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Beacon – Lightweight deployment and monitoring for self hosters

Hacker News

Beacon – Lightweight deployment and monitoring for self hosters

Hi HN, I've been hosting my side project on AWS, like any developer who is also a hustler would. I was paying an okay price for not managing infrastructure at all. I moved everything to AWS Ligthsail after my startup credits run out. My project was not making me much money, so I financed it all by myself. Then one day, after some ignored spam AWS emails, I got a huge bill. 700% increase from previous period. WTF?? I said to myself while I logged into the dashboard to look at what the issue is. No DDOS, misconfiguration, nothing unusual. I log into the root account to look at the billing page, and I see it: RDS PostgreSQLl legacy fee ~200 EUR because I was running Postgres 13 in 2025. I was baffled. I paid monthly 25 eur (with 27% tax) for the smallest RDS instance, then I see this monster fee for something I think should cost maybe 2 EUR. I mean AWS just has to run it in a different environment. For 200 I could buy them a new server to run it for me. I thought to myself, I have a spare Raspberry Pi 3, I will just host it on that. Then my journey on self hosting started, I decided to cut ties with AWS or any cloud provider. I faced many challenges, particularly due to resource constraints with the tiny 1GB ram and slow storage. Then to solve my own problems I made Beacon, and I'm sharing it now to help others who face similar challenges. Beacon solves a problem for self-hosters (or if you host on bare metal), IoT homelab users. It's an open-source agent that makes it easy to deploy apps and monitor devices (like Raspberry Pi) without the overhead of traditional tooling. Forget bloated stacks like Jenkins, Opensearch, Grafana, or Datadog. Beacon is a single ~15 MB Go binary that: * Automatically deploys new releases from Git tags * Monitors endpoints, ports, and system metrics with custom commands * Forwards logs from files, Docker, and commands Note: Beacon is currently in Beta development — APIs, configs, and features may change as it evolves. Feedback and contributions are welcome!

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
92%92% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: agent, apps, user · Missing: mac, agents, macos
85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
79%79% 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 · Strong signals: apps, month, monthly · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive
37%37% 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
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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