TowerBI – Simple programmable business intelligence tool

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Hello, my name is Marwan. I am glad to show you what my team were working on during the past year. TowerBI is a simple programmable business intelligence tool that gives you a platform to build data collectors on, monitors store, and a simple way to represent the data. It all started out of our frustration with current BI tools. You will notice (after the store gets more monitors) how simple the monitors are, and how not using charts (yes, no charts) is better most of the time. Right now, there is no way to connect to databases, only monitors that get their data using HTTP, and monitors that use data collectors (docker containers) can be developed. We hope we start to develop more monitors with you and build the next generation of BI tools. Happy to answer your questions if you have any.

Visit product View on Hacker NewsMar 17, 2022

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

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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

60%60% 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: way · Missing: mobile apps, ios, personal

54%54% 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

46%46% 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

13%13% 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

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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