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Check WebRTC connectivity a NodeKO Spin-off

Hacker News

Check WebRTC connectivity a NodeKO Spin-off

Working professionally with WebRTC and WebSockets can reveal you a world of wonders that you weren't previously accustomed to using plain web technologies. That dreadful moment when the boss tells you: - It doesn't work And you need to scramble to figure out what's wrong, what's the vector? Is it WebRTC? Is it WebSockets? Is it the mobile device? The Network they are on? Enough is enough so during the NodeKO hackathon weekend i implemented www.check-connectivity.com a website that will reliably report connectivity and the browser's information. Hell it can even determine if you are behind a NAT! It's been a while since NodeKO and i've been hard at work integrating the API to our support forums so with each new ticket a full report of the connectivity and browser status is attached. Today i'd like to share this invaluable tool with you and hopefully get some feedback on how this tool can help you... Enjoy: http://www.check-connectivity.com

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using, plain · Missing: mac, agents, macos
79%79% predicted probability of success on Product Hunt, 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: lua, io · Missing: https docs, excited, just released
68%68% 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
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
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
33%33% 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, 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 · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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