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What we've learned about learning š”
How AI can scale up effective pedagogy and help solve the 2-sigma problem
Aug 4
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Andrew Mao
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Dan Sosa
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Artur Balabanskyy
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Jen Goertzen
5
May 2025
Models don't have moatsāproducts do š°
In the AI world, picks and shovels āļø just help you dig a money pit
May 12
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Andrew Mao
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Artur Balabanskyy
February 2025
The right mindset over the right resumƩ
Our approach to writing a more engaging, more human job description
Feb 11
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Andrew Mao
2
4
August 2024
Parsnip's new AI does the heavy lifting šŖ
Our human-in-the-loop system creates content faster than ever, and at scale
Aug 20, 2024
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Andrew Mao
3
1
March 2024
Parsnip's bet on expert-trained LLMs š©āš»
Building a knowledge graph to power retrieval-augmented AI content generation
Mar 22, 2024
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Andrew Mao
3
January 2024
The "death zone" of venture capital ā ļø
How Parsnip can shortcut the difficulty of a venture-scale outcome in edtech
Jan 9, 2024
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Andrew Mao
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Dan Sosa
4
2
December 2023
Dan Sosa adds new flavors of AI to Parsnip š«
A symphony of LLMs, knowledge graphs, and passion for cooking & learning
Dec 5, 2023
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Andrew Mao
3
1
October 2023
How to personalize learning with AI š©āš
Solving Bloom's "2 sigma" problem with personalized learning for everyone
Oct 26, 2023
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Andrew Mao
Ā andĀ
Dan Sosa
12
February 2023
How's Parsnip doing on product-market fit ā
Over 30,000 downloads and 1.75 million questions answered
Feb 1, 2023
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Andrew Mao
10
1
January 2023
New year, new generative AI š¤Æ
Using ChatGPT and LLMs to accelerate Parsnip
Jan 6, 2023
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Andrew Mao
5
3
December 2022
The beginner cooks with their hair on fire šØāš¦±š„
How we discovered our initial market and built a product for them
Dec 6, 2022
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Andrew Mao
4
November 2022
Why you shouldn't invest in Parsnip š
and why we believe in our mission more than ever
Nov 22, 2022
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Andrew Mao
5
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