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grep through an entire mongo database

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grep through an entire mongo database

Helper functions for the mongodb shell 1. db.grep() -Search through all fields in all collections in a database for a value. By default it searches only indexed fields. To include non-indexed fields, specify the second parameter as true. 2. db.collection.fields() -list all keys in a collection -by default, it only checks 10100 documents to get an exhaustive list, if you document varies across the collection, do: db.collection.fields(true) To use, copy and paste the contents of mongohelper.js into your mongo shell. or: load("/path/to/mongohelper.js"); available here: https://github.com/blowhacker/mongohelper/blob/master/mongohelper.js

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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
56%56% 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 · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting
32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
13%13% 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
12%12% 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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