B2

B2B Sales Meeting Prep

Hacker News

B2B Sales Meeting Prep

I built MeetingLens to solve a real problem in B2B sales which is the need to deeply understand your buyer before a meeting. Researching the attendee and their company is key to positioning your product effectively and delivering real value. It’s what builds trust and credibility, but doing it properly takes time most reps don’t have. MeetingLens automates that prep. It takes a few key details (name, company), pulls relevant public data, and uses AI to generate a concise meeting brief which includes role context, company intel, recent activity, and tailored discovery questions all in under a minute. It’s designed to be simple: no integrations, no setup. Just log in, enter a name and company, and you’re good to go. You get a 5-day trial to test it out. Let me know your thoughts.

Visit product View on Hacker NewsMar 26, 2025

Actual performance

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Launch Intel predictions

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

82%82% 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

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

35%35% 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 released

21%21% 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, revenue

18%18% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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