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Investor Hunt is a database of 40k+ investors to raise your seed round

Hacker News

Investor Hunt is a database of 40k+ investors to raise your seed round

Hey guys! Investor Hunt ( https://www.investorhunt.co ) is a categorized database of 40k+ angel investors and venture capitalists. Figuring out which investors are likely to be interested in your project and how to get in direct contact with them is a nightmare. All this data is spread out, and finding it pushes you down a rabbit hole of AngelList, personal websites, Crunchbase, and VC fund portfolio pages. All this can take hundreds of hours of research––hours you could be using to actually close rounds. For the last few years while we’ve been fundraising for different projects, we've built out spreadsheets of all the investors we’ve met with (and who we’d want to meet) complete with data like where to best contact them. Over the years, our private lists grew to over a thousand investors. After building the data engineering tools to make Press Hunt ( https://www.producthunt.com/posts/press-hunt ) and Howler ( https://www.howler.media/ ) possible, we realized it would make perfect sense to use them to grow our lists of investors into a comprehensive all-in-one database. Investor Hunt is a simple SAAS product that aggregates the names, contact info, investment focuses, past investments, and locations of the best investors in the world in one place. We’ve grown the list to 40k+ investors (~30k of them have emails, and the rest have alternative contact links like Twitter, LinkedIn, and AngelList). The database is still very much a WIP––we’re constantly enriching data and adding new sources. We’ve been using this ourselves (and have a few beta users), and have found it really useful, and it’s now 10x bigger than other investor database alternatives. We also just launched on Product Hunt: https://www.producthunt.com/posts/investor-hunt . We’d love feedback––thanks for the time! - Matt, David, Ermek, & Rashid

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, email · Missing: mac, agents, macos
87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, users · Missing: mobile apps, ios, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · 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.

Incorrect prediction on native model

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