Find any smart contract on Cookbook

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Cookbook is a free open Smart Contract Marketplace. Find, deploy and integrate the smart contracts used and audited by other projects. - view audits and stats - no-code deploy supporting 9 chains - contribute and collaborate with other web3 developers Currently it is extremely difficult to find good talent when building on blockchain or if you want to create smart contracts. Cookbook.dev makes web3 projects easier to build and launch. Bringing down the cost of development is crucial to onboard the next 10,000 businesses onto web3. How does it work? Step 1. Search for the Smart Contract you are looking for. For example:- Azuki Contract or Create your own token or NFT staking, choose from hundreds of smart contracts Step 2. Choose the Smart Contract you want. For example:- Choose based on your use case such as Create a DAO, NFT minting website or any use case you desire… Step 3. Customize it from our user friendly nocode UI and deploy Optional Step: Upload your own contract to share with others or reach out to us if you don’t find the smart contract you want. Why use Cookbook.dev? Reduce development cost Faster time to build Simple and easy to use UI Save $$ on security audits Our no code and low code solution encourages more people to build in Web3 Our ask Our platform is completely free to use, the only thing we ask for is feedback - https://www.cookbook.dev/ We would love to know what can we do to make your life easier or how can we make our platform better, you can share your feedback with us here - https://discord.gg/9TwGrYbQCD

Visit product View on Hacker NewsOct 14, 2022

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

78%78% 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: user, code, open · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

58%58% 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: platform, friendly, user friendly · Missing: plus, intuitive, reviews

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

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

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

10%10% 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, collaborate, 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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