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Agiler – Serverless WordPress Hosting

Hacker News

Agiler – Serverless WordPress Hosting

This is something I've been working on since the beginning of the year, after noticing a surprising lack of serverless options for WordPress (given how popular it is). It's built using Golang on AWS, using EC2 with LXD containers for the workers. Each PHP request runs in a separate worker; and the MariaDB instance starts up concurrently. A proxy is used to serve non-PHP requests (images, js, etc) so they dont need to be passed to a worker. I also built a request queue so the server load could be controlled/balanced and the PHP code execution time is somewhat consistent. A big goal for this was to allow WordPress to run without modification. So there are no modifications to WordPress itself or any of the PHP code. So updates and plugins can be used just like with any other WordPress hosting. Feedback appreciated.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
87%87% 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: using, code · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: 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.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
41%41% 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
28%28% 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
13%13% 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.

Incorrect prediction on native model

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