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Hypership – 1-Click Deploy Next.js Apps with Auth, Dashboard, and More

Hacker News

Hypership – 1-Click Deploy Next.js Apps with Auth, Dashboard, and More

Hey HN! Jay here from Hypership. We built Hypership to solve the frustrating process of cobbling together different services every time you want to launch a new web app. Hypership lets you deploy a React or Next.js app instantly with: - Built-in user authentication - Very simple deployments (Without GitHub) - Pageview analytics - Event tracking - Admin dashboard We also have plans to ship a lot this year. Pretty much any service you need to launch a successful product will be integrated into Hypership: - Managed database (coming soon) - Forms (coming soon) - Helpdesk (coming soon) - Error logging (coming soon) - Much more! All preconfigured and ready to go with a single command or the click of a button through Hypership.dev It's not a no-code solution. We've used no-code before and always hit a point where we were wanting more from them. With Hypership, you get the full source code locally and can push changes whenever you want. No vendor lock-in - use all features or just pick what you need. We built this because we were tired of spending days setting up auth, analytics, databases, etc for every new project. We've trialed it out ourselves by building a few products using it and it has saved us a ridiculous amount of time already. You can just focus on shipping features and not the boring integration work that comes after building an app. We would absolutely love your feedback! Cheers HN!

Visit productView on Hacker NewsFeb 22, 2025
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, new · Missing: mac, agents, macos
94%94% 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
81%81% 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
60%60% 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: apps, 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 · Strong signals: soon · 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
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.

Incorrect prediction on native model

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