Patient Glue a more affordable SMS solution for healthcare that I built

Hacker News

Hey y'all Wanted to introduce Patient Glue, it's an all-in-one SMS platform for healthcare that integrated directly into your EHR. Currently have an up to 3 month pilot for you to try it for free! Unlike other service offerings, Patient Glue is made to be budget friendly with a flat-rate per number of seats and usage pricing model. I added in some AI integrations which are configurable and some automated workflows to make the scheduling process easier. Built this because I had worked at a smaller practice and the clinic literally couldn't afford those other options. Check it out yourself, open for any and all feedback! Remember, happy patients stick around!

Visit product View on Hacker NewsSep 16, 2025

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Actual performance

1points

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Launch Intel predictions

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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.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

42%42% 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, open · Missing: mac, agents, macos

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, friendly · Missing: plus, intuitive, reviews

32%32% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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