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Hi all ! We built a fantastic full agentic ai system for funders and product managers explore and pilot their product strategies. With a team of orchestrated, objective drive and self enhanced AI Agents doing strategic expertise you benchmark your pricing, define your GTM strategy, roadmap and more. We simulate your users and for each segment the system give you deep insights (churn, adoption, which features to develop etc). Objective is to have a digital twin of your business and take decision based on simulated outcome Need your help : We have lots of visitors but few (free) sign up (ok we launched some weeks ago, but we expected more converstion). We need to understand why. :-) Tks ! Jerome.

Visit product View on Hacker NewsJun 19, 2025

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Launch Intel predictions

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best fitHighest predicted score across all platforms for this description.

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

59%59% 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: io · Missing: https docs, excited, just released

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

28%28% 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

25%25% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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