Sales hackers – Glassdoor for salespeople

Hacker News

Hey HN! I had an idea a few months ago to create a Glassdoor like site for sales people. So it's a crowdsourced site where you'd be able to see if company you're talking (or targeting) has big budgets, requires IT/procurement processes, is generally risk averse etc. All companies have a culture that determine how things get done, including buying tools. So this is just a crowdsourced way to share that information. MVP is super simple - just an excel sheet that my friends and I have added to over the last few months for now. We sell into marketing mostly. Contribute if you find it interesting/helpful, and only share what your comfortable with - don't feel like you need to share anything competitive! Would love any feedback as well. Thanks: https://docs.google.com/spreadsheets/d/1swSrr8gXflyPxGVBriUj...

Visit product View on Hacker NewsSep 19, 2017

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Did not reach leaderboard

Launch Intel predictions

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released

51%51% 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: month, google, way · Missing: mobile apps, ios, personal

47%47% 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

39%39% 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

16%16% 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.

Incorrect prediction on native model

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