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Virtual crypto trading platform safe for mental health
Hacker NewsVirtual crypto trading platform safe for mental health
Hello everyone! I've built https://mamkin.trade — crypto market where you can trade crypto assets for virtual money. It's supposed to be a fun game without the risk of loosing money. You register, get virtual $10 000, trade and compete with others on leaderboard. Please, let me know about your thoughts: cool or meh. I tried to simplify the trading process as much as I could but still maintain the integrity of trading process.
Share cardActual performance
1points
Did not reach leaderboard
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting74%74% 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.
TrustMRRLess likely to generate early MRR · Strong signals: trading · Missing: mobile apps, ios, personal49%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 · Missing: plus, intuitive, reviews48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: 000 · Missing: https docs, excited, just released37%37% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos14%14% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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