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Bitdog – a completely hackable home automation toolset

Hacker News

Bitdog – a completely hackable home automation toolset

Hello Hacker News, My co-founder and I have spent the better part of years developing a completely hackable Home Automation toolset that runs on a Raspberry Pi, or any machine running Linux. With just a Raspberry Pi and a $45 Z-Wave dongle ( https://www.amazon.com/Aeotec-Z-Stick-Z-Wave-create-gateway/... ), you can run a complete home automation system! Our hub will support any Z-Wave or Z-Wave plus device. We are cloud hosted service that doesn't require you to purchase any proprietary hardware. Our hub software runs on NodeJS and is completely open source. We encourage developers to make a publish extensions. We of course have published an app that allows the creation of dashboards for quick actions, reports, detailed logging, automations, and integration with Alexa. We are currently working on integrating with Google Home. We consider our differentiating features our reliability, focus on privacy, and configurability. Our site is https://www.bitdog.io Thank you, -Artel DeVries

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30points
16comments
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
87%87% 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 NewsStrong engagement from HN community · Strong signals: open source, hacker news, ide · Missing: https docs, excited, just released
77%77% 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 HuntOn track for Day 1 leaderboard · Strong signals: mac, google, new · Missing: agents, macos, agent
73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus, host · Missing: platform, intuitive, reviews
31%31% 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
18%18% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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