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Connect with investors in minutes not months

Hacker News

Connect with investors in minutes not months

If you are not connected in the world of venture capital it can be very difficult to meet with investors. Your best options are to get introductions from people you know or just reach out directly. Unfortunately, the response rate to such outreach is typically very low which means you need to message a lot of investors before getting responses. This can be very time-consuming, in fact, fundraising can consume up to 70% of a founder's time - identifying potential VCs, finding the right people to contact and then crafting a personalised message that gets their attention. Investor Hunter uses AI to automate this process giving you the best chance of getting funding. It works in 3 simple steps: 1 - Tell us about your startup Your industry, target market, funding goals, and more. This helps our AI understand your startup better. 2 - Intelligent Matching Our AI will analyse your startup's profile and match you with the most compatible investors from our vast database of over 100 000 investors. 3 - Automated Introduction Our AI will then draft a highly personalised introductory email, using persuasive and professional language that reflects your brand, to kick start the conversation.

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Actual performance

2points
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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
95%95% 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: email, using · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, month · Missing: mobile apps, ios, entrepreneurs
46%46% 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, 000, io · 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% 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
17%17% 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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