Bricabrac – Text to Functional Web Apps

Hacker News

Hey HN! I would like to introduce Bricabrac, a text to web app creator. While no-code tools have democratised web app development, making it more accessible and faster, they often come with a steep learning curve and platform lock-in. Bricabrac aims to address these limitations by enabling rapid web app creation while still granting access to the underlying code. Some examples of uses: - Remix your own version of classic games - Make MIDI instruments (using the Web Midi API) - Create a custom tool, with a custom UI It makes use of the GPT-4 API and uses the amazing GrapesJS library. We're offering a free plan, which should be enough for you to create a full app. Bricabrac is in its early stages, and I'm really excited to receive feedback from the community. https://bricabrac.ai/

Visit product View on Hacker NewsApr 11, 2023

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Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

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

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

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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: introduce · Missing: web3, chat, crypto

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

Incorrect prediction on native model

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