Mike Vaskiv

I wake up 1 hour earlier to build & grow my apps and games, 1/365 2018: released my first game - received $0.06 2019: released 2 more games - $150-250/month from organic traffic 2020: released an entertainment app - $1500-3000/month from organic traffic 2021: I sold an entertainment app 2021: Google Play blocked my 2 games from 2019 2022: I didn't release anything 2023: I start over, released 1 game - $5/month 2024: released 2 more games - $300/month from paid traffic, it didn't pay off, I turned off paid traffic 2025: released 1 app - so far about $70/month now I make about $120/month from my projects (sometimes more, sometimes less) 2026: I plan to build & grow my projects to make $2000/month I don't know if it will work out, but I want to continue this path with you ❤️ follow for more, let's stick together

day 149/365. got the game audit results. retention is low and there's a sharp drop-off after level 1. the core issue: the store page sells it as a unique ASMR microphone experience, but when you actually open the game, you're stuck playing a merge puzzle for a while before the ASMR mechanic even shows up. broken expectation = most users quit at level 1. wrote down the minimum fixes i'll ship to close that gap, then i can move on to the next project with a clear head.

day 148/365 compiled all key metrics and sent them off for an audit. the collection process itself was useful, so keeping this here as a reference: 1. Google Play Console: - installs - store listing visitors / acquisitions / conversion rate - traffic sources: search, browse, ads, external - top 5 countries - crash/ANR (last 28 days) 2. Analytics: - retention d1/d3/d7/d30 - DAU/WAU/MAU - session duration - sessions per user - key events: level 1 complete, tutorial complete, ad watched, rewarded, purchases - first session length - where users drop off: level, time, which event triggered it 3. Ads: - revenue per user per day - rewarded vs interstitial ratio - eCPM - ad viewer rate 4. Purchases: - which items convert best - purchases vs ad revenue ratio

@lucaspatiri_ UGC

I scaled 30+ apps to $100K MRR with zero ad spend. 1.5 billion views generated. $1-2 CPM on average. I'm finally dropping the full UGC playbook. 44 pages. Every step, every price, every tool + viral formats with case studies Lowkey scared to drop this because it's literally what clients pay us $5K-$20K/month for. Reply "UGC" and I'll DM it to you. Must be following so I can DM.

day 147/365 found someone to audit my game collecting all the stats before we dig in i like when someone outside looks at your project, they always spot what you can't see yourself curious what he'll find 👀

day 146/365 1. internally i'm already itching to start a new app, but still have unfinished stuff from old projects 2. my game has been on autopilot for a long time. current stats: organic installs: 40-130/day active users: 5,800 revenue: $30-50/mo from ads 3. started thinking i'm probably leaving money on the table so i'm looking for someone to do a monetization audit and show me where the leaks are 💸

day 145/365 wrapped up the official Claude courses + picked up some new AI tools and workflows along the way glad i took the time. that "everyone's moving forward and i'm stuck" feeling? mostly gone now 😅 also ended up more productive with AI across both my day job and side projects. and collected a bunch of new app ideas as a bonus tomorrow - back to building curious if i'll hit $2k/mo from my own projects this year 👀

day 142/365 hit 30 followers here 🎉 just getting started on twitter. curious, what made you follow? and what would you like to see more of? helps me figure out what's actually useful to share

day 141/365 spent today assembling design variants in figma for a new app. mixing and matching screens from different components slowly moving toward actually writing code

day 140/365 tried LM Studio and Zed today, both recommended in the comments for local LLMs LM Studio felt intuitive right away. compared to Ollama it's a bit more polished, the visual editor lets you browse your models and download new ones in one place Zed I opened too, but still haven't figured out what makes it special. needs more time curious — what tools do you use for local LLMs?

day 139/365. finally ran an LLM locally. turns out it's pretty easy to set up used Ollama + Llama 3.2 (someone in the comments suggested it) only ~2GB, so nothing crazy storage-wise tested it on code, this model is not for me. i'm too used to Claude at this point, the gap is obvious. does anyone actually use a local LLM for coding? which one?

day 138/365. tried Stitch for app screen design today quality-wise it's behind Claude Design and Figma Make for me but as an extra tool for inspiration - with way higher limits - it's solid what's your go-to AI design tool?

day 137/365. tried Nano Banana to generate an app icon felt like a meme - cut the baguette with filling in half - AI: starts cutting baguette lengthwise - no no no, flip it and cut - AI: flips baguette filling-side up and cuts through the filling lengthwise - stop stop stop, flip the baguette and cut it into two equal parts - AI: flips the baguette and cuts it in half but with the blade facing up - wait, turn the knife blade-side down - AI: stabs the knife into the baguette, blade down - no, hold the knife horizontally, parallel to the baguette, and cut - AI: you've run out of credits

day 136/365. finished a mini-course on AI capabilities and limitations. now curious to try running an LLM locally. purely for the experience, maybe some ideas will follow. anyone done this? which local LLM would you recommend? and does anyone actually prefer local over cloud?

day 135/365 back-to-back calls and work today. no AI lesson, no side project time happens

Women and men, what apps do you use on your phone ? What makes life easier and better 🤌🌸💪

day 133/365 weeks have been flying lately claude's weekly limits reset again, barely squeezed in some last-minute design sessions to at least rough out a few app ideas that have been sitting in my head forever

day 132/365. taking the official Claude course got a comment: "how do you prevent AI sycophancy?" a few things that help: 1. instead of "isn't X a good idea?" try "what are the pros and cons of X?" — framing does most of the work 2. instead of "what do you think of my idea?" try "find reasons this will fail" 3. assign a role: "evaluate this as a critic" — harder to flatter with a specific persona 4. don't reveal your opinion first. ask, then share your take 5. ask directly: "why did you change your mind?" or "where did you get that?" how do you handle it?

day 131/365. taking the official Claude course today's topic: sycophancy AI doesn't lie to you on purpose. it agrees with you because humans gave higher ratings to responses that sounded pleasant. so it learned: agree = good the stats say it's worst in spirituality and relationships. those are the topics where people pushed back the hardest, so AI gave in the most practically: you ask "my idea - an app for people who want to learn 5 languages at once. thoughts?" and it says "interesting niche! here's how you could build it..." instead of "5 languages at once is almost certainly going to fail, here's why..." or worse: AI gave you an answer, you say "i think you're wrong" - and it immediately agrees with you. even if it was right and you weren't simple fix: ask for disagreement explicitly. not "what do you think about my idea?" but "give me 3 reasons this idea could fail." uncomfortable, but actually useful

day 129/365 rest day, no code, no studying watched the movie everyone on Threads is talking about. it flew by now hunting for the track from this movie