Ginger: Better Team Discussions

Hacker News

Hi everyone, we (Lincoln Loop) are a development/consulting shop launching our first product, Ginger. Our team is spread across many time zones and has an aversion to disruptive/ineffective meetings. We've been looking for a tool that can help us have discussions and share information without interrupting our developers while they are in the flow. Email, Basecamp, Google Wave, and IRC all came close, but always fell short in some critical manner. We built Ginger to scratch our own itch hoping it scratches some of yours too. https://gingerhq.com Sign up is 1-click (Google/Facebook) or just a couple of fields to enter and no credit card is required to take it for a spin. We'd love to hear your thoughts on it all!

Visit product View on Hacker NewsApr 19, 2012

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, email · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

30%30% 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

16%16% 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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