Is

Is Your Website Any Good? Instant AI-Customer Feedback for Any Website

Hacker News

Is Your Website Any Good? Instant AI-Customer Feedback for Any Website

Hey HN! I built TestMyWebsite - it analyzes your website's content and tells you - in a nutshell - if your website is "any good". Startups and bigger companies alike often struggle with getting their point across in a clear and relevant way. The result is corporate gibberish and generic-sounding marketing blah with zero relevance to the target customer. TestMyWebsite is your sounding board to make sure you don't fall into that trap. I frequently use website testing tools such as GTMetrix, but they only analyze the speed and technical aspects of my website. This app will analyze the content from your target audience's perspective to understand if it's clear, relevant, and well-written, and come up with improvement tips. Feedback so far has only been from friends & family, so I'm very curious to see if the app provides value to the HN community. It currently works best for homepages, but I'm considering expanding it to landing pages, ad campaigns, eCommerce pages, etc., if there is a need.

Visit product View on Hacker NewsMay 20, 2024

Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

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

84%84% 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.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · 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

39%39% 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

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

17%17% 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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