A database of 52k+ investors to raise your seed round

Hacker News

Hey guys! Investor Scout (https://investorscout.co) is a categorized database of over 52,000 angel investors, venture capitalists, and VC funds. Stumbling through bottomless Google results, Twitter bios, AngelList & LinkedIn profile, and Crunchbase pages to find the best investors to pitch your startup can take hundreds of hours to do effectively. Investor Scout aggregates 52k+ investors, their emails, phone numbers, and hundreds of thousands of other data points in one place so you can quickly find the best investors to pitch your startup to + their direct email address so you can spend less time researching and more time actually booking calls, taking meetings, and CASHING CHECKS For this update we’ve: - Overhauled our dataset by adding thousands of new investors and spending a ton of money verifying their emails (to minimize bounce rate and save you time) - Built out new bulk investor selection tools so you can select up to 50 investors at once instead of one-by-one, and for premium accounts to build unlimited lists and export an unlimited amount of investors - Added a free plan so you can give Investor Scout a shot without a big commitment Investor Scout plans start at $69/mo, but we’ve made a special 50% off forever lifetime discount code for early adopters on Hacker News: ‘EARLYADOPTERS’. This code makes us the most affordable investor database on the market––this code expires this week so if you want to give us a try, now’s a great time. We’d love feedback & ideas on how we can keep improving Investor Scout and make it the best place to raise your seed round! Thanks for reading this - Matt & Aaron PS: We also just launched on Product Hunt: https://www.producthunt.com/posts/investor-scout-2-0

Visit product View on Hacker NewsAug 20, 2019

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

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best fitHighest predicted score across all platforms for this description.

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

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, ide, 000 · Missing: https docs, excited, just released

46%46% 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: ios, google · Missing: mobile apps, personal, entrepreneurs

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% 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

20%20% 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.

Correct prediction on native model

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