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Use GitHub as a Free CDN

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Use GitHub as a Free CDN

What this is? a small side project called GaaC that allows you to use Github As a CDN. It: - is free and familiar. Everything stored in your separate repo. - has ease of use. Connect to your Github repo and start uploading files with drag and drop. You can also delete or modify them as needed. No manual commits required. - It comes with a search + preview UI, so you can quickly find the files you need. I've found this to be a time-saver for my own projects, and I hope it can help you as well. Why? As someone who frequently (somewhat) writes blogs, build toy websites or projects, I need to manage a lot of images and static files. Since I use markdown, to refer to an image, I have to commit it and then refer locally. But what if I need to refer it somewhere else too? Same goes for when I used CMS. Hosting images on a CMS is an issue when you decide to migrate. I found using a GitHub repo to store static files strikes a good balance of accessibility and reliability. Let me know what you think!

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, 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: ide · Missing: https docs, excited, just released
56%56% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting
51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
31%31% 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
11%11% 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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