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Wireframing Icons

Hacker News

Wireframing Icons

Here is my latest project Wireframing Icons. It is a Set of 180+ Vector Icons mainly build for Wireframing support but can be used for for other applications, web sites etc. The Icons are exported in almost any vector program and format: Photoshop, Illustrator, Fireworks, Keynote, PowerPoint, Omnigraffle, Balsamiq also the Icons are exported as Transparent .PNG (16x16px, 32x32px, 64x64px, 128x128px, 256x256px, 512x512px) And the link to the project: http://www.photoshopwireframingkit.com/WireframingIcons.html What do you think?

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Actual performance

1points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
64%64% 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
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · 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
27%27% 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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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