Open-Source Bloomberg Terminal Alternative for Investment Research

Hacker News

Fincept Terminal is your one stop solution for investment research and data analysis and the exciting part is it's free and open source. What data can you find on terminal? Everything from economics, trade, financial markets, all kind of asset classes, truly there are no limitations you can add your own add sources of any kind. Form good and appealing visualization to exports all the data we truly provide you power to change and edit the results and sources. We have integrated ai models which are independently capable of analyzing portfolio, news, and sectors. We are truly working day and night to take it more better please star the repo to receive future updates on the repo also we are looking for active contributors from different countries if you are the one kindly fork the repo and help us to beat the most expensive terminal in the world.

Visit product View on Hacker NewsJan 25, 2025

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Launch Intel predictions

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

83%83% 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: model, new, models · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

54%54% 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 · Missing: mobile apps, ios, personal

41%41% 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

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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