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Serverless intelligence dashboard cross-referencing FDA safety events (FAERS) with active clinical trial protocols to flag options catalyst risks and study exclusion criteria. Pulls real-time government metrics and PubMed safety feeds.
Hello Product Hunt!
I’m the founder of FAERSIndex.
Biotech investing and pharmaceutical research are fields where data accuracy is imperative, but finding that data is painfully slow.
If you are a biotech retail investor, a single unexpected FDA safety report or clinical trial exclusion signal can wipe out your options or stock portfolio overnight. If you are a medical researcher or writer, you spend hours manually copy-pasting safety tables from government registries and PubMed to compile safety briefs.
I built FAERSIndex to solve both problems:
100% Live & Serverless: The app makes real-time API requests directly to the US Government registries (openFDA & ClinicalTrials.gov) and NCBI (PubMed). No lag, no outdated cached databases.
Options Risk Mitigation: Instantly view seriousness breakdowns (hospitalizations vs. deaths) and calculate risk gauges.
Exclusion Criteria Overlaps: Automatically cross-references side effects with trial protocols to see if patients are being filtered out.
B2B PDF Dossier Exporter: Customize titles and compile a complete drug catalyst brief to a print-ready PDF in 3 seconds.
We operate on a dual-tier model: a robust Free Search tier,
**an Investor Catalyst Plan (35/mo) for full demographic charts/CSV sheets,
**Professional Research Plan(99/mo) for PubMed literature feeds and executive dossier compiles.
I’d love to hear your feedback on the UX, the directory layout, or features you want to see added next!
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About FAERSIndex on Product Hunt
“Live FDA safety data & clinical pipeline insights”
FAERSIndex was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #157 on the daily leaderboard. Serverless intelligence dashboard cross-referencing FDA safety events (FAERS) with active clinical trial protocols to flag options catalyst risks and study exclusion criteria. Pulls real-time government metrics and PubMed safety feeds.
FAERSIndex was featured in Fintech (47.2k followers), Analytics (172.7k followers) and Health news (1.4k followers) on Product Hunt. Together, these topics include over 33.4k products, making this a competitive space to launch in.
Who hunted FAERSIndex?
FAERSIndex was hunted by Kabir Kainth. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how FAERSIndex stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kabir Kainth