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I got tired of checking 5 dashboards, so I built a simpler one

Hacker News

I got tired of checking 5 dashboards, so I built a simpler one

Hey, I’m Felix, an 18-year-old student from Austria. I’ve built a few small SaaS projects, mostly solo, and I kept running into the same small but persistent problem. Whenever I wanted to understand how things were going, I’d end up jumping between Stripe, analytics, database queries, logs, and cron scripts. I even built custom dashboards and Telegram bots to notify me about certain numbers, but that just added more things to maintain. What I wanted was something simpler: send a number from my backend and see it on a clean dashboard. So I built a small tool for myself. It’s essentially a very simple API where you push numeric metrics with a timestamp, and then view them as counters, charts, goals, or percentage changes over time. It’s not meant to replace analytics tools. I still use those. This is more for things like user counts, MRR, failed jobs, or any metric you already know you want to track without setting up a full integration. Some intentional constraints: - no SDKs, just a basic HTTP API - works well with backend code and cron jobs - stores only numbers and timestamps - flexible enough to track any metric you can turn into a number It’s still early and very much an MVP. I’m mainly posting to get feedback: - does this solve a real problem for you? - what feels unnecessary or missing? - how would you approach this differently? Website: https://anypanel.io Happy to answer questions or hear why this doesn’t make sense. Thanks, Felix

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Actual performance

4points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, stripe, code · Missing: mac, agents, macos
78%78% 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
63%63% 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
51%51% 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
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: mrr, saas · Missing: arr, revenue, profit
21%21% 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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