I built an end user announcement service that needs no deploys

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Hey everyone! My name is Will. I’ve been leading engineering teams for over two decades. Also, first time HN user here! One of the common pains I’d encounter in nearly every product I managed was alerting end users to infrequent events like outages, global announcements, beta launches, planned maintenance, etc. We’d always need to deploy custom, one-off modals or other alerts and then have to remember to revert them later. It was always a time sink for a developer to put aside what they were working on to make this happen. This Is Not A Drill! is a simple-to-install JS SDK that makes it simple to put these kinds of alerts on any page of your app. With one line, developers can have flexible, customizable alerts (toasts, modals, inline) appear whenever and wherever you want them, as well as keep track of who saw them. So if your product manager comes to you on a Friday about something that needs to be announced 6am Monday, you no longer need to work through the weekend! :D I’d love your feedback on what I’ve built. This is my first solo SaaS tool that I’ve built and launched into the wild - so feedback and inputs are very, very appreciated. Website: < https://this-is-not-a-drill.com > Live demo site: < https://tinad-demo-dashboard-production.up.railway.app/demo-... > (Please note the live demo site is best on laptop for now.) Thanks!

Visit product View on Hacker NewsApr 19, 2024

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

86%86% 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: user · Missing: mac, agents, macos

85%85% 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

57%57% 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: users, way · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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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