Slack Meets GitHub Issues

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Last year I gave in to the temptation of doing my own startup and quit my job, just like many others have done on this site. Since then, I’ve severely changed my lifestyle and reduced my living costs to a crazy low figure and worked my ass off for the last 8 months to achieve this: www.openloopz.com I have written more about it on Medium here: http://goo.gl/JN03yf I knew from the start the odds were stacked against me. I’m almost 36, I have a family and I live in the North East of England where - without wanting to sound negative - the opportunities are few and far between compared to what I see on here. When I made the BETA announcement, I knew no-one would just magically sign-up, but I watched and waited anyway and became extremely pissed off when it didn’t happen. “It’s been 2 hours - why haven’t I got 100 sign-ups already?”. Silly really. I used up all my savings to get this far and I don’t regret any of it (except maybe the weight gain, lack of a social life, and development of bad sleeping habits!). I wanted to prove to myself I can build a production quality app that I honestly believe in without bias, and I can truly say I have achieved that now. But now comes the hard part. I need to force myself to stop coding and start actually talking about OpenLoopz and trying to spread the word. I am the first to admit I am not very good at this. I am struggling to even write this post because I already know that probably no-one will read it. But I just have to learn to get over that and keep going. Any feedback - good or bad - will be greatly appreciated, thanks.

Visit product View on Hacker NewsMar 4, 2015

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

78%78% 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: slack, new, coding · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

62%62% 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: month, way · Missing: mobile apps, ios, personal

47%47% 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

34%34% 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

18%18% 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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