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Databasus – open-source backup tool for PostgreSQL, MySQL and MongoDB

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Databasus – open-source backup tool for PostgreSQL, MySQL and MongoDB

I had a post in the start of December about Postgresus 2.0: self hosted tool for PostgreSQL. Since then the project changed the name and added support of other databases: MySQL, MariaDB and MongoDB. Website - https://databasus.com GitHub - https://github.com/databasus/databasus Main features: - Scheduled backups for multiple PostgreSQL, MySQL, MariaDB and MongoDB databases - Storage to S3, Cloudflare R2, Google Drive, Azure Blob, NAS, SFTP, rclone, etc. - Notifications about backup status via email, Telegram, Slack, Discord, MS Teams and customizable webhooks - Works with both self-hosted and managed PostgreSQL (RDS, Cloud SQL, etc.) - Runs as a single Docker container or via Helm on Kubernetes, can be installed via script - There are workspaces and role-based access with audit logs

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, google, dock · Missing: mac, agents, macos
77%77% 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
54%54% predicted probability of success on Indie Hackers, 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
49%49% 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: google · Missing: mobile apps, ios, personal
49%49% 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
45%45% 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
13%13% 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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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