I have a silly pet project, can I get some input?

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Last night I had a stupid idea, and wanted to check if it is technically possible. Well, it is! In a nutshell: Emoji support for your website's URLs. yourwebsite.com/contact - booring yourwebsite.com/:phoneemoji: - cool! So I wrote a nodejs middleware that offers emoji support for your API, with 2 lines of code. (well if you count the installation 3 lines) Here's the project: https://www.npmjs.com/package/slashemoji I currently have support for the /contact and /about routes. Can you give me some ideas of what other URLs to cover, and what emojis to link the routes to?

Visit product View on Hacker NewsSep 4, 2019

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

61%61% 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.

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

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

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

38%38% predicted probability of success on AppSumo, 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

28%28% 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: code · Missing: mac, agents, macos

19%19% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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