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Two joint small web projects

Hacker News

Two joint small web projects

simple CMS without frameworks, and hosting that is based on this CMS. https://github.com/turboblack/HamsterCMS The great thing about CMS is that it has multi-templates, you can assign each page its own design (template) http://web1.0hosting.net/ hosting is a home for geeks, like geocities 30 years ago, but with one interesting change - you can run a blog, you can install a chat, use ready-made templates (there are already more than 70 of them), and administer your site even from under DOS (and many templates work in Internet Explorer 5 from 1999) Since March, we have seriously expanded the functionality, and now it is a rather interesting platform with a social component, in addition, if you bring friends, you always receive an additional 500 MB for files, and so on every time, if there is a recommendation from you. official website of the CMS http://old.net.eu.org/ but since then it has undergone many changes, additions, improvements, but just in case, I left the very first version so that you can compare where it all began

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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
81%81% 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 NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
58%58% 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: platform, host · Missing: plus, intuitive, reviews
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
29%29% 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
20%20% 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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