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LocalOps – Deployment automation tool to make Private SaaS easy

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LocalOps – Deployment automation tool to make Private SaaS easy

Hey there. Anand, here from LocalOps. We have built a deployment automation tool to provision production environments on AWS and other cloud providers, with just a few clicks. Especially to make Private-SaaS / Single tenant deployments easy. We opened up signups for everyone, after being in closed beta for a while. Checkout https://localops.co Why did we build LocalOps? We found businesses in regulated industries such as Financial services and Healthcare have a lot of restrictions while signing up for B2B SaaS. They can’t share their data as freely as others, need data hosting in their own region, need more privacy & performance guarantees or at the very least need developers to maintain HIPAA, SOC2 and other compliances year on year. We wanted to make it easier for small developer teams to easily deliver to these regulated businesses. So we built a cloud-native deployment tool to connect to any cloud provider and deploy applications with just a few clicks. Developers can deploy applications directly on customer’s cloud environment, skip hosting these accounts themselves and side-step a lot of data security compliance obligations. We have built LocalOps to automate such Private-SaaS deployments end to end on any public cloud. Docker packages? Alternatively, Devs can package their applications as Docker image and hand it off to customers IT team to self host, install and maintain. But I’ve heard from CTOs that Day-2 operations are super hard in this way. Monitoring these deployments remotely, keeping them up-to-date and offering same experience as their public SaaS etc., lacks tools and automation. Big developer teams build such tools in-house. We wanted to bring this to smaller developer teams as well. How? Each customer deployment is considered as an App environment. They work the way same no matter which cloud they run on. One can signup for LocalOps, provide credentials to a target cloud account & private Helm repo, and deploy a production grade app environment on that cloud in about 18-20mins and get a SSL enabled URL for the specific app instance. Each app environment is backed by a Kubernetes cluster to run Apps as Helm installations. Plus, we bundle each App environment with complementary tools to enable deployments, logs and metrics monitoring, encrypt data volumes and more to free up devs from making such choices. Demo video: https://youtu.be/nWAu6NCvEU4?feature=shared Anyone can signup now at https://console.localops.co/signup and try out. I would love to hear your feedback. Have you tried selling to these industries? Please add in your stories on making such private deployments, if you have one to share. It will be super helpful. Cheers.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
93%93% 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: apps, dock, single · Missing: mac, agents, macos
72%72% 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
66%66% 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: plus, host · Missing: platform, intuitive, reviews
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, video, way · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
24%24% 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.

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