We

We built an AI-enhanced prototyping tool similar to v0

Hacker News

We built an AI-enhanced prototyping tool similar to v0

Formulator is an AI-enhanced tool that helps you build front-end components, and websites. What makes our tool different from v0 is the following: - In addition to generating websites with text prompts, Formulator also lets you iterate by making changes manually using a drag-and-drop UI to add/move/delete elements - You can edit element properties directly using the sidebar tools - The tool outputs plain HTML so you are not tied to any specific javascript framework This tool is very early, and has a number of bugs and usability issues. We are launching an open beta to gather feedback and to gauge interest. We would love for you to try out the tool and let us know what you think.

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Actual performance

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, open, plain · Missing: mac, agents, macos
93%93% 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
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, 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
32%32% 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
19%19% 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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