Dream – an LLM-powered no-code tool for functional web applications

Hacker News

Dream is an AI-powered no-code tool that allows anyone (designers, engineers, founders) to build functional web applications with natural language. Dream is built to allow web applications to be built iteratively with prompting. You can generate the first version of your app with a generic prompt, but iterate on your app through prompts for style modifications, adding features, bug fixing, etc. Here’s a video demo of the product: https://youtu.be/KtYbPMn3tK0 This is a two-week MVP and I’m actively exploring targeted use cases and audiences that could find value in the product. I’d love any feedback on the product UX and various use cases that Dream could be helpful in!

Visit product View on Hacker NewsApr 19, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

65%65% predicted probability of success on Indie Hackers, 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

49%49% 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 · Strong signals: video · Missing: mobile apps, ios, personal

47%47% 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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

11%11% 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.

Incorrect prediction on native model

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