Pi

Pinging.net – Monitor Your Internet Connection

Hacker News

Pinging.net – Monitor Your Internet Connection

Unreliable internet is super frustrating right? I started working on this side project, pinging.net, in 2019 when we had a bad router that was causing internet issues on my spouse's phone. Downloading an app to run ping isn't fun and I thought it would be cool to be able to quickly "run ping" in the browser. I have worked on it off and on since then, mostly motivated when I would run into yet another internet issue (e.g. Zoom calls over Airbnb WiFi while traveling). Last week, we had yet another an internet issue where every 140 seconds our connections were getting reset. This was very apparent on the graph of pinging.net. That motivated me to get this project to the finish line and launch it more broadly (power cycling the modem fixed the internet issue by the way). My career up until a few months ago was writing proprietary financial trading systems, which normally do not need to run 24/7. I enjoyed learning more and thinking about high availability working on this project. It was also nice to play with webdev again. Since I am using WebRTC I am experimenting with not using a reverse proxy and doing everything inside the HTTP binary. Not routing through something like NGINX might bite me but I want to see how far I can go with it. About page: https://www.pinging.net/about GitHub page: https://github.com/benhansenslc/pinging

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Actual performance

5points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
85%85% 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.
Hacker NewsStrong engagement from HN community · Strong signals: nginx, ide, io · 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, trading, way · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: calls · Missing: plus, platform, intuitive
36%36% 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
18%18% 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.

Incorrect prediction on native model

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