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Live Train Webcams

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Live Train Webcams

Our son is really into trains. He was home sick a few weeks ago and we found that there are several YouTube channels that have live video feeds from various train stations or railway clubs around the US. He really liked it, but he kept wanting to know when the next train was going to show up so he could see it. I built this small website at https://train.api.connelly.casa/ which shows the time to the next train (Pacific time) and will automatically rotate channels to find the next train. It uses the Amtrak live train data today. In the future I might add other agencies, since a few of these stations do have more than one agency that services them and there are also some international stations I found feeds for. Hope this may be of some use for those of you with your own railfans in your life :)

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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.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
40%40% 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: video, way · Missing: mobile apps, ios, personal
36%36% 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
15%15% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

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