Web3Wizz – Build Web3 Interfaces Without Code

Hacker News

I'm Dité, the founder of Web3Wizz. After 10+ years of building blockchain applications, I noticed a recurring pattern: developers spend 80% of their time creating and fixing UIs for web3 projects, with only 20% spent on actual smart contract development. Web3Wizz solves this by automatically generating intuitive interfaces for any smart contract function. You simply connect your contract, select which functions to expose, customize the look and feel, and integrate it anywhere. Some key features: - No-code interface builder for any smart contract - AI-powered customization (describe changes in plain English) - Auto-scanning of contract functions to create interactive widgets - Custom branding and styling - Future-proof with automatic security updates We're already trusted by projects like Blocksquare and FX1, managing over $700k in TVL through our interfaces and 260+ successful transactions. I built this because I was tired of reinventing the UI wheel for every smart contract project. Most blockchain developers want to focus on contract logic, not spending weeks crafting clean interfaces that handle wallet connections, state management, and error handling. I'd love your feedback on the product. Our goal is to make web3 development more accessible while maintaining the high security standards the space requires. Try it out at web3wizz.com!

Visit product View on Hacker NewsMar 31, 2025

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

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

44%44% 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 · Strong signals: intuitive, interface, builder · Missing: plus, platform, reviews

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: recurring, active · Missing: arr, mrr, revenue

17%17% 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, smart · Missing: chat, crypto, cryptocurrency

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

Correct prediction on native model

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