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NFT Options Trading on Solana

Hacker News

NFT Options Trading on Solana

GM to all, We've been working on an opensource NPM package and tool https://nftoptions.app for creating options contracts on the Solana blockchain. The client is in nodejs https://www.npmjs.com/package/solana-options , with an onchain server written in Rust https://github.com/dbanda/solana-nft-options This package allows you to easily create options contracts for tokens on Solana, with specific expiry times and strike values on the blockchain in one line of code. Similarly, you can use it to mint tokens and create contracts on those tokens. This allows you to do things like mint an NFT for a piece of art and then sell a call contract to buy that NFT at a predefined price. Each contract is tied to an NFT too, so you can easily trade them as well. The onchain program is currently available on Solana devnet and testnet. We hope to launch on mainnet soon and possibly drop the NFTs on platforms such as Solsea for easy exchange. Currently, the web app https://nftoptions.app only supports the Phantom wallet but we are looking to add more soon. We are looking for feedback, contributors and testers. Issues can be filed on the GitHub. As always, any feedback is greatly appreciated. Thanks y’all.

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
58%58% 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, soon · Missing: plus, intuitive, reviews
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: trading, way · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, 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
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: code, open · Missing: mac, agents, macos
22%22% predicted probability of success on Product Hunt, 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 · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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