Starpad-Launch your own social token or membership NFT with no code

Hacker News

Hey everyone! Starpad is building a suite of no-code tools for creators or anyone with a vision around communities to build a business around membership NFTs and social tokens. Our tool to make social tokens is live and public and we've opened up registrations for our second tool that lets you launch your own membership NFTs. What's different? For social tokens - Traditionally, token minting tools let you launch your own tokens but they are worthless. You have to create a liquidity pool, maintaining which can take a lot of time and effort. Our tokens are all minted on a bonding curve, so your tokens can be bought and sold from day 1. For the membership NFTs - We're streamlining the entire process of designing and generating NFT membership tiers, so all you have to do is fill out a few forms and your landing page for the NFTs will be up and ready :) Sign up and let me know what you think! ______________________________________ Here are our socials - Twitter - https://twitter.com/joinstarpad Discord - https://discord.gg/gCMAZ6GfdQ Webapp - https://app.starpad.xyz

Visit product View on Hacker NewsFeb 10, 2022

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1points

Did not reach leaderboard

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

80%80% 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.

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

60%60% 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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: code, open · Missing: mac, agents, macos

45%45% 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

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

18%18% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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