Closer View

TrustMRR

CloserView is the AI assistant for closers and sales teams. The Chrome extension listens to your Google Meet, Zoom, or Onoff calls in real time, suggests responses to objections, follows your sales script, and alerts you about compliance issues. At the end of each call, the AI automatically scores the conversation across 48 criteria, identifies key moments and missed opportunities, and provides an action plan. Managers can oversee their team through a dashboard with leaderboards, closer-specific

Visit product View on TrustMRRMay 1, 2026Sales Software stripe

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Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

78%78% 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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

49%49% 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 · Strong signals: calls · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, 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

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto

20%20% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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