Free-friendly serverless support for AWS and GCP

Hacker News

Text: Hey HN, Zan here, cofounder of Coherence (withcoherence.com). We’re excited to announce the launch of serverless deployment options for both AWS and Google Cloud Platform (GCP), both of which are free-tier compatible. 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...

Visit product View on Hacker NewsAug 13, 2024

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

81%81% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, open · Missing: mac, agents, macos

68%68% 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

56%56% 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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

27%27% 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

14%14% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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