Glazed.ai – Create AI Characters

Hacker News

Hi HN, I’ve just launched Glazed.ai, an API-first platform (playground available) for creating AI characters that combine image generation and conversation, consistently and contextually. Most tools treat image gen (Stable Diffusion) and LLM chat as separate experiences. With Glazed, you define a character once, and interact through both chat and visuals - with stateful memory and consistent appearance. What’s live: •Image generation using Stable Diffusion 1.5 + community-favored models like EpicRealism •Stateful conversations with memory per user and thread •Lightweight API endpoints (/v1/images, /v1/conversations, etc.) — no polling or job queues •Fast responses with smart defaults for image consistency and prompt hygiene The product is fully usable now and actively being improved. Open to any feedback or questions. - glazed.ai

Visit product View on Hacker NewsMay 27, 2025

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2points

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

85%85% 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 HuntOn track for Day 1 leaderboard · Strong signals: model, user, models · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: para · Missing: mobile apps, ios, personal

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

50%50% predicted probability of success on AppSumo, 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.

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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, smart · Missing: web3, crypto, cryptocurrency

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

Correct prediction on native model

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