I built a tool to expand your network (that introverts will love)

Hacker News

As someone who struggles with social anxiety, expanding my network through traditional means has always been challenging. I found existing networking apps either too spammy (LinkedIn) or too much like professional dating (Bumble Bizz), and they just didn’t work for me. About a year ago, I developed a matching system for a local startup accelerator. This system connected founders, mentors, and investors based on industries, skills, and job functions, facilitating over 5,000 meetings that led to some amazing outcomes. Inspired by this success, I enhanced the system to focus on email introductions. Here’s how it works: - It analyzes backgrounds and interests. - It sends intro proposals to each person. - If both respond, it makes the intro. My goal is to help people meet interesting contacts without the stress, using email to keep the process simple and integrated into daily routines. I’d love for you to try it out and share your feedback. Your thoughts and suggestions for improvement are greatly appreciated!

Visit product View on Hacker NewsJul 23, 2024

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

81%81% 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

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

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

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, 000 · Missing: https docs, excited, just released

41%41% 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: apps, way · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, 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 · 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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