Redis object mapper for Python

Hacker News

I'm the author of Redis in Action, and over the last couple weeks whenever I've had some spare time, I've been working on a few side-projects (I know others exist, but I don't like the way they are structured or the way they work). One of them required that I build an object-Redis mapper for Python. When I started to want to use it in another project, I decided it was time to polish it up and release it. Github: https://github.com/josiahcarlson/rom Pypi: https://pypi.python.org/pypi/rom Docs: http://pythonhosted.org/rom I've got to head to the office in a few minutes, but I'll be happy to answer any questions when I get in.

Visit product View on Hacker NewsApr 22, 2013

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

73%73% 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.

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

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% 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

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

Incorrect prediction on native model

Similar products

ESEngine – Elasticsearch Object Doctype Mapper for Python63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ESEngine – Elasticsearch Object Doctype Mapper for Python

Hacker News1

Ducks, the Python Object Indexer45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ducks, the Python Object Indexer

Hacker News2

Multi-Object Trackers in Python44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Multi-Object Trackers in Python

Hacker News1

marshmallow - Python Object Serialization, Lightweight and Fluffy38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

marshmallow - Python Object Serialization, Lightweight and Fluffy

Hacker News2

Multi-Object Tracking in Python52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Multi-Object Tracking in Python

Hacker News48

Retina – An Object Detection Library in Python55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Retina – An Object Detection Library in Python

Hacker News1

I, Object Demystifying the Ruby Object Ancestry37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I, Object Demystifying the Ruby Object Ancestry

Hacker News2

Object.freeze() for Go39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Object.freeze() for Go

Hacker News1

Harris–Object Oriented Redux48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Harris–Object Oriented Redux

Hacker News3

LCON – Ludicrously Compact Object Notation50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LCON – Ludicrously Compact Object Notation

Hacker News35

Browse all products Analyze your launch