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The Crowd List – A Startup Equity Investing Directory

Hacker News

The Crowd List – A Startup Equity Investing Directory

Hi HN! A quick backstory – I discovered equity crowdfunding a few years ago but grew frustrated with the increasing number of funding portals and having to search several different places to find interesting companies to invest in. To solve this issue, I created The Crowd List and I’m excited to be sharing it with you all! What is The Crowd List? The Crowd List is a constantly updated directory of every startup, or established company, that is running an equity crowdfunding campaign. It’s too difficult to search every funding portal, every single day, to find out who is raising. We’ve consolidated that list into one place so you can learn which companies are looking for investors like you! How does it work? When you sign up for The Crowd List you will have 24/7 access to the constantly updated directory of equity crowdfunding campaigns. Who is it for? Anyone who is interested in investing. Give it a try! Thank you for your support!

Visit product View on Hacker NewsOct 1, 2022

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

70%70% 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.

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

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

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

32%32% 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

12%12% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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