MeMoMag |with NO budget, we are finalists at the DigitalMagazineAwards

Hacker News

Hi everybody! We are Libre, a small digital company based in Turin (libreidee.com). Togheter with a group of great (very great!) photojournalists we spent a lot of nights trying to create a unique and innovative product: http://memo-mag.com/ We want to use the strength of digital technology and a sensitive eye to produce an App which combines photography, video, text, 3D animation and info-graphics in order to develop and consolidate new ways of storytelling. After hard months of work, next week we’ll be in London at the Digital Magazine Awards against Wired, The Economist and so on! Evey issue costs 10$ but for Hacker News we have free coupons! Just send me an email to couponhn@memo-mag.com We wait for your feedback. Thank you!

Visit product View on Hacker NewsNov 4, 2015

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Did not reach leaderboard

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

81%81% 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: new, email · Missing: mac, agents, macos

57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, month, way · Missing: mobile apps, ios, personal

44%44% 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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

13%13% 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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