I built a real professional network because was sick of following/DMing

Hacker News

Hey everyone, I have been doing Indie Hacking for almost 2 years. I was sick of following people on social media or DMing and calling it networking. So, I built a network/platform where professionals meet with fellows via scheduled video calls. We as a community believe that this is a better way as an initial contact than follows and direct messages. Our platform is open for free, early access, currently. Feel free to check us out at https://makermeet.me and if our mindsets match, you may join us at https://app.makermeet.me/ Whom is it best for? It's perfect for entrepreneurs, indie hackers, developers, designers, social media marketers and more. Whether you're just starting out or looking to expand your network, you are welcome. What would be the gain? Strong network is our need as a member of the community. We need an audience for our products, clients for our services and professionals to hire them or make them hire us. First time meeting people in need would work much less than asking people already in our network that we build via more than just following each other or direct messages. And this is the network where you meet people face to face without immediate requests/needs.

Visit product View on Hacker NewsNov 22, 2024

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Indie HackersFits the IH revenue-focused audience · 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: open · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, 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

39%39% 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: entrepreneurs, video, way · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

36%36% 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

21%21% 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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