Drive Google's Streetview Car

Hacker News

Last night I made this small webpage which takes any two points and shows a video of driving from one point to another atop the Google's Streetview Car. Download the file here https://gist.github.com/spicavigo/5263511 and open it in your browser. Wait for a minute or so for the video to load. Note that you should not move away from the browser window because the video will start automatically once its ready and restarting it would require opening the JS console of your browser. Currently the two locations are hardcoded (Penn Station and 7th Avenue / West 49th Street, New York. Once I get time, I will try and make a better interface for it. Things that can be controlled here are the locations, speed of the car and number of frames in the video. So I will integrate them in the interface. I think its cool. What do you say?

Visit product View on Hacker NewsMar 28, 2013

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, code · Missing: mac, agents, macos

64%64% 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.

AppSumoStrong fit for a featured deal · Strong signals: interface · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

52%52% 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, google, way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% 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.

Correct prediction on native model

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