Supermission

TrustMRR

DeFi takes 5+ tools to use properly. Supermission is an agentic trading terminal that replaces all of them. Five AI trading agents handle execution end-to-end across 7 protocols: swaps on Uniswap, yield optimization on Morpho and Aave, prediction markets on Polymarket, contract audits, and token due diligence. Live across Base and Polygon with 3,200+ on-chain transactions from 100 wallets (32 per user avg). $0.15 revenue per agent call at $0.002 cost. Every agent registers with on-chain identity

Visit product View on TrustMRROct 25, 2025Artificial Intelligence Community whop

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating6

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, agentic · Missing: mac, macos, cursor

69%69% predicted probability of success on Product Hunt, 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 · Missing: supports, reddit linkedin, podcasting

51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: trading · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

19%19% 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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