Build fast by writing placeholder UI in DumbDuck components (see cmnts)

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This is something I've been working on for a while. I've previously shared a video showing the designing and code exporting process of my web/mobile design tool[0]. I still felt at that point that there was a huge disconnect between development and design. I think I've solved that with these special components that allow: - developers to build their logic using zero effort, placeholder UI - designers to redesign these UI's while testing their work in its final form, in the full context of the application - developers to accept these ready-to-go designs in a way that doesn't clutter the codebase I oscillate between feeling ecstatic, because I feel like I'm on the edge of finally solving the back and forth handoff problem I've often dealt with, and some light despair, because I have a very small network (no decision makers) and would struggle to get something even perfect off the ground. I'm only saying this so someone reading is encouraged to either A) let me know that this is something they want or B) bring me back to reality, and explain why I'm wasting my time. Cheers! [0] https://news.ycombinator.com/item?id=36291173

Visit product View on Hacker NewsJun 27, 2023

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

90%90% 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

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

55%55% 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 · Missing: arr, mrr, revenue

14%14% 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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