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(Re)Search the medical research with Medrill

Hacker News

(Re)Search the medical research with Medrill

Medrill ( http://www.medrill.com ) is a medical search engine that indexes and ranks medical research paper abstracts based on a subtle blend of known metrics (citations count, journal and authors impact factor..) This is still work in progress (like any search engine...), I plan to integrate medical ontologies to get better results, and I'll also integrate soon some specific filters aimed at physicians (like systematic review, clinical papers). The stack is quite simple: Java, DropWizard, PostgreSQL, Lucene Next step is the harder: get physicians/specialists use the search engine. Any comment/suggestion is welcome.

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: soon · Missing: plus, platform, intuitive
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% 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
21%21% 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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