Fi

FinDrip – a free, data-driven finance email

Hacker News

FinDrip – a free, data-driven finance email

Hi! Thanny here. I’m pretty excited to share a cool project that me and my friend have been working on. FinDrip is a daily (or more) data-driven finance email that sends you curated market information. You can customize when you get your emails and what is contained in them! Right now we offer stock prices, technical indicators, news, and analyst ratings. We’d like to expand and refine our offerings and figure out what people want to see from it, so any feedback would be absolutely appreciated. Here’s a short-ish story of how it got started. Myself and my friend began our Master’s degrees in CS and one of the first classes we took was Machine Learning for Trading. We learned a lot about technical indicators and signals and whatnot. This was a couple of years ago, when crypto was less of a spicy topic, so I decided to put together a quick bot that would scan the market for signals and text them to me. I traded crypto currencies for a while purely based on these signals and ended up making a good bit of profit (don’t worry, I didn’t gamble a lot of money). After geeking out about it for a bit, my fiancé at the time informed me that perhaps other people would like to use it, too. That’s when we started building FinDrip, and it has really evolved from there. Now, we like to see FinDrip as a way to stay up to date on your personal slice of the stock market, without the hassle of scanning charts on various apps that charge insane subscriptions or require you to sign up with a driver’s license. We hope you enjoy it! Let us know what we can do better :-) Hit me up at nmoon@findrip.com

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
74%74% 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 NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: personal, apps, trading · Missing: mobile apps, ios, entrepreneurs
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac, apps, new · Missing: agents, macos, agent
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: profit, subscription · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency
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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