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Crypto portfolio risk and scenario analysis with AI agents on top
Hacker NewsCrypto portfolio risk and scenario analysis with AI agents on top
Sentralis.io is a risk and scenario analysis platform focused on cryptocurrency portfolio HODLers It combines hardcore risk analytics capabilities with smart agents for deep insights, suitable for beginners and pros alike. Free accounts have full access to all scenarios and risk quantification. API and MCP access available as well
Share cardActual performance
3points
4comments
Did not reach leaderboard
Launch Intel predictions
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BetaListSuited for BetaList early-adopters · Strong signals: crypto, cryptocurrency, smart · Missing: web3, chat, make money81%81% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: agents, agent, mcp · Missing: mac, macos, cursor42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released25%25% 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, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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