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DecapBridge, Auth Solution for Decap CMS

Hacker News

DecapBridge, Auth Solution for Decap CMS

Hey folks, this is for the Decap CMS (formerly Netlify CMS) users here. Earlier this year, Netlify decided to deprecate [Netlify Identity]( https://www.netlify.com/changelog/deprecation-netlify-identi... ), which was a huge blow to Decap CMS users. There was no longer a go-to auth solution for simple DecapCMS use cases. This pushed me to develop a full-featured solution for the Decap CMS community: DecapBridge In short, it lets anyone with a Decap CMS website quickly setup auth in a way that anyone with an email address can safely access the CMS and collaborate on content. No need to create a github / gitlab account. Users can also use Login with google or Login with Microsoft (more to come) to login and edit the content. As a site admin, you also get an administration interface to invite / kick out users easily. Let me know if you try it out!

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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: google, user, email · Missing: mac, agents, macos
78%78% 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, io · Missing: https docs, excited, just released
63%63% 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 · Missing: supports, reddit linkedin, podcasting
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, users, way · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface, users · Missing: plus, platform, intuitive
45%45% 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: collaborate · 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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