I've created a site about Bone Marrow Donation

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Hi HN,<p>I've posted a couple times here before (mostly within posts pertaining to Amit Gupta's search for a bone marrow donor) and I wanted to share a site I've been working on for the past 5 months or so that recently went live. I'm going on my fifth year of being an Acute Myelogenous Leukemia survivor, and while I didn't need a bone marrow transplant myself at one point it was a very real possibility. At that time I became aware of the lack of minority bone marrow donors and made a promise to myself to try to do something about it if I were to survive. This site is something of a fulfillment of that promise.<p>I don't know if this is explicitly HN-worthy, given that it's not a programmatically-impressive web app or a strictly technical exercise. But given the publicity that Amit's search for a donor has created for the cause, and some previous posts highlighting concerns around bone marrow donation, I felt like this submission may be relevant to the community. In the end, hacking is very much about finding a problem and solving it using technology. I was dissatisfied with the websites I found and the explanations I was given, so this is my attempt to solve that problem.<p>If this post gets any notice the website may very likely go down given my shared hosting plan. I apologize in advance for that.

Visit product View on Hacker NewsJan 26, 2012

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

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive

58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

15%15% 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

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