Decentralized Database

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DB3 is a community-driven layer2 decentralized database network. Infinite Storage Space Scalability is the key to the web3 explosion, db3 will use the following strategies to achieve web3 scale PC can meet the minimum system requirements so everyone can join the db3 network to provide storage space. Using dynamic sharding to achieve scale out. when a storage shard chain has not enough space to store mutation, it will split itself into two subchains. Using cold data archive to recycle storage space. history cold blocks and cold state data will be archived to FileCoin and the storage node will always has storage space to store new data. Blazed Fast and Provable On-chain Query Currently, decentralization means bad performance but db3 is trying to make a big improvement in performance Merkdb is the storage engine of db3 network and it not only has high performance but also the fast-proof generation Geo distribution, the nodes in every storage shard are geo-distributed and the clients can execute querys against the nearest storage node Query session, the first decentralized query protocol to resolve performance and incentive perfectly Crypto Native Data Ownership In the decentralized network, only the private key owners can update their data and they can keep privacy by encrypting their data with the public key On-chain Programmable Dapp developers can develop data processing contracts and deploy them to the db3 network just like developing data backend in web2 Ethereum Guarded Security DB3 network is a layer2 network on Ethereum and all the assets are guarded by Ethereum

Visit product View on Hacker NewsDec 22, 2022

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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best fitHighest predicted score across all platforms for this description.

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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · 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 · Missing: plus, platform, intuitive

31%31% 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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: web3, crypto · Missing: chat, cryptocurrency, make money

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

Correct prediction on native model

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