Open Hardware Outdoor Air Quality Monitor

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We have spend the last couple of months to develop an accurate, highly functional open outdoor air quality monitor measuring PM2.5, Temperature and Humidity. We got inspired by the popularity of our indoor open hardware monitor [1] that allows makers around the world to build an accurate monitor that gives you full control on your air quality data. The build instructions for the new outdoor monitor contain all required information: components, firmware, gerber files for the PCB and 3D files for the enclosure. Today we also started to offer this as a pre-soldered kit for pre-order which includes a professional plastic injected enclosure that we specifically designed for this monitor. More information about the rationale of the outdoor monitor can be found on our landing page [2]. Very interested to hear your feedback and suggestions. [1] https://www.airgradient.com/open-airgradient/kits/ [2] https://www.airgradient.com/open-airgradient/outdoor/

Visit product View on Hacker NewsDec 15, 2022

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

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

57%57% 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 · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% 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

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

Incorrect prediction on native model

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