Just spent a week in SF with my co-founders in the new @slamco_ space.
I’m feeling a confidence and focus I haven’t felt in a year.
Building a business with passionate, generous and incredibly talented people has that effect!
We are so back 📈
I made a script for people who need to lock in
It tracks head & eye movements to detect if you’re distracted or doom scrolling. As soon as you look down the skeleton starts banging his shield
Follow & comment no-distractions if you want to try it 💀
I’m treating my job search like a growth problem, and I’ve got 45 days to crack it.
Instead of sending a resume, here's a 50-second video of my work.
If you’re looking to grow your product through storytelling and filmmaking, let's talk?
Sleek just crossed $10k MRR in one month from launch
$0 spent. Fully bootstrapped.
Been working 10+ hours a day + weekends, but it's paying off
Just getting started!
Every time I come on here there's another person announcing that they've broken ___ MRR or some opinion on how to run a company the right way
staying laser focused and filtering noise is one of the most important things when building
especially in this AI goldmine where there's so much value to be created
I've learnt this the hard way and still make mistakes 💀
this platform can easily become your worst enemy if you let it
so much valuable information but at the cost of so much noise
you need to become an expert at sifting through otherwise you will fall victim to the loss of focus (the worst thing that can happen to you)
i have the most liked video on sora 2 right now, i will be enjoying this short moment while it lasts
cctv footage of sam stealing gpus at target for sora inference
For my app’s UGC program, we’ve been working on a ‘second pair of eyes’
Essentially an AI that can watch my creators videos and give feedback
It’s been super helpful to evaluate creators based on things that basic metrics couldn’t get.
Like ‘how often does creator x show feature y of my app in their videos’
Or like ‘what’s the ratio of experimental ideas vs tried and tested viral formats used by creator z’
Part of my effort to building a super efficient, well oiled machine
The unofficial TikTok api on GitHub , is unbelievable for scraping data on TikTok
Likes shares comments everything it’s on there and it’s implementation was key to the dashboard
Every-time I’m with my home friends they remind me of this 💀
I love the tech scene but it can feel overly opinionated and noisy sometimes
Important to take diverse perspectives on things
In sf, it’s important to have “tech friends” and “normal friends”
Tech friends:
- understand why you’re here
- will inspire you to work harder
Normal friends:
- remind you the rest of the world doesn’t give a shit about any of the above
- love a beer
I’ve been grinding emails & DMs to influencers and this is exactly the experience I’ve had lol
Definately a numbers game though, you will find really great creators who will help grow your business if you keep hustling outreach
@_eth0n “Hi yes I’m interested my rates start at $100,000 per reel, but 1.5x if you want that cross posted to tiktok and another 3x for 30d of paid usage rights. If those prices aren’t high enough for you I can throw in a package deal and drop the price by 500 dollars, let me know!!!”
One of my biggest learnings of the year is to avoid scaling (hiring) too fast. My app saw over 100k users in it's first 3 months and immediately I invested most of the capital we earned on marketing and 'growing' the business.
But quickly found that I was spreading my time too thin and outsourcing things which I shouldn't have. Which lead to some slowdown.
Good thing its getting cold now, it's lock in time
I've made processes more lean and I'm working on building an insanely well oiled, efficient machine.
Biggest focuses rn are improving churn and hitting more viral videos consistently.
AI memory was my first real engineering challenge for Entries
Its a journalling app that 'remembers' everything you write
It helps you reflect by asking questions and surfacing patterns in your thoughts, ideas and emotions.
Making the journal feel truly personalised had me immediately wary of using things like rag or storing occasional important 'memories'.
Such a system would have low resolution and in the case of a retrieval algorithm the response quality could be bottlenecked by the ability for the algorithm to find the correct things in the user's journal entries.
So similarly to what @rauchg is describing, I've built a system that utilises the large context window of modern models as much as possible and compresses journal entries as they get older.
IN addition to storing key memories about users.
So based on the user's input, every response as as personalised as possible.
Still madly tinkering with this system and building upon it, but clearly something's working right, I've scaled it to over 200k journallers and growing just this year!
Search myentries[dot]ai , always looking for feedback :)
Single-threaded personal AI. Chatbots today assume that you’ll have multiple “conversations” and they’ll try to collect memories about you. In practice this is quite clunky. There might be an opportunity to break the mold, and maybe for a narrow usecase (like a truly personal assistant / confidant, rather than a general purpose search engine), have an app where it’s truly just one long chat. It’s all memories and context, that gets compressed in layers of memories over time to fit into the context (much like S3 storage tiers and CPU caches)