A Serverless CMS and SSG

Hacker News

Almost CMS is an Open Source serverless CMS to help you build, manage and deploy static sites easily, quickly and free. https://github.com/gkpty/almost_cms It provides users a friendly GUI (thats also static) to help you add posts and pictures to your static site. It's fully mobile compatible meaning you can publish content from your phone. Built with ReactJS, Amplify, GraphQl, DynamoDB, Lambda, Amazon SDK. We are looking for collaborators and any type of feedback. We want to give something back to community by developing this tool and keeping it Free for ever. We are just a team of two, one full stack developer and one business developer. We need your help Our features roadmap is coming soon. Link to our project board in Github. https://github.com/gkpty/almost_cms/projects/1 Thanks everyone

Visit product View on Hacker NewsMay 1, 2019

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Launch Intel predictions

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

69%69% 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 · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

62%62% 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: users · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% 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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