A Data Stack for Web3

Hacker News

Hey - We're building https://luabase.com/ . tl;dr - Luabase is a data stack for web3 teams. We make it easy to query any blockchain with SQL, analyze it in notebooks, and embed the data in your app with our API. You can answer questions like: how many people that used Uniswap also have an ENS / .eth address? I know a lot of people here hate crypto. I get it. There's a lot of bullshit and scams in crypto. I'm personally drawn to it because a lot of financial applications suck and crypto provides a set of open source tools to build better ones. Anyway, if you're into web3, check it out and let me know if I can answer any questions. I'll be around.

Visit product View on Hacker NewsOct 28, 2022

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4points

3comments

Did not reach leaderboard

Launch Intel predictions

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

68%68% 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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

61%61% 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: personal, way · Missing: mobile apps, ios, entrepreneurs

46%46% 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

32%32% 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 · 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.

Incorrect prediction on native model

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