Brainpick – StackOverflow for Enterprise

Hacker News

Meet Brainpick.co.uk, it's like Stackoverflow, but for Enterprise. Our platform connects you with experts who can help to answer your complex enterprise questions. It's a paid service, but you only pay for the answer you accept, so it's a no risk scenario. Right now, we've got a number of awesome Oracle experts on board, and we're always adding new members. I started Brainpick for two reasons: 1. There are so many knowledgeable people in the enterprise space who are willing to share their expertise. 2. I wanted to create a freelancing platform that doesn't require you to constantly sell yourself and compete for customers. I think the Stackoverflow's model is perfect for this purpose. We are still validating the idea, and we need your questions to understand the limits of the platform. At this stage, we don't require credit card information to post a question, however you are expected to put an amount you would pay for a correct answer. P.S. The currently available questions will pay real money.

Visit product View on Hacker NewsMay 17, 2023

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4points

9comments

Did not reach leaderboard

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

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best fitHighest predicted score across all platforms for this description.

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

63%63% 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 · Missing: https docs, excited, just released

60%60% 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: way · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

26%26% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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