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I have trained 15 blood glucose forecasting models on my own data

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HN · launched Nov 10, 2026 · 84 upvotes (top 13%) · 0 views

Niche: personal health and medication tracking apps · 243 launches, 27 in the last 7 days ▲ +4% · Explore this niche →

Category and tags

  • Healthcare
  • Analytics & BI
  • Prosumer
  • AI-native
  • Hobby / open-source project

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Could you build this?

Partial The forecasting models themselves are standard time-series and deep learning work that vibe coding can reproduce. A product that gives clinically reliable glucose predictions needs far more data than one person's CGM history and may face medical-device regulation.

What it would actually take: A real product would need the standard stack of CGM data ingestion (Dexcom/Libre APIs), a validated forecasting pipeline (for example, LSTM/Transformer or gradient-boosted baselines), and a clinical evaluation protocol. The hard parts are multi-patient training data and clinical validation with an accountable medical team. If it is sold as a diabetes decision aid, regulatory clearance (FDA/CE) is required, which requires regulatory and clinical expertise.

Discussion

3 comments analyzed.

Competitors

Other products that read as similar to this one : 84 launches clear the similarity bar, closest 8 shown.

Attention rank: #6 of 85 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 361 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.