After building a few apps on top of #gpt3, realized I was missing toolsets, so built it myself.
It’s called Geppetto.
Here’s how it works 📖
ICYMI, GPT-3 is a powerful AI tool where you provide it text, and it spits back text (poetry, code, etc).
It’s quite magical, but takes a bit to learn. Sometimes getting that initial text takes time. And if you get it right, you want to save the input text (called prompts).
An example of what you can build on top of this tech is this a Due Diligence tool, where you feed it a startup description and get various risks back (technical, legal, market, etc).
Another example is a US Politics App, where you get a conservative and liberal response to any questions.
One last example for now is building a Life Advisory Board of celebrities, historical figures, and fictional characters.
Ask a question and get responses from Gandhi, Socrates, Kanye West, or whoever else you choose.
All three above examples are apps built on top of Geppetto (built on top of #gpt3).
Only takes about 10 minutes to build an app, let’s do a quick walk through 🧐
First, build an app by choosing a name.
That’s it. You can add a description later.
Each “App” has one input form, and can be tied to multiple prompts, which are combined with the form input before being sent to OpenAI’s #gpt3
The US politics example from above has two “Prompts” attached to it.
Creating a Prompt (w template)
Easiest way to create prompts is with prewritten templates!
For example, if you want to add a Famous Person to your app, just choose the template and type in a name.
And that’s it!
Once you’ve built your app, you can ask questions, or feed it text to translate/expand/summarize.
Jump to the Manage App page to see the prompts that you’ve added to an app.
Click on a prompt to see the raw text behind the template.
This is a great way for beginners to learn from the template’s we’ve set up.
Tap on the pencil icon to edit.
Our prompts aren’t perfect, surely you can improve on them! This adds infinite customizability to your apps.
Advanced users can create Raw Prompts without our templates.
Simply include a variable where the user input goes. You can run any prompt here that you could run on OpenAI.
Another way I use Geppetto is to improve my prompts through testing multiple simultaneously.
In this example, I’m testing multiple versions of the “Famous Person” prompts# to see which result I like best.
I then used the best one and turned it into a template.
Btw, this works fully on mobile!
So yes, I can now go from an AI app idea to prototype in 10 minutes on my phone.
Another thing I’m excited about is letting people download csv files of past prompts and responses.
This is a helpful feature for people who are running tons of prompts, and need to track the ones that work best - or maybe use them for further tuning.
Why did I build this? Because:
1) It’s awesome. I use these tools to support my work and portfolio companies. 2) It’s fun. Not going to lie about that. 3) To meet people!
I’m slowly letting people try out Geppetto. Sign up for the waitlist here!
I’ve been helping founders w this a lot recently, so thought I’d share a couple specific strategies I love to use myself 👇
1/ Pick 3 things
Assume that an associate who skimmed your deck in 1 min has to pitch their partner in 30 sec.
Pick 3 things you want them to say - and hammer that point in.
Say it in different ways, imply it, etc.
1 cont./
If 10 people skimmed your deck for 1 min, and you asked them what was exciting about your business, will they all say those three things you want them to remember?
The hardest/most important part of this is figuring out what those three things should be.
When we started, we be benefited greatly from content shared by other VCs like @dunkhippo33.
We wanted to do the same, so analyzed our fundraising data to share with you.
Let’s dig in 👇
As a caveat, every firm’s journey is different, so this is at best a data point for future emerging managers.
As our data will show, we took a long and steady network based approach. 4 mo preraise, 9 mo raise til first close, and 18 mo between first and final.
Total: 31 mo
For context, I started this raise as a solo GP and joined forces w @jessicajackley before our first close. Both with VC experience but neither with attributable track records.
For some further context, you can learn about our fund here:
Before I start, apologies in advance for any mistakes or oversimplifications. I also know I'm also missing/forgetting great stuff - please share what you've seen in replies!
I'm building a community of people interested in experimenting with new web3 tools at @pixelbeastsnft. So I've been looking at token-gating tools, but wanted to play around myself.
I decided to play around w the Metamask and OpenSea API two nights ago and... ya know how it goes.
Metamask API gets me your wallet ID, and I ping OpenSea for the assets you own. Once I have that, I know which "collections" you're a part of.
Once you log-in, you'll see a list of "Rooms" you have access to.