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Cadet, a jRuby wrapper for Neo4j (including batch insert mode support)

Hacker News

Cadet, a jRuby wrapper for Neo4j (including batch insert mode support)

http://github.com/karabijavad/cadet also, checkout https://github.com/karabijavad/congress-graph for an example of its usage. congress-graph utilizes cadet's ability to do neo4j batch insert mode to insert tons of data re: legislators, committees, etc into a graph database in a matter of minutes. cadet also has its own DSL which allows for easy creation of nodes via the following statement: Person_by_name("Javad").lives_in_to City_by_name("Chicago") feel free to ask me any questions. thanks!

Visit product View on Hacker NewsMay 15, 2014

Actual performance

5points

2comments

Did not reach leaderboard

Launch Intel predictions

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

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

nativeThis product was originally launched on this platform.

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

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

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

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

47%47% 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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

14%14% predicted probability of success on BetaList, 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.

Incorrect prediction on native model

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