Mochi VS Jsonify
Compare Mochi VS Jsonify and see what are their differences
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Mochi
Anki
Quizlet
RemNote
Memrise
AnkiDroid
Brainscape
Cram
Jsonify
OData
Jsonify is an AI "data intern" in the cloud -- an intelligent AI agent that can automate data collection and maintenance tasks involving the web and documents. We automate the collection and maintenance of your entire web data pipeline, end-to-end. Jsonify visits websites, understands them in the same way a human does, navigates the website to find the data you want, extracts it, validates results, and synchronizes it somewhere useful for you โ all from our dashboard.
The no-code workflow builder lets you easily script varied tasks. For example: - "every day, go to each of these companies, navigate to the team page, find the LinkedIn of each team member, and save their technical lead to a Google Doc" - "every week, visit these 500,000 company websites, find their jobs page, and send the list of their jobs to Airtable" - "build a spreadsheet of the competitive landscape of AI data startups" - "monitor our competitors products and email me when something is cheaper than ours"
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Based on our record, Mochi seems to be more popular. It has been mentiond 55 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It's not FOSS but Mochi [0] is a pretty good alternative. [0] https://mochi.cards/. - Source: Hacker News / 7 months ago
Possible alternative to check out (not affiliated): https://mochi.cards/. - Source: Hacker News / 7 months ago
I would like to see randomized control group studies using study mode. Does it offer meaningful benefits to students over self directed study? Does it out perform students who are "learning how to learn"? What affect does allowing students to make mistakes have compared to being guided through what to review? I would hope that study mode would produce flash card prompts and quantize information for usage in spaces... - Source: Hacker News / about 1 year ago
I'm a big fan of Mochi[1] (also unaffiliated) after getting frustrated with the clunkiness of Anki. Mochi has great native apps on macOS and iOS (and maybe more?), the cards are formatted in markdown so I can generate them with LLMs with a custom system prompt, and I just found out today they have an API so I might try my hand at getting an LLM to push new cards on its own via. An MCP server. 1. https://mochi.cards/. - Source: Hacker News / about 1 year ago
I think spaced repetition can be very helpful in language learning, but the author's plan of finding a pre-made deck of the most common 5,000 words is probably the worst way to use it. A much more effective approach is to create vocab cards yourself as you find new words through your immersion. Immersion could be anything from watching content online, to reading, to conversations with native speakers. From here... - Source: Hacker News / over 1 year ago
Anki - Anki is a program which makes remembering things easy. Because it's a lot more efficient than traditional study methods, you can either greatly decrease your time spent studying, or greatly increase the amount you learn.
OData - OData, short for Open Data Protocol, is an open protocol to allow the creation and consumption of queryable and interoperable RESTful APIs in a simple and standard way.
Quizlet - Quizlet allows you to review and create flashcards for a variety of subjects, such as math and reading.
RemNote - All-in-One Tool For Thinking & Learning
Memrise - Learn a new language with games, humorous chatbots and over 30,000 native speaker videos.
AnkiDroid - Memorize anything with AnkiDroid!