Mesh – A well engineered SDK for building Cardano blockchain apps

Hacker News

Hi HN! I've been working on Mesh, and I think it is time to it with you guys. Building on Cardano is difficult, because it lacks documentations and proper SDKs. This is where Mesh fills in this gap. With those beginner guides, is incredibly easy to get started, removing the pain of getting the simplest things to work. It is well engineered, the cloest "competitor" package size is over 10MB, while Mesh is less than 300KB, thus its light weight and your dApp will run fast. It is well documented and flexible, so you can build any dApp you can imagine. From the way the code is written to the way it is being used; Please let me know what you think!

Visit product View on Hacker NewsOct 5, 2022

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Launch Intel predictions

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

79%79% 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: ide, io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: apps, way · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

33%33% 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 · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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