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Manage your blood glucose via SMS

Hacker News

Manage your blood glucose via SMS

Hello HN! I'm building a service that lets users log their blood glucose via SMS and share that data with loved ones. I'd love some feedback. Site: https://glucolog.herokuapp.com/ Features: -Simply text readings to (909) 757-0084 and get feedback. No app required -Users and followers receive daily progress updates -Followers receive reminders if a user hasn't been logging -Simple charts to visualize progress -Data sharing with a user's endocrinologist and/or physician Background: My father has Type 2 diabetes and it has been a struggle helping him manage it. He tried blood glucose logging apps, but they're complicated, and the push notifications they send tend to get lost in the shuffle. He likes Glucolog because it's extremely simple. The process of downloading an app, logging in, finding it in a sea of apps, waiting for things to load, and navigating a complex UI multiple times a day is a lot to ask of someone who is not a native smartphone user. I imagine this bot would also be useful for people who have poor data connections or feature phones, or people who just value the simplicity of an SMS interface. Me and my family love the bot because it keeps us informed on my Dad's progress without having to constantly ask him about it. Why not just start a group text with the readings? It's overwhelming for followers to receive blood glucose readings multiple times a day in real-time. After a few days, it's easy to just ignore messages. Also, there's no feedback mechanism on the readings, and directly texting others can make some users feel uncomfortable, like someone is constantly looking over their shoulder. What about Continuous Glucose Monitors or "Smart" monitors? They're great! But most people don't have them/can't afford them/don't wan't to use them right now. In the next decade I have no doubt they will become cheap/easy enough to gain widespread adoption, but we're not there yet. Thanks for taking the time!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
93%93% 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: apps, user, visual · Missing: mac, agents, macos
84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, visualize, users · Missing: mobile apps, ios, personal
63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface, users · Missing: plus, platform, intuitive
39%39% 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
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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