Basement – a GraphQL API for on-chain Ethereum data

Hacker News

If we want better web3 experiences, developers need better tools. RPC nodes are really good at executing transactions, however they are notoriously cumbersome to set up, and reading large chunks of data is not very efficient: To show a list of transactions and receipts, nodes have to re-execute smart contract code on entire blocks. For every read call. Not great at scale. Which is why everyone is building ETLs to move data from the chain into their own database. This GraphQL API is our first step in allowing developers to spend more time on building product, rather than ETL infrastructure.

Visit product View on Hacker NewsNov 30, 2022

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

72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

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

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% 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

15%15% 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, need better, smart · Missing: chat, crypto, cryptocurrency

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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