Lucent Chat – Create videos and images with Veo, Sora, etc. in one chat

Hacker News

Hey HN, We built Lucent Chat because creating with AI has become a mess. You'd ask ChatGPT for a prompt, copy it into another tool, tweak settings, open three tabs, run into token limits, and lose your style halfway through. Iteration was slow, context vanished, and the process killed the creative flow. Lucent Chat is our attempt to fix that - a single chat where you can generate, refine, and manage all your visuals and videos across Veo, Sora, Kling, Seedream, Nano Banana, and more. You describe what you want and Lucent handles the rest. It will find the right model, optimise your prompt + parameters behind the scenes. Once you do generate something, it's dead simple to keep on going and iterate off it with remixing. You can also get inspiration from what others are creating. We started this out of frustration with how fragmented creative AI had become, and now we're releasing it to the world. We're giving out free credits (40 images or 4 videos with Sora 2) to early adopters from HN! You can try it here: https://lucentchat.com?utm_source=hn Feedback is hugely appreciated.

Visit product View on Hacker NewsOct 29, 2025

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

86%86% 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, context, visual · Missing: mac, agents, macos

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

59%59% 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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

40%40% 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

18%18% 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 · Missing: web3, crypto, cryptocurrency

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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