Teams – an easier way to collaborate in Mermaid Chart

Hacker News

A new feature from Mermaid Chart allows users to easily share text-based diagrams with others. What is Mermaid Chart? It’s an extension of open source diagramming tool Mermaid: https://mermaid.js.org . I created Mermaid to make diagramming more fun again. Mermaid Chart helps to bring this to life. With Mermaid Chart, users can easily generate a wide range of charts – flowcharts and pie charts to sequencing diagrams, user journeys, and Gantt – from simple, markdown-style code. Our new Teams feature means these users can securely share diagrams with others, opening up a clear path for more advanced collaboration tools. More to come on that. We are currently offering a 30-day free trial of our newly-launched Pro tier (including Teams) for everyone to experience the power of Mermaid Chart. Documenting and diagramming your code shouldn’t be clunky or boring. It’s time to make it fun again! Sign up for free using your Google or GitHub account. Check it out and let me know what you think: https://www.mermaidchart.com/product

Visit product View on Hacker NewsMay 25, 2023

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

73%73% 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.

TrustMRRFits verified-revenue profile · Strong signals: google, users, way · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, io · Missing: https docs, excited, just released

49%49% 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: users · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: created, including · Missing: supports, reddit linkedin, podcasting

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: collaborate · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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