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60,000 Installs on My Figma Plugin

Hacker News

60,000 Installs on My Figma Plugin

I'm thrilled to announce that my Figma plugin, Siter, has reached an incredible milestone of 60,000 installs! This achievement goes beyond just a number. It's a testament to the hard work and passion that went into developing Siter, reflecting its value to you, the talented designers who turn to Figma for your creative needs. The journey to create Siter was fueled by a vision to seamlessly integrate design with web development, allowing for an effortless transition from Figma designs to fully functional websites and HTML. Seeing this level of adoption and receiving your feedback has been overwhelmingly positive, reinforcing the belief that Siter is making a real difference in your design workflows. I want to extend my deepest gratitude to everyone who has embraced Siter, shared their insights, and helped spread the word. Your support is the driving force behind continuous updates and improvements, aiming to make Siter even more integral to your design process. If you've yet to try Siter, I warmly invite you to explore how it can enhance your design to development workflow. Here's to reaching this milestone together, and to many more in the future.

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Actual performance

5points
1comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
93%93% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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 · 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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