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AngelvsVC – Find your perfect investor match

Hacker News

AngelvsVC – Find your perfect investor match

Why you should run from an investor offering you a big check Remember that episode from "Silicon Valley?" Richard Hendrix, the socially awkward yet genius founder of Pied Piper, faced a life-altering choice: take a whopping $10 million buyout from the corporate giant Hooli and its pompous CEO, Gavin Belson, or get a much smaller investment from the eccentric billionaire Peter Gregory to develop the product on his own. While Gavin's offer was tempting, Richard realized the true value lay in Peter's deep tech understanding, despite his oddball burger habits. It's classic fast cash vs. genuine support dilemma I built this platform for those who wants to find a perfect investor for their startup, but struggle across hundred thousands of VC firms and investors.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
88%88% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: pipe, io · Missing: https docs, excited, just released
47%47% 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
40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
19%19% 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
18%18% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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