Munich Developer Conference – daho.am

Hacker News

Hi! STYLIGHT is very proud to announce the second iteration of daho.am, the Munich developer conference. This year it'll be even more epic with many interesting speakers from all over the world, like Spotify's director of engineering Kevin Goldsmith and Rocket Internet's CTO Christian Hardenberg. For a full list of speakers, check out http://daho.am/#speakers. WHEN AND WHERE The conference will be held June 12 at our beautiful office in the heart of Munich, easily accessible with public transport. TICKETS There are still some early bird tickets left and you can get a 10% discount with the code WELOVEHN10. http://daho.am/#tickets. CALL FOR SPEAKERS We're accepting proposals for interesting talks, just send your idea over to dahoam@stylight.com. Deadline is the 1st of May.

Visit product View on Hacker NewsApr 13, 2015

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

63%63% 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 · Strong signals: code · Missing: mac, agents, macos

52%52% 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

40%40% 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.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

24%24% predicted probability of success on Indie Hackers, 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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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