Wo

Women Entrepreneurs Networking Site

Hacker News

Women Entrepreneurs Networking Site

This past weekend at Startup Weekend MKE, a great team of people and I worked on a networking website that focuses on women entrepreneurs. The website is meant to serve as a way for women entrepreneurs to connect, get advice from others, and see events posted in their area. It is not exclusively for women, but the idea is to help decrease the gender gap in the startup community. Please check out our website and sign up if you are interested.(www.goconnectgrow.co) Abby

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Actual performance

15points
17comments
Made the leaderboard

Launch Intel predictions

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TrustMRRLess likely to generate early MRR · Strong signals: entrepreneurs, way · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: exclusive · Missing: plus, platform, intuitive
25%25% 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
15%15% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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