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Slik Protect – One Click Firestore Backups and Restores

Hacker News

Slik Protect – One Click Firestore Backups and Restores

Hello HN community, We are thrilled to announce the launch of our one-click solution to backup your Firestore database. We built the first completely automated Firestore backups solution, simply because none existed right now. There are various half backed packages or tools that you can use to build one yourself. However, we wanted something — - easy to configure - configure and forget - restore with reliability - support sub-collection backups - get notified Thus we built a SaaS tool for Firestore Backups and Restores. As a SaaS backup tool, we offer — - customizable retention policy - customizable backup frequency - one click restore - slack notifications for backups - low RTO, configurable RPO, and - manually select a few collections (or all collections by default) One more thing. You get realtime progress updates on the Slik Console when your data is being backed up / restored. About Slik Protect: - all backed up data is encrypted using military-grade AES-256 encryption, - each project on Slik has a unique private key, - undergoing SOC2, ISO-27001 compliances, Please let us know if it works for you and if you have any feedback. Visit: https://www.slikprotect.com/apps/backups/firestore Demo video backups: https://youtu.be/68BMnRM9GBg Demo video restore: https://youtu.be/JBaaOJs1SqM Thank you, Arpit, Charvi, Mani, Nithin, and the team behind Slik Protect!

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, apps, using · Missing: mac, agents, macos
72%72% 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
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, ide, io · Missing: https docs, excited, just released
51%51% 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: apps, video · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
21%21% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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