Of course hardware in edtech isnt new. Byju's for instance has thus far sold its content via tabs.
Incl MBA Prep, not just high school tuition.
Hardware is a great way to build a pipe / enable access in markets where internet bandwidth is iffy. As this SD card play from Nigerian startup @uLessonApp by @SimShagaya shows...
It is not just electronics....there is also @flintobox and similar edu kits.
Hardware is harder of course, but as the edtech space gets crowded and CACs keep rising, the startup that solves for acquisition cleverly or builds a new pipe (like @ClassplusApps for instance) and owns distribution, has an advantage.
Curious as to what else I am missing....
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A startup learns about itself in 3 ways. Or rather founders learn about their startup, & how well it is doing, or not, in one of 3 primary ways.
- customers / product iterations
- interviewees / hiring
- investors / fundraising
In that order.
Let us unpack this.
Customers / product iteration.
The best customer feedback is not by hearing them talk, but seeing how they interact with the product - buying it, or using it.
Learn from the feedback + reactions you get, & further iterate the product. And again go back to them with the product. The faster the pace of product iteration, the faster the learning cycles.
This is really what matters for learning from customers
Interesting to see Substack, Teachable (or Didactic from @wes_kao@gaganbiyani where @Lennysan is offering this cohort-based course) as the initial tiles of a larger revenue jigsaw (puzzle).
The core theme is of course @kevin2kelly's famous making a living of your 1,000 or (more) true fans. All of these (Substack, Teachable, Patreon, BuyMeaCoffee etc.) can be seen as ways to enable different route of making a living via your 1k fans
Before the internet, you had to go through gatekeepers (editors, music co CEOs etc) to reach your fans.
Then, in the first phase of the internet you had marketplaces (Skillshare, Udemy, itunes) where you dont have emails or even direct connects with your fans.
Understanding startups (or scaling startups), metrics & valuations
or
how not to be misled by analog metrics when you run digital scalable ventures.
1st a key clarification: there are many kinds of startups - at one extreme, think of a SaaS venture aimed at getting 1m+ developers to swipe their cards, aiming to be a $1b rev biz in 5+ yrs; at other a local restaurant or a pet salon with no rev goals. In middle varying combos.
VCs invest exclusively in the 1st kind of startups - businesses that grow big very fast (or scale) - typically tech or tech-led (incl software, hardware, biotech) ventures. Tech allows you to serve or acquire next customer at low to zero cost. This is an important criterion.
On my new post. This is a massive ~7k words piece!
I write abt the 'Indus Valley' playbook. Indus Valley is tour desi startup ecosystem, and the Indus Valley playbook is the hacks, biz models & approaches needed to win in this unique ecosystem.
Psychological moonshots (as opposed to regular engineering-led moonshots).
Great Q fm Rory - are we in startupland predisposed to more expensive engineering moonshots?
How reframing a negative as a feature, basis our understanding of human psychology, helps. A faster ship would have been harder to pull off & would have still meant slower speed vs an airplane. Instead they focused on slowness and the romance of sea travel.