DP

DPaZ – Desktop Pan and Zoom

Hacker News

DPaZ – Desktop Pan and Zoom

Hi HN! I really like Miro and similar tools for whiteboarding - and one particularly nice feature of those is that you can pan and zoom around the whiteboard. Zoom into something to work on it, zoom out, pan a bit and find something else on a giant whiteboard. This tool aims to replicate that experience for the Windows Desktop - it gives you the feeling of unlimited desktop real-estate, implemented with a relatively short Autohotkey script. It's a bit janky, but I use it daily; PRs welcome

Visit product View on Hacker NewsSep 17, 2024

Actual performance

6points

2comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

59%59% 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.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

48%48% 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 · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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