A smart coffee scale that can order coffee on its own

Hacker News

Hello again! I recently shared another device of mine (a focus timer based around an epaper display) and seeing all the positive feedback motivated me to keep building :) What you're looking at is a overcomplicated way of buying coffee a coffee scale that is connected to a coffee shop's (terminal.shop) API. You can order new coffee directly from the scale or even let it do that on its own once your bag starts to run low. It also allows you to weigh out single doses of coffee. Apologies if this sounds a bit too much like an advertisement for them, but that's the reason this is even a thing. The README contains more information on all the background, how I built the device, and assembly instructions.

Visit product View on Hacker NewsApr 19, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, single · Missing: mac, agents, macos

89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on TrustMRR, 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

16%16% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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