Ca
Cama Pack – Moisture Monitoring for Raspberry Pi or Arduino
Hacker NewsCama Pack – Moisture Monitoring for Raspberry Pi or Arduino
Home based plant moisture monitoring solutions using Raspberry Pi and Arduino. We created several different dashboards including web hosted options and a custom cell phone application that connects to the Pi through Bluetooth. Everything is open source under the MIT license. Would love feedback, contributions!
Share cardActual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created, including · Missing: supports, reddit linkedin, podcasting69%69% 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, io, including · Missing: https docs, excited, just released57%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.
Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal41%41% 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, revenue14%14% 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, crypto9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ra
Raspberry Pi LCD System Monitoring60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Raspberry Pi LCD System Monitoring
Hacker News1Sc
Sciter on Rapsberry Pi 357%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sciter on Rapsberry Pi 3
Hacker News2Fi
Find integers in Pi57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find integers in Pi
Hacker News1FP
FPGA Ultrasound Imaging on a Raspberry Pi65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FPGA Ultrasound Imaging on a Raspberry Pi
Hacker News199Qu
Quake 2 ported to Raspberry PI62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Quake 2 ported to Raspberry PI
Hacker News2I
I hacked my microwave with a Raspberry Pi64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I hacked my microwave with a Raspberry Pi
Hacker News423Is
Is the average sinuosity of rivers Pi?57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Is the average sinuosity of rivers Pi?
Hacker News1Co
Controlling a Raspberry Pi with RabbitMQ65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Controlling a Raspberry Pi with RabbitMQ
Hacker News3My
My Raspberry Pi 2 Cluster59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Raspberry Pi 2 Cluster
Hacker News23Me
Memorize 39 Digits of Pi57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Memorize 39 Digits of Pi
Hacker News8