Routebop - my weekend/month/year-long project

Hacker News

So I've built a little website at https://routebop.com over the past year or so in my spare time as an aid to helping me to learn to build stuff. It's a little site where people can save and search for routes around the world, and it's been a nice little project to help me grasp certain Javascript and Node.js basics. Additionally, the code is at https://github.com/grabbeh/routebop if anyone wants to take a look. Any input would be gratefully received, perhaps even a pull request with a complete re-factor of the code into an intelligible form! Side note: Clearly as a lawyer I have been utterly negligent in failing to provide a privacy or terms of use policy. In the unlikely event anyone wishes to submit any content to the site it would be available to other users obviously, but would be removed on request. Also, no warranty is offered as to the accuracy of the information provided on the site and all liability is limited to the maximum extent permitted by law blah blah blah ;)

Visit product View on Hacker NewsApr 11, 2013

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

91%91% 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: ide, io · Missing: https docs, excited, just released

71%71% 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 HuntOn track for Day 1 leaderboard · Strong signals: user, code · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, users · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Our weekend project, a month on45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Our weekend project, a month on

Hacker News6

Resurrecting a 2 year old project as my weekend hack project56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Resurrecting a 2 year old project as my weekend hack project

Hacker News2

My weekend project, DailyPag.es58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My weekend project, DailyPag.es

Hacker News69

Unicode Toy: my weekend project53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Unicode Toy: my weekend project

Hacker News1

My weekend project, TrickedOutTimeline54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My weekend project, TrickedOutTimeline

Hacker News70

PHilliP, my weekend project54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PHilliP, my weekend project

Hacker News3

My Weekend Project - UptimeFu54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Weekend Project - UptimeFu

Hacker News4

My weekend project, FFUNR54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My weekend project, FFUNR

Hacker News3

My Weekend Project - DailyTopPhotos54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Weekend Project - DailyTopPhotos

Hacker News1

Docary (Weekend project)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Docary (Weekend project)

Hacker News16

Browse all products Analyze your launch