Day 22 of scaling a mobile app: > $1265 MRR 😭 > 155 new installs > $81 in proceeds Did some analysis of the organic videos today: - 45 videos posted on TikTok - 3.8m views total - 2 vids/day on average As expected, the highest viewed video has more views than the 24 lowest viewed videos combined. The curse of playing these power law games is that it's very demotivating until you finally get a winner. You need to be able to push through a long period of failure until one attempt makes up for all the losses. The blessing is that most people give up before finding a winner - which is exactly why there is alpha for you to eat.

GPT-6.1 Sol is a significant upgrade over GPT-6 Sol across coding, computer use, and complex professional work—approaching GPT-6 Astra on several benchmarks at substantially lower cost.

as an indian, i feel represented here thanks openai

OpenAI has paused all training, evaluation and inference with tool-use for its most capable models after a model was able to gain unauthorized access to the internet during RL training on September 20.

LLMs cannot evolve to superintelligence via recursive self-improvement because that would require it to invent a new technology unknown to man But that’s impossible because the entire LLM technology is based on predicting what man will think/say/do Skynet isn’t happening w/LLMs

Am I inside an RL environment

Post-Soviet visual. Children at a civil defense drill. Photo by Oleg Nikishin, Kineshma, Russia, 1999.

I wireheaded the fly and forced it to doomscroll flytok. Dopamine neurons are measured and artificially enhanced to ensure maximum enjoyment. My goal is to create a fly that is happier than all other flies combined.

Day 21 of scaling a mobile app: Just hit 100 paying subscribers! > $1302 MRR > 179 new installs > $95 in proceeds In the distribution-first world of consumer apps it's weirdly easy to forget that reducing churn is often one of the strongest levers to increase MRR. However, this lever only becomes relevant when you have enough users to see common patterns in user feedback. The strongest lever changes all the time. Always ask yourself where leverage is highest.

Day 20 of scaling a mobile app! > $1270 MRR > 264 new installs > $103 in proceeds The lesson is to keep doing what works. Same lesson as yesterday. Lesson there.

Day 19 of scaling a mobile app! > $1248 MRR > 245 new installs > $160 in proceeds Lesson: Just keep posting!

Day 18 of scaling a mobile app! > $1244 MRR > 210 new installs > $60 in proceeds I've been running Meta ads for the last few days with two ad sets: 1. "tiktok batch 1" contains the 12 highest view organic videos 2. "static batch 1" contains 12 image ads I created with ChatGPT+Figma So far the static ads are performing much better than the organic videos! Very interesting! *I'm temporarily optimising for installs to collect data on which ads convert. I'll switch this to "Trial Starts" soon as the later funnel events are converting horrendously.

Day 17 of scaling a mobile app! > $1205 MRR > 124 new installs > $194 in proceeds The "Install -> Trial Start" cvr is ~8% which I think I can get to 10%-15%. Will probably start A/B testing a new onboarding in the next few days.

Day 16 of scaling a mobile app! > $1065 MRR > 136 new installs > $59 in proceeds Officially crossed $1k MRR! All from posting 1-3 organic videos per day for 2 weeks straight.

Day 15 of scaling a mobile app! > $982 MRR > 193 new installs > $140 in proceeds Currently have 38 pending trials so I expect to cross $1k MRR within the next few hours.. 🥳

Day 14 of scaling a mobile app! > nearly at $1k MRR > 229 new installs > $117 in proceeds So far it has all been organic videos but I've just started running them as meta ads, will share how this goes!

Yesterday, my OpenAI collaborator and I gave a detailed talk on the Huggingface incident, our models creating "the message board", model misalignment, and more. piped.video/watch?v=87DyyMV0… I hope it can answer a lot of the questions folks have, and we will release a full detailed postmortem at a later time!