Distributed In-Memory data-store build with Go

Hacker News

Hi everyone, EchoVault is a distributed in-memory data store and cache built entirely with Go. Features include: TLS & mTLS connections Persistence and recovery layer using Append-Only files and Snapshots Distributed Pub/Sub w/ Consumer Groups Replication layer using RAFT algorithm (leveraging hashicorp memberlist & raft) Access Control List Set, Sorted Set, List, and Hashmap data structures There are more pending features in the pipeline, such as eviction policies and transactions. You can check out the GitHub repository: https://github.com/EchoVault/EchoVault

Visit product View on Hacker NewsFeb 26, 2024

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

65%65% 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.

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

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

18%18% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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