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Staat – mission control for eng managers

Hacker News

Staat – mission control for eng managers

We made this because we thought managers could be more strategic and effective for their teams, their stakeholders, and themselves. One central place to get a pulse on project changes, bottlenecks, and updates from across tools. Think of it as a manager IDE. No not an engineering performance measurement tool, a first point of contact to triage and prioritize the day without having to spend time digging into 4-5 information channels (Slack channels, unexpected meetings, task management boards, pull requests, etc). This is our experimental quest at rethinking the manager workflow. De-cluttering everyday information to get to answers fast with a clear view on where things are and how things are moving is our starting point. We'd love your feedback! We have over 375+ managers on our waitlist and would love to put this in the hands of all managers. We’re offering a Staat First 500 promo code to anyone who wants to try it out for free!

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Actual performance

21points
13comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
70%70% 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: slack, code · Missing: mac, agents, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: 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 · Strong signals: answers · Missing: mobile apps, ios, personal
39%39% 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 · Missing: arr, mrr, revenue
16%16% 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.

Correct prediction on native model

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