Qu

Quack, providing a link to beautifully rendered Markdown

Hacker News

Quack, providing a link to beautifully rendered Markdown

Quack (Beta) is a simple utility to share a beautifully rendered version of Markdown text. We built it to scratch our own itch [1] and to test out an idea before building a whole persistent app [2]. We were definitely inspired by numbr.dev and txt.fyi (RIP) as we found both projects to be fun and fascinating. Yes, the links Quack provides are ginormous. Yes, they'll probably get too long to even work in some cases. That's the nature of the beast when compressing data into a URL. We know that this isn't rocket science, but we like it! [1]: https://goodenough.us/blog/2023-06-28-why-we-built-quack-bet... [2]: https://goodenough.us/blog/2023-06-29-how-we-built-quack-bet...

Visit product View on Hacker NewsJun 29, 2023

Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

16%16% 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

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