Yo.link – Subdomain based URL shortener

Hacker News

I was looking for a pet project to try out recent additions to https://vercel.com platform, specifically their PostreSQL and Redis offering. They also provide easy to setup wildcard subdomain HTTPS certificates, and since I had yo.link domain lying around for a while, why not use it to create, yes, yet another, URL shortening service, but with a twist... Putting the user-selectable short-code in the subdomain has the advantage that it is the first thing that users read in a URL, and as such it is an opportunity to provide some contextual information about the link. Here are some examples: https://svelte4.yo.link --> https://www.youtube.com/watch?v=AOXq89h8saI https://hn.yo.link --> https://news.ycombinator.com/ https://longest-url-ever.yo.link --> https://llanfairpwllgwyngyllgogerychwyrndrobwllllantysiliogo... I couldn't find any other shorteners that use this approach, hence wanted to build one. Redis is great for counting realtime clicks, sliced by hour, day, month, country/city and user browser. PostgreSQL is used as master DB to host the short-code destination-link mapping, and for user management. I plan to add some extra features, like: - tagging the links so it is easy to search and categorise. - password protect the links. - separate analytics for QR code visits. Please let me know what you think. Any ideas, suggestions or critic is very welcome. If you are interested in collaborating on such a project, please let me know (support@yo.link)

Visit product View on Hacker NewsJun 10, 2023

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

89%89% 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.

AppSumoStrong fit for a featured deal · Strong signals: platform, host, users · Missing: plus, intuitive, reviews

54%54% 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: month, users, para · Missing: mobile apps, ios, personal

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

Product HuntUnlikely to reach the leaderboard · Strong signals: user, new, context · Missing: mac, agents, macos

37%37% 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

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

Correct prediction on native model

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