Move Fast Break Things

Hacker News

Hey there, Remember this quote in the title? Why Move Fast? In the fast-paced world of startups and innovation, speed is everything. Every moment counts and every second lost can mean missed opportunities. Why Break Things? Breaking things is an essential part of the creative process. It's through experimentation and iteration that groundbreaking ideas emerge. This is what we do at whoCodes. We take your idea and transform it into a functional prototype within days, allowing you to visualize your product and gather early feedback. We don't stop after the first version. We gather user feedback, analyze data, and refine your MVP to ensure it evolves into a product people love. Ready to turn your vision into reality? Reach out today at hammad@whocodes.in, and let's move fast, break things, and create something remarkable together!

Visit product View on Hacker NewsAug 19, 2023

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

71%71% 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

60%60% 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

44%44% predicted probability of success on AppSumo, 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

40%40% 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: visualize · Missing: mobile apps, ios, personal

33%33% 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

15%15% 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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