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Tok'n'talk – Conversations using your ERC20/ERC71 tokens

Hacker News

Tok'n'talk – Conversations using your ERC20/ERC71 tokens

Hi, we've created an app https://tokntalk.club/ to experiment with using tokens ERC20 and ERC721 in slightly different way than monetary use cases you're familiar with. ERC20 - They are treated as memberships in 'token clubs'. If you have given ERC20 token you can write messages in its dedicated club. eg. Maker MRK club https://tokntalk.club/clubs/MKR or in Berlin Coin BRLN club https://tokntalk.club/clubs/ethereum:0x80046305aaab08f6033b5... ERC721 - Those tokens can be used as avatars. To give you ability to change 'personalities', create their history and grow them as recognizable characters. We are supporting ~40 different kinds of ERC721s and we're always looking to integrate new ones. Now, you might be asking: Why? The reason is simple. We believe that this is the only way for blockchain community to go forward. Communication based on signed messages is crucial for progress but it's not enough. We need filters rooted in the very base of our beliefs. Filters that will help guard our attention from irrelevant information. We are able to provide filters based on all information kept on the blockchain. Amounts of tokens, number of transactions, history of those transactions or any combination of above. You will be able to set your filters to only see messages from people who hold the token for at least 6 months, never sold high and bought the dip later, are really using given token (eg. > 100 transactions in a week). Currently we are focused on Ethereum blockchain but are able to integrate also others. We are also exploring providing APIs for various use cases from simple chat boxes on exchanges, through KYC process based on your blockchain history to monetization platform for crypto influencers. We are looking for feedback on all aspects of the app (we are still improving he UI, it's still not the most friendly thing in the world). We are also looking for partners to explore this space.

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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
92%92% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
67%67% 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 HuntOn track for Day 1 leaderboard · Strong signals: new, using, apis · Missing: mac, agents, macos
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, month, way · Missing: mobile apps, ios, entrepreneurs
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, friendly · Missing: plus, intuitive, reviews
48%48% 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
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, crypto · Missing: web3, cryptocurrency, make money
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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