Mineo.app – Better Python Notebooks

Hacker News

Hello everyone, I would like to introduce our startup to HN: Mineo.app. Mineo.app is a production-ready SaaS Python notebook that provides a complete environment for building your data applications: Dashboards, Reports, and Data Pipelines based on Python notebooks. Key features: * Superpowered jupyter-compatible Python notebooks with extra goodies like: version control, commenting support, custom docker images, etc... enhanced with no code components that allow to create beautiful dashboards and reports. * Data Pipelines: Ability to schedule and run one or more notebooks. * Integrated file system to manage your files and projects with detailed permissions and groups. We have a freemium licensing model, so you can start using Mineo just by registering with your Github/Google/Microsoft account for free without a credit card. And it's free for educational purposes ;-) Diego.

Visit product View on Hacker NewsMay 9, 2023

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

89%89% 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

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

Hacker NewsStrong engagement from HN community · Strong signals: ide, pipe, 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.

TrustMRRLess likely to generate early MRR · Strong signals: google, education · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · 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 · Strong signals: introduce · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

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