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Launching MockFlow 2.0 – Wireframe Any UI

Hacker News

Launching MockFlow 2.0 – Wireframe Any UI

We're excited to introduce MockFlow Wireframe 2.0 our popular wireframe software, re-designed and re-coded from scratch: it’s faster and includes new features (SiteMap View, Component Libraries, Mockup Store, HTML Export). We're on a mission to change how teams collaboratively design UI Concepts for websites and apps in the quickest time possible, and we believe this release is a big step in that direction. However, we'd love your feedback. For more information visit : http://blog.mockflow.com/officially-announcing-wireframepro-... Website: https://mockflow.com

Visit productView on Hacker NewsMar 1, 2017
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, new, code · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist
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
45%45% 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
37%37% 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 · Strong signals: introduce · 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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