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Gempix2 – A Cheap, Fast AI Image Generation API for Developers

Hacker News

Gempix2 – A Cheap, Fast AI Image Generation API for Developers

I built Gempix2, a minimal AI image generation service with a cheap, straightforward API for developers who don’t want to pay OpenAI / Midjourney level pricing. Why I built this A lot of devs just need a reliable and inexpensive API to generate: • product images • marketing visuals • anime / portrait styles • automation workflow assets (Zapier / n8n / Python scripts) But most services are either too expensive, rate-limited, or complicated for simple scripting. So I built a smaller alternative. What’s different • Very cheap per-image (affordable for indie projects + bulk use) • Fast generation • Simple REST API • No watermark • No weird rate limits • Supports realistic, anime, product, and artistic styles I built Gempix2, a minimal AI image generation service with a cheap, straightforward API for developers who don’t want to pay OpenAI / Midjourney level pricing. https://gempix2.us/ (API docs available on the site — if you want I can write a clean Swagger/OpenAPI version.) Why I built this A lot of devs just need a reliable and inexpensive API to generate: • product images • marketing visuals • anime / portrait styles • automation workflow assets (Zapier / n8n / Python scripts) But most services are either too expensive, rate-limited, or complicated for simple scripting. So I built a smaller alternative. What’s different • Very cheap per-image (affordable for indie projects + bulk use) • Fast generation • Simple REST API • No watermark • No weird rate limits • Supports realistic, anime, product, and artistic styles I built Gempix2, a minimal AI image generation service with a cheap, straightforward API for developers who don’t want to pay OpenAI / Midjourney level pricing. https://gempix2.us/ (API docs available on the site — if you want I can write a clean Swagger/OpenAPI version.) Why I built this A lot of devs just need a reliable and inexpensive API to generate: • product images • marketing visuals • anime / portrait styles • automation workflow assets (Zapier / n8n / Python scripts) But most services are either too expensive, rate-limited, or complicated for simple scripting. So I built a smaller alternative. What’s different • Very cheap per-image (affordable for indie projects + bulk use) • Fast generation • Simple REST API • No watermark • No weird rate limits • Supports realistic, anime, product, and artistic styles

Visit product View on Hacker NewsNov 21, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

93%93% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Strong signals: visual, openai, open · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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