Sell anything with just a link

Hacker News

Just launched and would love to have feedback :) Website: www.mywindow.me Android app: https://play.google.com/store/apps/details?id=www.mYwindow.co mYwindow makes selling stuff as easy as sending an instant message. You really need to see how easy and beautiful it is. Sell Digital goods like design, software, ebooks, photos, or even a link. Accept Pre-orders for books, physical products or anything else. Sell Tickets for events, workshops, parties etc. Just add a Product ---> You get a unique link ---> Share the unique link within your community ----> Your money is here You can also sell anything via your OWN website which requires ZERO coding experience. No more long check-out pages. We also offer incredible analytics like who came, from which device, whether clicked buy or not, and also send out daily/weekly reports. We deposit the money directly in your bank account. You just keep creating while we handle the complex stuff. The iOS app will be launched in coming 10 days and our fingers are crossed!! We really hope you would continue to support and love mYwindow as you did earlier. Please give your feedback by tweeting @mywindow_me or mail humans@mywindow.me Have a great day :)

Visit product View on Hacker NewsJan 8, 2014

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

96%96% 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 · Strong signals: google, apps, physical · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, 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 · Strong signals: ios, apps, google · Missing: mobile apps, personal, entrepreneurs

41%41% 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

32%32% 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

21%21% 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.

Incorrect prediction on native model

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