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Real-time charts around your Firebase data

Hacker News

Real-time charts around your Firebase data

Hey everyone, I'm excited to share a project I've been working on called Ventivo . It's a tool that lets you visualize your Firebase data in real time, making tracking what’s happening in your app easier. I built Ventivo because I’ve worked on a lot of projects using Firebase, and I always found it challenging to get quick insights into the data. Ventivo simplifies that process by allowing you to create real-time charts with just a few clicks. You can customize the visuals to fit your needs and manage everything from a straightforward dashboard. I’m really curious to hear what you think about it. If you're interested, you can check it out at https://ventivo.co . I’d love any feedback or suggestions you might have. Thanks for taking a look!

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Product HuntOn track for Day 1 leaderboard · Strong signals: visual, using · Missing: mac, agents, macos
81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist
50%50% 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 · Strong signals: visualize, way · Missing: mobile apps, ios, personal
36%36% 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
34%34% 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
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real time · 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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