Vehicle Microservice Framework (Python) – Dashcams and More

Hacker News

https://github.com/jrcichra/smartcar Hey HN, This is my first microservices project. It's designed to be an extendable platform for collecting data about your car (and acting on it). It uses a "centralized pub/sub" message queue system I developed. This was designed for a Raspberry Pi, but has support for x86 (minus the RPi specific containers) I use Redis to manage the state of the car. The microservices currently communicate with TCP JSON payloads. In its current state, it can record dashcam footage and download it when you get home. Let me know what you think!

Visit product View on Hacker NewsDec 8, 2019

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Hacker NewsStrong engagement from HN community · 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.

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

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

46%46% 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, personal

34%34% 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

20%20% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

11%11% 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

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

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