Du

Dumbo – Hono inspired framework for PHP

Hacker News

Dumbo – Hono inspired framework for PHP

Hey HN, I last PHP professionally over 15 years ago, and I loved it. I switched to Ruby on Rails, then Node/Go/React/GraphQL as there was a lot more demand for those roles. However, PHP is back! In true JavaScript fashion, I decided to learn PHP again by building a framework to put all the pieces together in my brain. I absolutely love Hono.dev, and decided to base the PHP framework on that. Dumbo isn't intended to compete with Laravel, Symphony or Slim, if anything, it's something people can use in production, but also contribute to and be used as a learning resource for others.

Visit product View on Hacker NewsNov 18, 2024

Actual performance

76points

65comments

Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

76%76% 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: ide, io · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

23%23% 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

17%17% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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