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The First Serverless PaaS in Your Own Cloud Account

Hacker News

The First Serverless PaaS in Your Own Cloud Account

Hey HN, Zach here, cofounder of Coherence (withcoherence.com). We’re excited to announce the launch of free-tier compatible serverless deployment options for both AWS and Google Cloud Platform (GCP). This new functionality enables developers to deploy applications directly to AWS Lambda and GCP Cloud Run, leveraging the power of serverless architectures without intermediary platforms. We hope that these provide a way to use Coherence for low-volume or R&D type projects, and open up some interesting new use cases! You can learn more in our docs: AWS Lambda - https://docs.withcoherence.com/reference-architectures/aws/l... GCP Run Lite - https://docs.withcoherence.com/reference-architectures/gcp/r...

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2points
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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist
82%82% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, open · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, 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: platform · Missing: plus, intuitive, reviews
25%25% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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