powered Research Assistant

Hacker News

ResearchU – AI-Powered Research Assistant

heyy HN, I built ResearchU, an AI-powered research assistant that scrapes papers (arXiv for now), finds gaps, suggests algorithms, and drafts research papers. Basically, it automates the annoying parts of research. It's open source and it's at https://github.com/MostlyKIGuess/ResearchU . If you see a 504, wait a minute and refresh—free servers, y'know. I wanna expand this beyond academia—assignment solver, big problem deducer, literature generator, and more sources beyond arXiv. Also, looking for funding to make this actually usable at scale.

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Hacker NewsStrong engagement from HN community · Strong signals: open source · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% 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
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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