Database-replicator – Replicate any DB to PostgreSQL

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Repo: https://github.com/serenorg/database-replicator Open-source CLI (Rust, Apache 2.0) that replicates SQLite, MySQL, MongoDB, or PostgreSQL to any PostgreSQL target. Selective table filtering, continuous sync for PG→PG, checkpointing for interrupted transfers. cargo install database-replicator database-replicator init \ --source "mysql://readonly@prod:3306/db" \ --target "postgresql://admin@replica:5432/db" \ --include-tables "orders,products" Backstory: We're building SerenDB, a Neon-PostgreSQL fork with native micropayments for AI agent data access. Our early users kept saying, "We're not migrating our production database for LLMs." Fair point. So we built this replicator instead—keep your existing infra, create a filtered replica for AI queries, drop it when you're done. - We have an opinion about the future that we are sharing with everyone 1. The future web is agentic as publishers get fed up with training LLMs and not receiving compensation 2. The agentic web will be agents directly querying databases instead of websites. 3. Your data in your database/datalake shouldn't migrate, but replicate, where agents will pay the most for it. "If you want my data, make me an offer I can't refuse!" Works with any PostgreSQL target, not just ours. PRs welcome, especially for commercial database connectors (Oracle, SQL Server, etc.).

Visit product View on Hacker NewsNov 26, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, agentic · Missing: mac, macos, cursor

91%91% 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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released

60%60% 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: users · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue

24%24% 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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