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Replacebase – library to migrate away from Supabase

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Replacebase – library to migrate away from Supabase

Hey folks! There has been a lot of talk recently about the reliability of Supabase and migrating away to other database providers (or even hosting Postgres yourself). I'm a big proponent of writing actual backend code rather than locking yourself into frameworks like Supabase. If you already built all your client-side code around it though, then migrating is not a trivial task. Replacebase is designed to help with that. It's a Typescript library that you can plug into actual backend code that exposes a Supabase-compatible API so that you don't have to make significant changes to your frontend. It's designed to be a stepping stone for further migration, letting you switch database and storage providers and eventually move to a bespoke backend architecture without Supabase lock-in (at which point you can also remove Replacebase!) Would love your thoughts: https://github.com/specific-dev/replacebase

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Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos
80%80% 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 · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
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TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
42%42% 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
41%41% 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.
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0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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