شما این “بازی‌های ضعیف” را دیده‌اید، پشتشان ماشین پول‌ساز است

When scrolling through TikTok or similar feeds, you’ve surely seen those ridiculously simple mini‑games—move the car, connect pipes, save the dog head, watermelon merge clones. Graphics look rough, mechanics are dead simple, you might swipe away annoyed. Truth is, these “dumb” games are among the most stable profit makers in the info‑feed ad buying market.

Logic is dead‑simple. Development cost trends to zero, gameplay already validated by the market (users can’t resist tapping for a couple rounds), monetisation comes from in‑game ads and light IAP. One rewarded view nets the dev a few cents to a couple of bucks; a game pulling tens of thousands of daily users prints money on its own. Even nastier: according to the source post, developers usually launch dozens‑to‑hundreds at once (“80‑100 in a batch” – not independently verified) and let the horse‑race pick a winner—nine die, the survivor pays back the spend plus profit.

Before 2024 the bottleneck was game dev: outsourcing a decent mini‑game cost a few thousand to tens of thousands of RMB and took weeks. Small players couldn’t afford the batch‑race. AI tools from 2024‑2025 have flattened that wall.

فرصت در جای است: AI هزینه ساخت بازی را به صفر می‌رساند

Recently overseas dev circles have been buzzing about a tested case: Theo (t3.gg) shared his full flow—install Blender, open a Codex‑style AI coding tool, paste a prompt, and after 30 min‑2 h you have a playable game. Reddit’s r/aigamedev also shows people pairing the Astra model with Blender to spit out retro‑pixel games in under half an hour, complete with shoot, reload, melee, and idle animations.

Notice the cost shift: before a mini‑game needed a planner, programmer, and artist; now it’s just a prompt + a half‑hour wait. When the per‑game cost drops from thousands of rials to the price of a few kWh, the “batch‑race” tactic once reserved for midsize studios becomes open to solo creators.

Demand stays hot. According to AdTracker data from iResearch, game‑type info‑feed ad spend shows clear seasonal spikes—winter and summer vacations push impression counts to peaks; in Feb 2019 the platform logged 13 254 ad‑day units. Mini‑game info‑feed ads even spawned a dedicated “ad‑gold” top‑up product on the ByteDance engine, with a full top‑up‑and‑auth flow. The whole supply chain is mature; what’s missing is cheap content. AI plugs that gap perfectly.

Step 1: بازی را بساز—ابزارها و فرآیند

The core stack for creation is Blender + an AI code‑gen tool. Blender handles 3‑D assets and animation; the AI writes gameplay logic and spits out code. Theo’s four‑step recipe is laughably simple: install Blender, launch the Codex‑like app, drop the prompt, wait 30 min‑2 h for the build.

Here are a few battle‑tested tips:

1. Don’t chase novelty—copy already‑validated formulas: car‑shuffle puzzles, merge‑drop, idle clicker, physics‑launcher. Users need zero education; they start playing instantly.
2. Pick “goofy‑cute” or retro‑pixel art—these styles have the highest AI‑gen success rate and the best CTR in info‑feed thumbnails.
3. Keep each round 1‑3 minutes, make failure easy and restart free‑of‑charge—that loop creates the addictive “just one more try” feeling you see in those endless‑play clips.

Output target: a browser‑ or WeChat‑mini‑game‑ready build with 3‑5 levels and at least three rewarded‑ad slots. Once fluent, spitting out 2‑3 builds a day is routine, not bragging.

Step 2: تبلیغ و رقابت—پول کم برای تست، پول زیاد برای برنده

Newbies should start with two channels: domestically, use ByteDance’s ad‑gold pathway for mini‑games (clear auth, top‑up, and launch docs); internationally, go with TikTok Ads and Meta—lower CPI, ideal for pure IAA (ad‑revenue) models.

The race tactic hinges on budget discipline. Give each test build 300‑500 IRR (≈ $7‑$12) and run 24 h. Watch three metrics: CTR (< 1.5 % → kill), day‑1 retention (< 15 % → kill), and ad‑impressions per user. Throw in a batch of 10; expect 7‑8 to die—total loss stays in the low‑thousands. The 2‑3 survivors usually reveal a clear winner; dump the remaining budget into that one.

Counter‑intuitive tip: don’t try to fix the losers. The material race is a lottery—winning numbers are voted by users, you can’t craft a winner, you can only discover more tickets. That’s why AI‑driven volume is the