10 universal methods across the research lifecycle. Built from 75+ curated resources. 28 microcourses, 3 hours, 8 companion webapps.
Free for PhD students, postdocs, early-career researchers. 🔗 https://t.co/TeXdvVLGYl
Research methodology courses measure quiz scores.
This one measures what you're still doing 60 days later: >70% retention of systematic practice (PRISMA review, IMRaD writing, reviewer response techniques).
The gap isn't knowledge—it's sustained application.
Research taste is usually treated as intuition you develop over years.
This course operationalizes it: Beauty (0-5), Simplicity (0-5), Biology (0-5). Score your research directions, allocate time to 12-15/15 ideas, abandon <9/15 projects.
Covers scaling era → research renaissance transition for ML researchers.
Paradigm shift analysis, jaggedness diagnosis, value functions, systematic taste framework.
Free. 3 hours.
This course focuses on insights from the podcast episode for 0 to 1 founders.
Like this comment if you are 1 to 10 founder looking for a similar course from the podcast episode.
"The moment you delegate hiring, the company stops being yours."
This course, crafted using our Cognitive Learning Engine, isolates recruiting-as-delegation as the inflection point where founders lose company DNA. Six frameworks from @naval 's "Curate People" podcast.
New podcast on recruiting (full episode). Links below.
Curate People
0:00 The Best Only Want to Work With the Best
3:49 You'll Never Be Able to Hire Anybody Better Than You
6:45 Break Every Rule to Get the Best People
10:19 It Just Takes a Small Group of People to Create Something Great
14:56 Find Undiscovered Talent Before Everyone Else
19:04 Great People Have Taste in Other People
21:24 Every Great Engineer Is Also an Artist
25:34 Early Teams Look Like Cults
27:59 You Can’t Make a Product that is Simple Enough
30:37 The Founder’s Personality Is the Company
34:45 Good Teams Throw Away Far More Product Than They Keep
38:41 All New Information Starts as Misinformation
40:47 Geniuses Only
44:24 Practice Your Craft At the Edge of Your Capability
49:14 Curate People
@oriflowAI Course Link: https://t.co/vzaolzQKlX
Course created using @oriflowAI out of the latest "How I AI" podcast episode from @clairevo and Tim Mcaleer, supported by @lennysan
This is so meta that I am "AI"ing course out of an episode from a podcast titled "How I AI" 😄
Scaling past $20M requires shifting from client acquisition to client retention.
Most operators measure new deals. The ones who breach $50M measure repeat revenue percentage.
https://t.co/9AR2vaHcPT
This course maps the full production path: SDK evaluation, streaming with error handling, type-safe outputs, auth and database integration, cost prediction, observability, bounded agents.
27 microcourses, 180 min, free: https://t.co/oXqEpA1B7m
Vercel AI SDK demos ship in two days. Production deployment reveals the gaps: authentication, message persistence, cost tracking, observability.
The SDK is a transport layer, not a complete framework.
Organizational transformation fails when leaders react to AI hype without addressing foundational inefficiencies—Conway's Law duplication, process waste, and commodity headcount planning.
https://t.co/IhkbY0Btxg
Lenny Rachitsky's recent podcast with Dhanji Prasanna (Block CTO) covers six methods:
Conway's Law org audits, process elimination filters, portfolio productivity balancing, learning-first hiring rubrics, & headcount scenario modeling using Block's own baseline.
Just finished the episode an hour ago.
Like every Lenny episode, it didn't disappoint.
Started taking notes on Conway's Law, process elimination, and Block's 20-25% productivity gains... then thought: why not build something more comprehensive?
👉https://t.co/8gJighg1vX
For programmers (6 months-3 years experience) who spend hours stuck on bugs.
Result: 40% faster debugging. Stack Overflow answers within 24 hours.
Free course: https://t.co/P4Hc7aj2OD
Developers debug two ways now: ask AI until something works, or manually trace for hours.
Both extremes skip the thinking step.
@StackOverflow 's "how do I ask a good question" page encoded universal problem-solving methods, not forum etiquette.
Here's what they teach:
• Question optimization
• Iterative refinement
• AI-integrated workflows
Each method includes AI practice tools. Apply to your actual bugs, not exercises.