Reduce your app's time to market with Launchtoday

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If you are building a mobile app with Expo and React Native, Launchtoday can help you reduce development time by up to 80% and accelerate your app's launch. Launchtoday provides a comprehensive boilerplate with essential integrations, minimizing time to market: - Built with Expo: Develop universal apps with support for Web, iOS, and Android - Supabase Integration: Manage authentication and data storage with a Postgres database (AWS integration is in progress). - Push Notifications: Utilise Expo and Firebase to engage your users effectively. - Payment Solutions: Integrate Stripe and RevenueCat, including support for Apple/Google Pay. - Chat Functionality: Enable chat features with Stream. Privacy-Focused Analytics: Implement privacy-conscious analytics with Metricalp (receive a 20% discount on any plan with Launchtoday). - Monitoring: Monitor app health in production with Sentry. Here is a recent testimmonial on how Launchtoday reduced the time to market: “Launchtoday significantly reduced our development time, saving us at least 20 hours during our app’s migration to React Native. Within an hour, we had authentication and the basic UI set up efficiently.” Optimise your development process with Launchtoday and bring your app to market faster. If you are a YC startup building mobile apps, contact me directly (via DM) on X for a discount: https://x.com/paulwaweruco

Visit product View on Hacker NewsJun 21, 2024

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

95%95% 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: apple, google, apps · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: mobile apps, ios, apps · Missing: personal, entrepreneurs, video

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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