I made partner hunt to help you find Job or Teammates for your Projects

Hacker News

Partner Hunt is a dynamic platform designed to help individuals and businesses find the perfect partners for their projects, ventures, or collaborations. Whether you're a startup seeking investors, a freelancer looking for new opportunities, or a business hunting for strategic alliances, Partner Hunt connects you with the right people to achieve your goals. It offers a user-friendly interface that allows you to post and browse detailed partner profiles, search for specific expertise, and explore potential collaborations. With advanced filtering options and a focus on creating meaningful professional connections, Partner Hunt makes it easy to network and find reliable partners tailored to your unique needs. There are many problems with platforms like Freelance.com or Fiverr, one of them is finding clients or teammates. I wanted to solve this with an easy way. Every one can view profiles but the Profiles position is always randomized, so everyone can have chance to be exposed and rise the chance of Finding someone to collaborate with. Partner hunt is completely for free and everyone can create their own Profile. There is only daily Contact Request limit to prevent spamming. If someone send you a contact Request after you created own profile, you will get Notification with Email which you can use to answer the Person who want to collaborate with you. If you have any suggestions, improvements, or you have found a bug, please let me know :)

Visit product View on Hacker NewsNov 21, 2024

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AppSumoStrong fit for a featured deal · Strong signals: platform, friendly, interface · Missing: plus, intuitive, reviews

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

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

33%33% predicted probability of success on TrustMRR, 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

27%27% 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

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

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Correct prediction on native model

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