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Map2Image – Download Beautiful City Maps

Hacker News

Map2Image – Download Beautiful City Maps

Hey there, we're excited to share our passion project with you: map2image.com. A haven for those who appreciate the elegance of city maps, i.e. beautiful art merged seamlessly with informative content. Many of my friends are from abroad and lived in various cities around the world. I built Map2Image with the help of a friend to generate images as small presents, hoping the maps would remind them of the bustling cities they once called home! I hope you enjoy them as well! Our goal: offering you well-designed city maps that elevate your home with sophistication. All maps can be downloaded for free and can directly be printed to serve as stunning art on your walls. We've put a lot of heart into this in the past: from trying our luck on Etsy, selling on private channels, evaluating different company structures, and navigating the maze of automated printing and shipping to customers... it didn't work that well and instead of letting this project die, we made a subset of images available for free. For sure the maps are not perfect (yet), but we make fixes occasionally. Also, the website was handcrafted without much Bootstrap knowledge. We will try to improve loading times and usability at some point. So, stay tuned. Happy about feedback & thanks in advance!

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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.
Hacker NewsStrong engagement from HN community · Strong signals: excited, lua, io · Missing: https docs, just released, exist
72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: occasional · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
35%35% 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
9%9% 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.

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