We

WeatherRelay, our IoT dual-band weather sensor receiver

Hacker News

WeatherRelay, our IoT dual-band weather sensor receiver

If you are interested in ISM weather sensor technology, here's a device we're developing. It currently receives and interprets sensor data from about 40 sensors from La Crosse, Ambient Weather and Ecowitt. There's a desktop 'toy' that lets you monitor sensor values (temp/humidity/rain/wind/hydro) continuously. https://iowa-maker.com/blog/ Looking to make a first run of the board/enclosure and thinking how to fund it. Kickstarter? VC money? Angel funding? Could be useful to a variety of folk - weather hobbyists, folks concerned with monitoring temperature (cold-storage companies etc). Concerned with basement flooding - supports a moisture/water sensor!

Visit product View on Hacker NewsMay 30, 2023

Actual performance

3points

Did not reach leaderboard

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

74%74% 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: io · Missing: https docs, excited, just released

63%63% 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 · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

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

19%19% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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