OS

OS3-RNode, an RNode-Compatible LoRa Modem on CH32V003

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OS3-RNode, an RNode-Compatible LoRa Modem on CH32V003

I built OS3-RNode as a tiny RNode-compatible LoRa modem firmware for CH32V003 + E22-900M22S. It is based on a small deterministic event-driven core, with no scheduler, no threads, and bounded interrupt work. The goal was to make a minimal and auditable transport for Reticulum/NomadNet on very constrained hardware. The article has the architecture notes and a firmware link. Feedback on the event model, failure handling, and interoperability tradeoffs would be useful.

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Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
76%76% 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: model, tiny, notes · Missing: mac, agents, macos
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
36%36% 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
30%30% 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
22%22% 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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