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Mify – CLI that generates and maintains your backend infra code

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Mify – CLI that generates and maintains your backend infra code

Hello, for the past couple of months, we've been developing Mify and I wanted to share it with the people here. We've been writing backends for multiple different big and small companies and noticed that backend development progresses in way too similar cycles. At first people write a small set of services or in better case a single service to do what's needed. At some point the tech debt becomes too much of a hassle to handle as company grows, engineers are starting to scale the codebase, rewriting code, splitting monolith, introducing microservices and eventually after a bunch of iterations like that, people write some sort of in-house internal developer platform to quickly spin up services. The amount of effort it takes to go through this is really unnecessary. Every team needs to get a bunch of libraries for storage, configuration, logging, metrics, etc and duct tape them all together until it works, then write boilerplate for all of that, and then there's also infrastructure code and configs to set up deployment. So, we think that it doesn't have to be that way and that's why we wrote Mify, which is an open-source tool that generated and maintains all boilerplate code for the necessary building blocks of a backend service and help with deployment. Even at this early stage Mify can save a lot of development time, so check it out, we would appreciate your feedback!

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Product HuntOn track for Day 1 leaderboard · Strong signals: single, code, open · Missing: mac, agents, macos
84%84% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
71%71% 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: month, way · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
27%27% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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