My first webapp is online - a link checker and analysis....

Hacker News

Hi! Long time reader, first time submitter. I've finallllyy got my first webapp online. It's been a long time coming, I started it over a year ago and just been an hour here, a couple of hours here, and a period of a couple of months of nothing. I first wrote it as a way to learn some python it sort of grew to fill a need I had. It's at a point now where I'd LOVE some feedback as I am going round in circules. Please, it's free, just hit the home page, plugin in a name/email and url you want to links checked on. If you use the name 'DeleteMe' I will remove the account after a week, so feel free to have a play. Any and all feedback welcome. http://sitecrawl.net/ Thanks Nick

Visit product View on Hacker NewsFeb 2, 2012

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

82%82% 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.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

45%45% 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, way · Missing: mobile apps, ios, personal

44%44% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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

15%15% 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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