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Ooxy – a general-purpose protocol bridge

Hacker News

Ooxy – a general-purpose protocol bridge

I’ve been hacking on Ooxy, an open-source protocol bridge. Unlike tools tied to a single layer, Ooxy is meant to bridge across layers and protocols. Ooxy is inspired by cloudflare's oxy proxy framework: https://blog.cloudflare.com/introducing-oxy/ Right now, making ooxy work as Layer 3 → Layer 7 bridge, letting proxy-unaware devices speak through HTTP/S proxies. The idea is to grow it into a reusable way to connect otherwise incompatible protocols. Repo: github.com/Rits1272/ooxy I’d love feedback on which protocol bridges would be most useful, and where this could go next.

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Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
77%77% 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: single, open · Missing: mac, agents, macos
63%63% 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 · Missing: https docs, excited, just released
53%53% 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: way · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% 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
13%13% 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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