Free Investment Research for Everyone • No Financial Data Paywalls

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Hey, A toolbox for retail investors. Free forever, 25+ years of financial data on global securities (currently 12k). No need to pay for data access, as others define with. Our toolbox contains fundamental dashboards, portfolios, watchlists, simultanous equity research, corporate focus, macro insights, news articles, earnings, sentiments and many more components. Merged into an all-in-one dashboard. Next year we will bring portfolios, watchlists and up-to-date financial data together into a generative AI, that is exclusively trained on, financial/investing & expert knowledge. What do you think about it?

Visit product View on Hacker NewsDec 26, 2023

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Actual performance

3points

1comments

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

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.

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

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

21%21% 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

15%15% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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