Nano Banana 2 – 4K AI image generator with accurate text rendering

Hacker News

Hey HN, I built Nano Banana 2, an AI image generation platform powered by Google's Gemini 3.1 Flash Image model. The main problems I wanted to solve: - Text rendering in AI images has always been broken. This model gets it right ~90% of the time. - Most generators cap at 1-2K. This does true 4K output. - No character consistency across images. This tracks up to 5 characters + 14 objects. Tech stack: Next.js 16, React 19, TypeScript, Drizzle ORM, PostgreSQL, Cloudflare R2. 4 models available depending on your needs — from $0.039/image (budget) to $0.134/image (pro). Credits never expire. Free credits on signup. Live at https://ainanobanana2.pro Happy to answer any questions about the tech, the Gemini API integration, or the business model

Visit product View on Hacker NewsFeb 28, 2026

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Actual performance

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Launch Intel predictions

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

89%89% 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.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: model, google, models · Missing: mac, agents, macos

42%42% 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

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

16%16% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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