Impulse – Impossible Dev Tools for React and Tailwind

Hacker News

Writing HTML sucks. I've been making websites and web apps for almost 10 years. As a developer, I've never liked it. React and Tailwind made it an infinitely better experience for me, but something was still missing. Switching between the code and the browser all the time felt wrong. At the same time, I felt lost with No-code editors because they are made for designers not developers. I've written about it extensively here: https://rogovoy.me/blog/writing-html-sucks Impulse is my experiment to bridge that gap and make a "design" tool that works directly with my code. With Impulse, I've come to love web design (again?).

Visit product View on Hacker NewsSep 28, 2022

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, code · 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

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

66%66% 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: apps · Missing: mobile apps, ios, personal

44%44% 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

36%36% 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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