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A telemedicine resource for our healthcare providers

Hacker News

A telemedicine resource for our healthcare providers

We're a group of physicians that wanted to make a resource that would be useful to our healthcare colleagues during the COVID-19 pandemic. Although it may seem counter-intuitive, many of our healthcare colleagues are struggling as clinics and elective procedures are shuttered around the nation. Hospitals are furloughing or firing record numbers of nurses, doctors, therapists, physician assistants, and nurse practitioners as their profits plummet. Although in-person visits are slowing, telemedicine is exploding. It seems like every day our inboxes are inundated by new telemedicine companies we had previously never heard of that are advertising new positions. We started organizing the offers by specialty amongst ourselves and figured we might as well start publishing the offers we had found into a easily searchable jobs board for all of our healthcare colleagues around the nation. We also started interviewing telemedicine leaders and posting articles dedicated to telemedicine that we thought might be useful to our colleagues. None of us have any experience in the start-up or tech world so we appreciate any and all feedback. Our product is 100% free for all healthcare providers. Forever. Please leave any comments and questions and I'll be sure to reply to all of them. Thanks! Review our website at: www.teledocjobs.com

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Actual performance

1points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
54%54% 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive · Missing: plus, platform, reviews
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, inbox, apis · Missing: mac, agents, macos
42%42% 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
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: profit · Missing: arr, mrr, revenue
14%14% 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.

Correct prediction on native model

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