Also, what percentage of the company you're getting and the valuation can be answered without seeing the cap table.
3,296 karma · joined February 28, 2015
bay area based founder, engineer at heart
arithmetic@gmail.com
http://dopeboy.github.io/
Also, what percentage of the company you're getting and the valuation can be answered without seeing the cap table.
If you're reading this, I'm curious what your plans are to monetize. What companies are you taking inspiration from?
* Pay $15/month for a VPS (whatbox in my case).
* whatbox has a notion of first class apps, including Plex. Click a button in their GUI to install it.
* drag and drop your music using whatbox's GUI file browser
That's it.
One use case I've had is that I hate spending time on my linkedin, twitter, etc newsfeeds. But there are a handful of people I care about and want to keep tabs on.
Is there a way I could use TaxyAI to setup a role to monitor my LinkedIn newsfeed and keep tabs on certain people + topics and then email me a digest of that?
Don't pivot your career. Don't burn the boat and jump into AI. Just be aware of these tools and get good at what they're poor at.
I'm processing this news in realtime like many of you and forming a plan:
1. Understand how LLMs work. I've heard the Wolfram paper is good; open to more suggestions here.
2. Continue to practice using real implementations of LLMs including ChatGPT and co-pilot.
3. Finding painpoints within our company that AI can make more efficient and implementing solutions.
If anyone feels the same way and wants to form a working group with me, give me a shout. Email is in my bio.
I think the best thing one can do is learn how LLMs work, acquaint themselves with real implementations of it (ChatGPT, copilot), and then find ways to integrate these techniques into their companies.
I imagine a lot conversations with in-house AI folks is around deploying these methods.
I attribute the speed at which incumbents are integrating AI into their products to a couple things:
* Whereas AI was a hand-wavey marketing term in the past, it's now the real deal and provides actual value to the end user.
* The technology and DX with integrating w/products from OpenAPI, SD, is good.
* AI and LLMs are capturing a lot of attention right now (as seen easily by how often they pop up on HN these days). It's in the zeigeist so you get a marketing boost for free.
Our hypothesis was that students self studying for the SAT used books (eg Kaplan) but the solutions in the back were poor in explaining how they arrived to the solution because they usually just cut to the chase rather than explaining the approach & helping you arrive to the solution.
So we took each practice SAT math question and wrote out a solution spread over four swipeable pages. Our hope was that if you saw the first or second page, you'd arrive at the solution without having to see the answer, thus increasing your chance to solve it on your own next time.
We spent over 100 hours tutoring kids and had them use our MVP to mild success. The obvious next step was to automate the solutions rather than hand write it ourselves - like GPT-4 has done here.
As someone who has logged over 2000 hours teaching, there's a lot of soft nuances and tactics to tutoring. Also, motivation is a big thing a good tutor brings. I don't see this solution as quite there yet but getting close.
Very optimistic here.
We use Metabase at our company (created and managed by a non developer). Can you share some reasons for us to switch to Plato?
We are seeking one senior django engineer to help us with a 4-6 week sprint. We are a fantasy sports company with the twist that you own the players. More details @ playswoops.com.
Tools/technologies:
* Django rest framework (required)
* Celery + redis (preferred)
* Database modeling + architecture
We'd prefer a 40 hr/week commitment but open to 20-30 hrs. Pay is based on experience but starts at $85/hr.
Reach out to manish@playswoops.com for more.
I realize not everyone is like that. I’m also not a parent which would probably tilt the equation for me.