OYS Bitnami Builder – Build your own Bitnami containers

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Hi HN, When Broadcom announced they're killing free Bitnami containers (Sept 29, 2025) and charging $50K+ for replacements, I got frustrated and built this. It's a bash script that builds Bitnami containers from the original Apache 2.0 source. Interactive menu, multi-platform builds, works with any registry. I've been using it since the announcement dropped. The source code didn't disappear - Broadcom just changed their business model. This lets you keep using what you need without the vendor dependency. GitHub: https://github.com/tzahifadida/oys-bitnami-builder Curious what others think about the approach. Are you dealing with the Bitnami transition too? More details: https://shipacademy.dev/articles-html/oys-bitnami-builder-br...

Visit product View on Hacker NewsSep 18, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, using, code · Missing: mac, agents, macos

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, builder · Missing: plus, intuitive, reviews

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · 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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