Explore diverse network routes in the US and Canada

Hacker News

We built this proof-of-concept for a customer and enough folks found it interesting that we thought we could share: https://routes.demo.fibermap.com/ If you have bought or sold network capacity you know that physical fiber route diversity (more than one separate route between a location) is important. This demo lets you explore potential diverse fiber routes between any two locations across a large US/Canada network. This public version considers a route diverse only if it shares no common segments and does not consider how the network is currently spliced, lit, configured, etc. Example network routes and building data from: https://www.zayo.com/solutions/global-network/building-lists...

Visit product View on Hacker NewsJun 18, 2019

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

57%57% 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.

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

34%34% predicted probability of success on TrustMRR, 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

33%33% 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: physical · Missing: mac, agents, macos

22%22% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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