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I've created my first ever website for my upcoming side-business

Hacker News

I've created my first ever website for my upcoming side-business

Hi HN, I’ve launched the website for my upcoming side business - a little Windows desktop application that I developed to scratch a personal itch. This is a significant milestone for me as it's both my first ever website and side business. The website itself is built using Tailwind CSS with plain JavaScript and some PHP scripts to handle the sign-up forms. I used a lot of ChatGPT for all of it. It's hosted on the the Hetzner level 1 webhosting plan costing EUR 1.90 per month and put behind Cloudflare. I am actually quite curious how this setting will hold up against the traffic from this post. You can check out the website here: [ https://www.iconpainter.io ]. Any insights or suggestions would be greatly appreciated. Thanks a lot!

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Actual performance

6points
1comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
88%88% 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 · Strong signals: chatgpt, using, plain · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, month · Missing: mobile apps, ios, entrepreneurs
54%54% predicted probability of success on TrustMRR, 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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