A network for Americans who can't afford health insurance

Hacker News

Hey HN, launched this recently and looking for early feedback. The problem to solve: In the US, patients who can't afford health insurance are regularly charged the highest prices for healthcare - prices that are deliberately inflated by 2x-4x above market. But theoretically they should be getting the best prices, because they are paying without the expenses and delays of insurance claims. However, insurance contracts are written in a way that prevents anyone outside a network from getting better prices than insurers. The Pocketero solution: An affordable non-insurance network for people who pay out of pocket for healthcare, especially those who can't afford health insurance. Network members get the best prices from network providers. If you have any comments about the design, implementation, business model, etc. - please share your thoughts!

Visit product View on Hacker NewsAug 16, 2022

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6points

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Did not reach leaderboard

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

81%81% 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.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

51%51% 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

40%40% 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: model · Missing: mac, agents, macos

33%33% predicted probability of success on Product Hunt, 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.

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

20%20% 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

16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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