Fu

Fuzzy-redirect- preventing 404s by auto-redirect to closest valid route

Hacker News

Fuzzy-redirect- preventing 404s by auto-redirect to closest valid route

needed this for some of my own websites so I made my very first npm library today :) the idea is pretty simple but useful - if a user lands on your website and encounters a 404, this uses a basic fuzzy URL matching to redirect to the closest valid URL very low effort to set up, just 46kb, no dependencies and I'm quite happy with it ! happy to hear feedback/ potential improvements https://www.npmjs.com/package/fuzzy-redirect https://github.com/Kuberwastaken/fuzzy-redirect

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released
57%57% 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 · 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.
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.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
24%24% 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.

Incorrect prediction on native model

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